Software Engineer jobs in Tel Aviv-Yafo

About Dash Security Dash Security is building the security layer for the agentic enterprise - so teams can let AI run, securely. Enterprises are adopting AI agents across coding tools, SaaS, cloud, and endpoints, and traditional security stacks don't work where agents interpret instructions, plan, and act at runtime. Dash discovers every agent, MCP server, skill, and interaction; captures full agentic sessions end to end; and observes, governs, and acts across every agent and interaction, everywhere they run - instantly. We exist to close the agent security gap with intent-aware runtime protection that scales with enterprise AI adoption. Role Overview We are seeking a Software Engineer to join Dash's core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security. Responsibilities Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Dash Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services). Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms. Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch). Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls. Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence. Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic. Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services. Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices. Qualifications BSc./MSc. in Computer Science or equivalent industry experience. 5+ years of professional software development experience, preferably building scalable distributed systems. Proficiency in TypeScript and Node.js with a preference for backend development. Experience with Go or Python is a plus. Hands-on experience working with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of agentic capabilities such as MCP servers, Skills, hooks, and similar agent tooling. Experience with cloud computing platforms (preferably AWS) and containerization (Docker, Kubernetes). Solid understanding of system design, data structures, algorithms, and microservices architecture. Familiarity with databases (SQL and NoSQL) and event streaming technologies (e.g., Kafka). Demonstrated ability to write clean, efficient, and well-tested code. Curious, self-driven, and eager to contribute to a rapidly evolving field like agentic security.

Job Description As an xEngineer at AI Creation, you'll take on some of the most exciting engineering challenges at Wix, shaping how AI becomes a core part of creating and editing stunning sites. • Take on engineering challenges to integrate AI as a first-class part of site creation and editing • Work on complex systems requiring deep technical understanding and collaboration with multiple engineering groups • Lead and own features end-to-end, from research and technical design to implementation and deployment • Collaborate closely with product managers, UX designers, and fellow engineers to deliver impactful solutions At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level. Qualifications • 5+ years of experience in software engineering, system architecture, and design • Excellent problem-solving abilities and a proactive approach to challenges • Strong sense of ownership and proven ability to lead complex technical projects • Strong communication skills, with a collaborative mindset and the ability to work effectively with other teams • Curiosity and a passion for exploring new technologies, with a strong interest in AI • Genuine passion for AI — it's at the core of what we build, and a drive to keep pushing its boundaries Additional Information We are the AI Creation team. We build the infrastructure and capabilities that allow users to create and modify entire websites — sections, pages, and components — using AI. Our work spans the full stack to bridge AI and the editor — turning user prompts into real changes on the site. As the AI infrastructure that powers site creation across Wix’s editors, we tackle exciting technical challenges at the intersection of AI, large-scale editor systems, and product experience — and our work sits at the core of how the next generation of Wix sites gets built.

Job Description Join the Wix Headless team, where you'll build and own products that give Wix users the flexibility to create and grow their online presence in new ways. Our team owns the product end to end - from the first interaction at the top of the funnel, through activation and conversion to premium, to the ongoing experience of our users. This means you'll work on problems that combine deep engineering challenges with product thinking and have a direct, measurable impact on key business KPIs. • You'll move between designing backend systems, solving architectural challenges, building product capabilities, and improving user experiences. • You'll have the opportunity to understand the entire product journey and influence both how we build and what we build. • We're looking for hands-on engineers who enjoy seeing the bigger picture. People who can take an ambiguous problem, understand the user and business need behind it, collaborate across disciplines, and drive a solution from idea to production and beyond. At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level. Qualifications • 4+ years of professional software development experience. • Strong JavaScript/TypeScript skills and solid backend development experience. • Strong understanding of software architecture and experience designing scalable systems. • Experience owning and delivering production systems end to end. • Strong problem-solving skills and the versatility to work across different technical and product challenges. • Product mindset - you care about the user experience and business impact of what you build, not just the implementation. • Excellent communication and collaboration skills. • Ability to take ownership, work independently, and drive projects from idea to production. Additional Information Wix Headless is a product-focused team with broad ownership and a strong connection between technology, users, and business results. We own the entire customer journey rather than individual pieces of it. We identify opportunities, solve complex technical and product problems, and continuously improve the experience based on how our users interact with the product and the impact we create.

Shopic is a leading AI company specializing in cutting-edge solutions for the retail industry. We develop advanced AI technologies that transform in-store shopping experiences, helping retailers optimize operations, enhance customer engagement, and drive growth. Our products harness computer vision, real-time data analytics, and powerful AI models to provide seamless, innovative solutions tailored to the needs of modern grocery and retail chains worldwide. Based in Tel Aviv, 4 times a week from the office, we are deployed in major grocery brands globally and employ some of the brightest minds in AI and Computer Vision. We're looking for a product-minded Full Stack Engineer who loves solving complex engineering challenges and building AI-powered products used daily by thousands of shoppers worldwide. You'll work side-by-side with AI tools and cutting-edge computer vision technology, shipping features end-to-end with real ownership and impact. You'll collaborate not only with engineers, but also with AI-powered development tools as part of your daily workflow. About The Role Own features end-to-end — from product discussions through design, implementation, testing and production. Design scalable backend services and intuitive frontend experiences. Collaborate closely with Product, Data, Algorithms and Computer Vision teams. Use AI-assisted development tools to accelerate delivery while maintaining high engineering standards. Continuously improve system architecture, performance and developer experience. Investigate complex production issues and drive long-term solutions. Contribute to technical decisions and architecture discussions. Your Experience & Skills 4+ years building production-grade applications. Strong Python experience. Experience with React and modern JavaScript/TypeScript. Strong understanding of software architecture and scalable system design. Experience working with SQL or NoSQL databases. Experience using Git and modern CI/CD workflows. Comfortable working with AI-assisted development tools as part of the software development lifecycle. Why you'll love working here Build products powered by cutting-edge Computer Vision and AI. Real ownership over features from idea to production. Work alongside experienced engineers in a fast-moving startup. Daily use of modern AI development tools. Solve real-world engineering challenges at global scale. Build products that transform the way millions of people shop.

At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world. About the Role We are hiring a Principal Software Engineer to join our team of experts. Come work with us and help shape the future of diabetes therapy. You will design and implement software, security solutions, and data pipelines for MiniMed’s Diabetes devices that will provide patients with data-driven therapy. You will be a focal point in defining the direction for new products and processes based on business strategy, with a significant impact. You will work in a heterogeneous team composed of Data Engineers, Software Engineers, QA Engineers, and Security Experts. Responsibilities: • Build a production scale and robust infrastructure • Lead designs of complex data flows and security solutions for diabetes therapy devices • Design and implement cloud architecture, collecting and processing data from services and medical devices • Explore and introduce new technologies to advance systems and therapy • Drive initiatives to evolve architecture and methodologies Requirements: • 5+ years Full Stack / Backend Developer experience • Experience in designing and running production workloads on AWS/GCP/Azure • Experience with large-scale data processing pipelines and applications • Experience with at least one of the following: Kubernetes, Serverless architectures, Stream Processing, Terraform • B.Sc. in computer science or a STEM degree / an equivalent military background Advantage: • Experience with Python, JavaScript/TypeScript, NodeJS, React • Experience with advanced cybersecurity solutions for IoT systems • Medical background is a plus #BetterDaysStartNow Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. Benefits & Compensation MiniMed offers a competitive salary and flexible benefits package At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life. About MiniMed We want to make every day a better day for people living with diabetes. Our team of creative innovators around the globe share a passion for finding the simplest solutions to the problems that people with diabetes face on a daily basis. For more than 40 years, we've been redefining what's possible, from intelligent dosing systems designed for real life to predictive insights that stay a step ahead, and we're dedicated to continuing to support our customers through every step of their journey — meeting them where and how they need it.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the Role TokenShift is PointFive's newest product — a lightweight CLI proxy that sits between AI coding agents and the shell or server, routing to different models for perfect model to effort fit, compressing command output to cut token spend and surface fleet-wide visibility. As an Senior software Engineer (Endpoint), you'll own the layer that makes TokenShift work: the per-agent harnesses, the compression rules and strategies, and the installation and hook mechanics that get us onto developer machines — reliably, invisibly, and at scale. This is a rare chance to build foundational infrastructure for AI developer tooling, at a company where your work directly shows up in the product used by engineering teams at companies like Expedia and EON. What You'll Do • Own the installation and enrollment mechanics — the CLI flows, MDM scripts, and platform-specific packaging (Windows msi/exe, macOS pkg, Linux deb/rpm) that put TokenShift on developer machines at fleet scale. • Instrument and monitor endpoint behavior through the telemetry pipeline, using signals to improve coverage and catch regressions. • Build and maintain a robust lab enabling automatic research and development of new capabilities and platforms by AI agents. • Build and maintain agent harnesses — the per-agent adapters that hook into Claude Code, Cursor, Copilot CLI, Codex, and future agents to route network and shell commands through the TokenShift proxy. • Develop and extend compression rules and strategies for new command types (git, build tools, infra CLIs, search, and more), ensuring token reduction never comes at the cost of semantic accuracy. • Maintain correctness and resilience of the proxy layer — compression must be reversible on demand, hooks must never block a developer's command, and failures must be silent and transparent. • Collaborate with the research team to translate newly supported agent architectures into production-grade harnesses. What We're Looking For Must-have • Solid understanding of Windows and Unix fundamentals: process model, shell execution, stdin/stdout/stderr, file permissions, and IPC. • Deep familiarity with MDM deployment patterns (Jamf, Intune, JumpCloud, Ansible). • Strong proficiency in Go — the TokenShift CLI is written in Go, and this is where the core work happens. • Experience building or maintaining CLI tools in production environments. • Attention to correctness and edge cases — you think about what happens when things go wrong before they do. • Ability to work across platforms (macOS and Linux) and understand their differences at the system level. Nice to have • TypeScript experience. • Hands-on experience with AI coding agents (Cursor, Claude Code, Copilot CLI, Codex) as a user or developer. • Experience with semantic compression, summarization, or output parsing. Our Tech Stack Go, TypeScript, Cloudflare, Snowflake Why PointFive • Founders with a track record Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category. • Category-defining product DeepWaste detection and agentic remediation with clear, measurable ROI for both engineering and finance teams. • Early-stage leverage Your work directly shapes the product, the culture, and the go-to-market playbook. • You'll build the infrastructure layer for AI developer tooling The part that actually runs on every developer's machine, quietly making every agent session cheaper and more visible.

We're looking for a Software Engineer to join our team and take ownership of building, maintaining, and shipping Echo's CVE-free container images, libraries, and Helm charts at scale. Responsibilities: • Build and maintain vulnerability-free container images, libraries, and Helm charts, working at the intersection of Linux systems, package management, and security, • Own the full artifact lifecycle - sourcing, patching, validating, and releasing new versions across images, libraries, and Helm charts • Clean CVEs end-to-end: scan, triage, patch, and validate fixes across our artifact pipelines • Ramp up on AI-assisted workflows and our current tooling to work efficiently at scale Requirements: • 4+ years of experience developing within engineering teams • Strong Linux background • Familiarity with Docker or other container runtimes • Hands-on low-level experience with Go, C, and/or C++ • Proficient with Git and collaborative development workflows • Excellent communication skills and proven ability to work effectively in cross-functional teams

We're hiring a staff software engineer to build and own the systems that run Anyray's optimizer on real enterprise traffic. This is production-grade work on the hot path of every LLM request. The role Anyray is a self-hosted, pre-model middleware that optimizes the cost and performance of every LLM request. That optimization lives across every layer of a request: input, context, tool output, files, dev commands, and caching. It's a hands-on engineering role. You own real production systems end to end, and you're on the hook for their latency, reliability, and correctness under real customer load. Why this role LLM optimization is a young field with no settled playbook, so the optimizations you invent here are genuinely new, and they ship into production rather than a paper. And they matter: real enterprises run enormous volumes of LLM traffic and feel every wasted token, so the work you do lands on live customer requests and solves a problem they actually have. It's about as close to the frontier, and as close to the product, as engineering gets. What you'll do Invent and ship optimizations. Design new strategies across every layer of a request: prompt and context compression, tool pruning, file and dev-command trimming, semantic caching, cache-prefix stabilization. Then take them all the way to the hot path. Each one has to cut tokens on real traffic without degrading output. Prove every win. Build the evals and the token/quality instrumentation that separate a genuine saving from a plausible-sounding one. An optimization only ships when the numbers back it. Live in the caching trade-offs. Provider prompt caches only pay off on byte-stable prefixes, and a naive rewrite can cost more than it saves. A lot of the job is knowing exactly when an optimization actually wins: deterministic transforms, per-session decision pins, semantic dedup. Build and own the gateway that runs them. The real-time proxy that carries production LLM traffic, with streaming, retries and backpressure, executing every optimization on the live request path. Keep it fast and deploy anywhere. Defend a tight latency budget on the hot path, and package the whole thing so it installs cleanly into any customer's cloud, whether that's AWS, GCP, Azure, containers or Kubernetes, and upgrades without drama. Own systems end to end. From first commit to code serving live customer traffic, plus the spend-visibility and governance product built on top, with a direct line to the founders. What we're looking for You've built and run backend or infrastructure systems in production, owned them end to end, and care about latency, correctness, and observability. You're comfortable in the request hot path. Concurrency, streaming, tail latency and failure modes are things you reason about by default. You've shipped to cloud environments and can build something that installs cleanly in someone else's. You're strong in TypeScript/Node, which is our stack, or fluent enough in a systems language that picking it up is quick. You already build AI-native. Coding agents and LLM tooling are part of how you ship. You understand, or want to go deep on, LLMs, tokens, and how model APIs actually behave. Nice to have You've built proxies, gateways, or high-throughput streaming and networking systems. Experience with LLM inference, model APIs, or ML infrastructure. You've packaged software for customer self-hosting, with Helm, operators or air-gapped installs. You've been early at a company before and liked it. How to apply If this sounds like you, email [email protected]. Tell us about a system you built and owned end to end, or a nasty production problem you tracked down and fixed.

We're hiring a software engineer to own Anyray Connect. It runs on every developer's laptop at our customers and puts their AI coding tools on our gateway. One product, one owner. The role Anyray cuts the cost of every LLM request a company makes. The gateway is the server side. Connect is the client side, and it's the part developers actually see. Connect is a Node CLI and a signed tray app for macOS, Windows and Linux. It points a developer's AI coding tools at our gateway by writing each vendor's own config, signs them in, keeps their credentials fresh, and repairs itself when something drifts. For IT, it ships the artifacts they need to roll it out across a fleet. It's real, it's shipping, and customers are using it. You'd own it. What makes it hard You can't SSH into a developer's laptop. You can't undo their OS update. The apps you write into ship new builds without warning you. Every install is someone's work machine. A bad write doesn't just fail a deploy, it stops someone from working. Connect also does a lot of what malware does. It installs persistence, reads the login Keychain, writes into other apps' config, survives their updates, and heals when something removes it. The difference is that all of it is signed, visible, reversible, and agreed to up front. This is user space rather than kernel, and TypeScript rather than C++. It's still system-level work, and it isn't an IT or helpdesk job. What you'll do Own Connect. The CLI, the tray app, updates, docs, and what ships next. Write into other apps' config without breaking them. Back up what you touch, roll back cleanly, and never leave someone's setup worse than you found it. Keep up with vendors. Config shapes change under us. Check before writing, and fall back to a manual path instead of guessing. Stay clear of antivirus. Persistence and credential helpers are exactly what EDR watches for. Measure what actually trips a scanner instead of assuming. Ship for managed fleets. Profiles, policy, credential helpers, and silent rollout. That's what an admin needs to push this to a few hundred laptops at once. Make it debuggable from far away. Health checks, repair commands, and diagnostics that carry metadata only. Never prompts, never keys. What you need Strong TypeScript, and a few years of shipping code you still owned afterwards. You've shipped client-side software onto machines you couldn't reach: a desktop app, CLI, agent, installer, or IDE extension. You're careful with other people's state: atomic writes, idempotency, and a clean rollback when something fails halfway. You'll pick up the Windows bug, not just the Mac one. You write tests, and you can debug from logs and a screenshot with no shell on the box. You already build with AI coding tools. Nice to have MDM experience with Jamf, Intune, Group Policy, or configuration profiles. You've reverse-engineered a closed app's config to find a safe place to write. You've shipped a signed desktop app, with notarization, Authenticode, Tauri or Electron. You've got software cleared through Defender, SmartScreen, or Gatekeeper. Packaging and self-update experience. Rust. Handy for the tray, but we'll teach you. How to apply Apply here or email [email protected]. Tell us about something you shipped onto machines you didn't control, and what broke.

Description Attackers don't hack- they log in. Almost every major breach starts with a credential that should never have existed. Venice ends standing access for every person, service account, and AI agent across cloud, SaaS, and on-prem. Our agentless platform deploys in minutes, swapping stale access workflows for real-time, just-in-time enforcement. But we're not only building this to stop breaches and replace clunky, legacy PAM setups. We're building it so teams can hand real privileges to AI agents and move faster, not just apply controls that slow everything down. Every company is about to put agents inside its most sensitive systems, and we're making it secure and possible for those agents to be a true part of the workforce. Backed by Index Ventures and IVP, trusted by Fortune 200 security teams, and deployed in some of the most complex enterprise environments in the world. The rules for how AI gets access are being written right now. Come write them with us. What you will do: • Design and build the backend services at the core of the Venice platform - the systems that run our identity security operations in production. • Deliver features end-to-end: from technical design and data modeling through implementation, testing, and production rollout. • Work with a cloud-native microservices architecture - services communicating over message brokers, backed by SQL and NoSQL databases, running on managed cloud infrastructure. • Take part in shaping how the platform evolves - you'll have real autonomy to propose technical solutions, influence architecture decisions, and see your work reach production quickly. Requirements • 4+ years of backend / full stack development experience, preferably in SaaS, cyber security, or cloud-native environments. • Hands-on experience with microservices, message brokers, and both SQL & NoSQL databases. • Self-starter, independent, always seeks to understand the big picture, with the ability to own projects and drive them to completion. • Strong communication skills and fluent English. • Knowledge of cloud infrastructure (AWS, GCP, Azure) and identity management solutions is a plus. Why join us? The Timing The timing couldn't be better. Legacy privileged access management is dead, the market leader was just absorbed, and there's a narrow window to define what replaces it. We're in that window right now. The Culture Our team is small with exceptional people who are actually fun to work with and the distance between your idea and production is short. Plus, we take our coffee seriously. If this sounds like your kind of challenge, apply- even if you don't tick every box.

Zafran's ServiceNow application is on the ServiceNow Store and is how a large part of our enterprise customer base experiences our product day to day. It has been built and maintained by an external partner; we are bringing it in-house. You would be the first ServiceNow engineer at Zafran and the owner of that application end to end — architecture, roadmap, code, certification, releases, and customer escalations. This is a product engineering role, not a platform administration or consulting role. You are not implementing ServiceNow for internal users; you are shipping a certified commercial application that installs into instances you do not control, at organizations whose configurations and data volumes you cannot predict. The work is substantially independent, with real ownership over technical direction, and sits close to both our product team and our customers' security operations teams About Zafran: Our Mission: To stop the exploitation of vulnerabilities, everywhere. What makes us different: Zafran de-risks 90% of critical vulnerabilities overnight across your hybrid environment and utilizes Agentic Capabilities and your existing security tools to rapidly mitigate and remediate the 10% most likely to be exploited. Who's behind us: Zafran is backed by Menlo Ventures, Sequoia Capital, Cyberstarts, and a deep belief that cybersecurity should move as fast as attackers do. We're one of the fastest-growing companies in the industry, scaling to meet demand from the world's most advanced, security-obsessed organizations. We're serious about our mission- so expect work that matters, teammates who challenge and inspire you, and plenty of fun along the way! What you'll own • The integration between Zafran's platform and ServiceNow, end to end: data ingestion, correlation of findings to configuration items, remediation workflows, and bidirectional sync • Architecture, development, and maintenance of the backend services behind the integration, built for scale: millions of records, partial failures, rate limits, and retries • Architecture, development, and maintenance of Zafran's scoped ServiceNow application • New capabilities on top of ServiceNow's security and CMDB modules, from design through customer POCs to release • Technical escalations from customers' ServiceNow administrators: joining calls, debugging in their environments, and turning what you find into fixes and product improvements • The technical side of pre-sales conversations when a prospect's ServiceNow team has hard questions • The ServiceNow Store certification and release cycle, with the support of the team • Versioning and upgrade paths: shipping new versions without breaking existing customers, including migration logic where the data model changes • Automated testing, source control, and release engineering for the application • Close collaboration with external development partners where relevant • Growing Remediation Workflows beyond ServiceNow as the role evolves Required • 5+ years of hands-on experience in backend development in a product R&D team, with languages such as Golang, Python, Java, JavaScript, or C/C++ • Hands-on development experience on ServiceNow: server-side scripting, integrations, scoped applications • Experience building and running production systems at scale: services, data pipelines, and integrations with third-party systems • Defensive engineering instincts for code that runs in environments you cannot inspect - unknown customizations, unexpected data volumes, partial failures, rate limits, and retries • The ability to quickly learn and adapt to new technologies as needed • Strong problem-solving, sense of ownership and communication skills, with the ability to work well in a team environment • 5+ years of experience, in at least 2 positions • Mentality of a team player, with a capability to see the big picture, and use it to focus on critical detail • Capability and will to take responsibility and have a deep influence • Clear written and verbal communication with customers' technical teams Strongly preferred • Experience shipping an application to the ServiceNow Store and taking it through certification • Hands-on experience with ServiceNow Vulnerability Response or Security Operations - particularly third-party integrations built on the VR integration framework • CMDB knowledge, including CI identification and reconciliation (IRE) • IntegrationHub, Scripted REST APIs, Flow Designer • Experience with source control and automated testing (ATF) for ServiceNow applications • Golang • Certified Application Developer (CAD) Nice to have • Security background more broadly - vulnerability management, exposure management, or SOC workflows • Service Graph Connectors • MID Server architecture, especially for customers with on-premises or network-restricted deployments • Experience with domain-separated instances as a deployment target (MSPs and large enterprises may install our app; it needs to behave correctly there)

Zafran is looking for a talented Engineer to join one of the most strategic and impactful teams in the company. Our Integration team is the backbone of the organization, connecting all security ecosystems into one intelligent platform. The team plays a critical role in enabling everything we do, and its impact is felt across the entire business. In this role, you will build and manage integrations with enterprise environments, security platforms, cloud infrastructures, and third-party systems. You will work on complex technical challenges involving APIs, data flows, automation, scalability, and system connectivity. This is a highly cross-functional position with direct collaboration across R&D, Product, Customer Success, and Solution Engineering teams About Zafran: Our Mission: To stop the exploitation of vulnerabilities, everywhere. What makes us different: Zafran de-risks 90% of critical vulnerabilities overnight across your hybrid environment and utilizes Agentic Capabilities and your existing security tools to rapidly mitigate and remediate the 10% most likely to be exploited. ​​Who’s behind us: Zafran is backed by Menlo Ventures, Sequoia Capital, Cyberstarts, and a deep belief that cybersecurity should move as fast as attackers do. We’re one of the fastest-growing companies in the industry, scaling to meet demand from the world’s most advanced, security-obsessed organizations. We’re serious about our mission- so expect work that matters, teammates who challenge and inspire you, and plenty of fun along the way! What you will do • Design, implement, and maintain integrations between multiple products and systems via APIs. • Solve complex data and scalability challenges, ensuring the platform efficiently handles large volumes of data. • Collaborate with cross-functional teams to understand requirements and deliver integration solutions that meet business needs. • Define best practices for data handling, API usage, and integration workflows. • Ensure the integrity, reliability, and performance of integrated systems. Requirements • 3+ years of professional software development experience, with strong fundamentals in backend development. • Hands-on experience working with APIs - authentication flows, pagination, rate limiting, and error handling. • Strong code comprehension and system-level thinking - able to trace data end-to-end across an integration, from API response parsing through failure handling and edge case reasoning. • Familiarity with cloud environments (AWS, GCP, or Azure) and experience working with queuing or event-driven patterns (e.g. SQS, Kafka, or similar). • Proactive problem-solver who identifies gaps and drives improvements in infrastructure, tooling, and processes. • Strong problem-solving skills and the ability to work in a fast-moving environment. • Experience working with multiple data sources, schemas, and storage technologies; familiarity with data transformation patterns is a plus. • Prior experience as a Data Analyst, Data Engineer, or similar role is a plus.

Building a New Foundation for Cloud Security The best security control doesn't detect a bad action. It removes the ability to perform it in the first place. That's what Act does. We're an action-centric cloud security company focused on reducing cloud risk by removing excessive and unintended access across cloud environments. As AI is making attacks faster and less predictable, patching and detection can only go so far. So we make sure every identity in the cloud, human or machine, has only the access it actually needs, without turning security into an operational burden. We're early-stage, well-funded, and built by repeat security operators who previously created Medigate (acquired by Claroty). We're building a team of exceptional people who take ownership from idea to outcome, with the autonomy to make decisions and drive their work forward. We care deeply about the customer, move fast, and enjoy building together. If you want to build something that matters from the ground up and see your work go live within days, this is the place. The role We are looking for a Software Engineer, Data Platform to join our team and take ownership of the data infrastructure that powers our cloud security platform. This role offers the opportunity to work on cutting-edge technology and make a significant impact in the field of cybersecurity. What you’ll do • Design and build backend systems that process complex cloud infrastructure data at scale • Own the data layer end-to-end: storage architecture, partitioning strategies, query optimization, and incremental load patterns • Build and maintain ETL/ELT pipelines that deliver clean, modeled data to product features reliably and fast • Design ingestion pipelines that normalize data from AWS, Azure, and GCP into a consistent internal model — so adding a new cloud provider doesn't mean rebuilding the integration layer • Work closely with Product and Research to turn security insights into real, usable capabilities • Ensure data completeness through backfill management, historical data loading, and accurate aggregation layers • Leverage AI tools as part of your daily workflow — we build with AI, not just for AI • Improve our codebase, tooling, and engineering practices as we grow What you’ll bring • 5+ years of hands-on software development experience, with significant time on data-intensive systems • Strong backend skills (Node.js/TypeScript/Python/Golang preferred) • Proven experience building data pipelines, ETLs, and data models in production at scale • Experience working with cloud platforms (AWS, Azure, or GCP) — ideally at the API and data ingestion level • Familiarity with cloud data platforms such as Redshift, BigQuery, or Snowflake • Solid understanding of system design, data structures, and performance tradeoffs • Experience working alongside or embedded with data teams - you understand how data engineers think and what they need • Strong sense of ownership, clear communication, and ability to move fast without cutting corners Our culture We live by three values: Win, Learn, Have Fun. We play to win - we set ambitious goals and hold ourselves to high standards. We learn constantly - from customers, from each other, and from our mistakes. And we have fun doing it: we believe great work happens when people enjoy working together.

Five Sigma is a fast-growing start up reinventing the way insurance claims are being handled. We are insurance and tech veterans that believe that efficiency is the name of the game. We build the most advanced AI-based data-oriented claims platform in the industry, allowing insurance companies to provide their customers the trust and experience they deserve. Five Sigma has dozens of customers around the globe and leads the vertical insurance AI domain. About the Role: We are looking for a passionate and talented Senior Software Engineer with passion to deliver a huge impact on our users day to day. This is a unique opportunity to join our fast growing R&D team where every person has a key influence on the product. In this role, you will be responsible for the development, integration, and deployment of our AI insurance product, which leverages the newest LLMs technologies and automation. You will play a critical role in shaping our technical direction, fostering a collaborative and high-performance culture, and ensuring the successful delivery of products that will transform the insurance industry. Responsibilities: Design, develop, and maintain our scalable software applications. Shape our AI capabilities, leverage LLM technologies and ensure creating best practices around them. Lead the development of new features and enhancements while ensuring best coding practices. Architect and implement robust, secure, and maintainable software solutions. Collaborate with cross-functional teams, including product managers and designers to deliver high-quality software. Conduct code reviews to other team members and ensure adherence to coding standards. Evaluate and recommend new technologies, frameworks, and best practices. Work closely with our product team to translate business requirements into technical solutions. Support and maintain existing applications, resolving critical bugs and issues as needed. Lead and contribute to agile development processes, including sprint planning and retrospectives. Requirements At least 5 years of experience in Backend and/or Full-Stack development. Experience in at least one of our programming languages - python for BE and React, Javascript for FE. Deep knowledge in SaaS software architecture design. Strong technical knowledge and understanding of product building end to end. Experience with building Cloud architecture (Familiarity with GCP cloud platform is a plus) Deep knowledge in AI product architecture and development is a plus. Insurance or financial industry familiarity is a plus Being able to see the big picture, zoom out, prioritize, estimate well, mitigate risks and have a sharp eye for details. Understanding of real-life developer experience aspects. Passionate about constantly balancing between code quality, fast delivery and business value. Motivated, energetic and ambitious team player. Excellent communications skills.

Why Join Sensi.AI Sensi is redefining how care organizations support aging at home by using it's Care Intelligence platform to translate everyday signals into meaningful clinical and operational outcomes. Sensi's platform is deployed across 50 states in leading home-care providers, supporting tens of thousands of seniors aging safely at home. By transforming real-world activity in the home into actionable insights, Sensi enables care teams to detect changes in condition earlier, intervene proactively, and deliver higher-quality care at scale. This is a hybrid role based in Tel-Aviv, Israel About the role We're looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering Sensi's AI-native platform. This is an AI-native engineering role - AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers at Sensi use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving. You'll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production. Key Responsibilities AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow. AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems. End-to-End Ownership - Own features from architecture and development through deployment and monitoring. Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS. Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team. Requirements 8+ years of professional software engineering experience. Strong backend development experience with Node.js, Python, or similar technologies. Proven experience building and operating scalable SaaS platforms. Experience using AI coding tools (Claude, Cursor, Copilot) to design, prototype, and ship features, leveraging AI-native workflows to accelerate development. Hands-on experience with microservices architecture, APIs, and AWS cloud infrastructure. Experience building or integrating AI/LLM-powered systems or AI-driven product features. Familiarity with modern development practices including CI/CD pipelines, containerized environments, and cloud-native deployment. Strong problem-solving skills, technical judgment, and clear communication. Sensi celebrates diversity and uphold equal opportunity in our hiring practices. Our approach fosters an inclusive environment that sparks innovation and reflects the vibrant communities we serve. All persons shall have the opportunity to be considered for employment without regard to any characteristic protected by applicable federal, state, or local laws and ordinances.

INCRMNTAL is searching for the best Senior Software Engineer out there! We are a 4 years old startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" INCRMNTAL launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. INCRMNTAL's innovative model, which has sparked interest within the academic community, has been acknowledged by the Israel Innovation Authority with a grant—a rare achievement in the marketing field. Role Description: As a Senior Software Engineer your role will be to: Play a key role in the design and architecture of cutting-edge, innovative data systems. Develop and maintain a multi-tenant environment for our advanced measurement solutions. Build and manage cloud-based, distributed computing environments to support scalable, high-performance operations. Design and implement robust ETL workflows, integrating multiple data sources for cleaning, transformation, aggregation, and querying. Troubleshoot and resolve complex issues related to data integration, storage, and retrieval. Architect and build big data solutions capable of managing and automating the processing of tens of terabytes. Optimize database performance and streamline query execution in large-scale environments. Collaborate closely with Data Scientists to align technical solutions with data-driven objectives. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we're not interested in doing. Key Requirements: 10+ years of professional experience in backend software development (Python preferred) with a strong focus on data-related projects. Proven experience working in microservices environments and cloud platforms. Expertise in distributed applications and systems. Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. (Pandas, NumPy, Dask, Argo). Deep understanding of relational databases, data warehouses, advanced knowledge of SQL for crafting efficient queries. Hands-on experience in bringing applications to production and maintaining production environments. Strong problem-solving skills, with a passion for troubleshooting and optimizing complex systems. Familiarity with containerization technologies like Docker and Kubernetes. Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams. Comfort with experimenting and adopting new technologies to stay ahead of the curve. Familiarity with DevOps practices and tools to support the full development lifecycle. Ability to multitask, prioritize, and manage time effectively in a fast-paced environment. Some of the technologies we use: Python, Argo, Kubernetes, Spark, etc… Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. You will be granted share options as an early employee. We are passionate, solution-oriented people who are accountable to our actions. At INCRMNTAL, you should be ready to make decisions yourself. We say: "Don't ask for permission –beg for forgiveness ☺". We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.

Unipaas is the AI-native payments platform built for vertical software. We help platforms and marketplaces turn payments from a back-office utility into a growth lever. Our unified, fully managed service lets them deliver branded payment experiences without redirects, multiple providers, or long integration timelines. Founded in 2020 by payments-industry veterans, we serve customers across the UK, Europe, and the US in education, healthcare, and field services. Our R&D is in Tel Aviv; commercial is in London. Engineering at Unipaas We move real money for merchants whose businesses depend on us, and in payments the cost of getting it wrong is real: clean architecture, deep systems thinking, attention to detail, and code that holds up in production. Our engineers are generalists who own the full lifecycle with high agency and end-to-end ownership. Agents are standard equipment here, not experiments: Claude Code, Cursor, Codex, and what comes next. The rest is public: our engineering principles, and how we hire. About the Role We're hiring a Senior Software Engineer to join the R&D team building Unipaas' core platform. You'll own product development end-to-end, on the systems that authorize, settle, and reconcile every transaction we process. This is an individual contributor role with room to grow into engineering leadership: we're looking for the engineer who will set technical direction in their domain and bring others up with them. What You'll Do Architect and evolve a distributed, event-driven platform spanning multiple services and frontend surfaces, in a multi-vendor, multi-method, regulated payments context. Own features from ambiguous problem through production and ongoing monitoring. Use agents day to day (parallel work, automated toil, tighter feedback loops) and raise the bar for how the rest of the team uses them. Contribute to the agent-driven flows that run in front of customers, not just behind the engineering team. Engage on architectural decisions and shape engineering practices in your area. What We're Looking For 5+ years building production systems, with strong systems thinking and architectural judgment under uncertainty. Deep proficiency in at least one modern language; comfort with TypeScript / Node.js (our stack) or the ability to ramp into it fast. We care more about how you think than which language you've shipped most. Solid grounding in distributed systems at production scale on a major cloud provider (we run on AWS): event-driven architectures, container orchestration, infrastructure as code, and the operational craft of running services in production (observability, debugging, incident response). Fluency with agentic engineering tools (Claude Code, Cursor, Codex, or equivalents) as part of your day-to-day workflow. Not something you've tried, something you ship with. High agency and a track record of technical influence: setting direction and raising the bar for engineers around you. Nice to Have Experience shipping AI or agentic features into production product surfaces. Background in fintech, payments, or marketplace platforms. Prior team-lead or tech-lead experience. Why Join Competitive compensation and serious professional development. Real ownership in an early-stage company where what you ship hits production fast and matters to customers.

Lumana helps organizations turn video into action. Our AI video security platform helps customers improve safety, strengthen security, and respond faster when it matters most. Founded in 2021 and backed by leading Silicon Valley investors, we’re growing quickly. Here, you’ll think big, move fast, and own work that has a visible impact. Role Description The Software Engineer - Cloud will join a foundational and growing cloud team with meaningful ownership over critical platform areas. You will help build the software systems behind a hybrid edge-cloud architecture powering real-time video streaming, recording, and AI processing at global scale. This role sits within the team led by the Head of Cloud, which owns a broad software domain across cloud, mobile, web applications, and related clients. You’ll work on a distributed backend ecosystem that connects edge devices with cloud services and customer-facing applications, with a strong focus on performance, reliability, and low-latency user experiences. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable contributing to systems that support customers worldwide. You will have a chance to work alongside teammates across the U.S., Israel, and Europe, contributing to a platform with broad impact and increasing customer demand. Location & Travel • Hybrid Schedule: • Two days a week working from home. • Ramat Gan office, located just outside Tel Aviv and close to the train station. • Includes biweekly travel to our Caesarea office. Responsibilities • Build and evolve the core cloud platform that supports real-time video streaming, recording, and AI processing across a global customer base. • Design, develop, and maintain distributed backend services that connect edge infrastructure with cloud systems and customer-facing products. • Develop and support data pipelines for both real-time and batch processing of video and AI-related workloads. • Work on systems responsible for ingestion, storage, retrieval, and secure handling of large-scale video data in a multi-tenant environment. • Architecting multi-tenant, highly available systems across regions in a cloud environment • Collaborate closely with Edge engineers and adjacent teams to enable seamless integration across the broader platform. • Use cloud provider services and SDKs as part of day-to-day development, including work across core cloud capabilities rather than a single isolated service. • Contribute to backend development in JavaScript/Node.js and, depending on background and team fit, potentially support growing work in Go as part of the cloud stack. • Participating in code reviews, debugging, and optimizing performance across distributed systems • Help support a production environment where reliability matters, including situations that may require responsiveness outside standard hours when cloud issues have broad impact. • Our infrastructure is powered by Google Cloud. • Other duties may be assigned. We don’t do cookie-cutter. If you’ve got the grit, the drive, and the track record—especially in security or AI—we want to hear from you. Even if you don’t check every box, let’s talk. Qualifications Must Have: • 5+ years of experience in software engineering, with a focus on backend or cloud systems • A degree from a university in Computer Science, Computer Engineering, Electrical Engineering with a computing specialization, or a closely related field. • Requires hands-on experience with JavaScript / Node.js for backend systems. • Experience building backend services in cloud environments and working with cloud provider services and SDKs; GCP experience is a strong plus. • Strong understanding of distributed systems, concurrency, and scalability • Experience building APIs and microservices architectures • Familiarity with real-time systems or event-driven architectures • Excellent problem-solving and communication skills • Ability to work in a hybrid model in Israel, including at least 3 days per week in the office and collaboration across the team’s office rhythm, including periodic work from Caesarea. • Availability to contribute in an environment that may occasionally require remote support outside regular hours, including weekends or holidays when needed. Nice to Have: • Experience with video streaming pipelines or media infrastructure in the cloud • Preference for experience with streaming/data systems (e.g., Kafka, Pub/Sub, MQTT) • Knowledge of Kubernetes and orchestration systems • Solid understanding of Docker and containerization • Exposure to AI/ML pipelines or data platforms • Background in security best practices (IAM, encryption, secure APIs, zero trust) • NestJs or GO (Backend) ✍️ Lumana Hiring Philosophy We spend a lot of time building best-in-class products since we believe a highly differentiated product is easier to sell and support. We aim to provide both product & industry expertise whenever we interact with prospects and customers. We strongly believe that small teams with very talented people (and the right work environment) deliver much better performance than teams with large headcount. We hire and compensate accordingly. We value a strong sense of ownership, principled thinking over experience, and thoughtful communication. ✨ What We Offer We believe great talent deserves great support. Here’s how we invest in you: • Competitive Pay: A strong base salary that reflects your experience, impact, and market value • Equity & Upside: Own a piece of what you're building with meaningful equity in a fast-growing startup • Tools that Work for You: Get access to top-tier tech and a fully equipped workspace—both in-office and at home • Hybrid Flexibility: Enjoy a balanced schedule with two remote workdays each week after ramp-up • Product Influence: Your voice matters—your hands-on feedback directly shapes our product roadmap For Israel-Based Employees • Monthly meal allowance provided through 10bis • Travel reimbursement in accordance with Israeli law • Generous paid vacation, including carryover flexibility • Paid sick leave from day one • Keren Hishtalmut (study fund) with employer contributions • Company-provided laptop and a home-office setup allowance for new employees Equal Opportunity: Lumana considers applicants without regard to protected characteristics, in accordance with applicable law. Interview Policy: Please answer independently during interviews. Do not use real-time AI assistance, transcription, or answer prompts without prior authorization. Unauthorized use may disqualify you. Recruitment Fraud: Official hiring emails come from @lumana.ai. We never request payment or banking information during hiring. Agencies: We do not accept unsolicited agency resumes or pay fees without a signed agreement.

Lumana helps organizations turn video into action. Our AI video security platform helps customers improve safety, strengthen security, and respond faster when it matters most. Founded in 2021 and backed by leading Silicon Valley investors, we’re growing quickly. Here, you’ll think big, move fast, and own work that has a visible impact. Role Description The Senior Software Engineer, Edge Lumana's growing engineering organization and help build the software that runs on the core device layer behind our platform. This role sits within a small, highly impactful team responsible for a hybrid edge system that powers core functionality across video, security, networking, storage, and AI deployment in production environments. You'll work on a resource-conscious, distributed device architecture that spans multiple hardware targets and brings together technologies more commonly seen across both embedded and cloud systems. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable building reliable software for systems customers depend on every day. Location & Travel • Hybrid / Onsite Schedule: Based in Caesarea or Ramat Gan with 2 days a week working from home. Responsibilities • Contributing to the development of our core edge platform, designed to run across diverse hardware environments as part of a hybrid edge-cloud architecture • Developing and integrating video management capabilities, including streaming, recording, and real-time AI processing • Designing and optimizing systems for low-latency, high-performance workloads at the edge • Building secure and efficient communication pipelines between edge devices and cloud systems • Working closely with AI/ML engineers to deploy and optimize models on-device • Participating in code reviews, debugging, and performance tuning across the stack • Collaborating with a talented team of engineers, AI experts, and leadership in a fast-moving environment We don’t do cookie-cutter. If you don’t check every box but you’ve got the grit, the drive, and the track record—especially in security or AI—we encourage you to apply. Requirements • 5+ years of experience in software engineering, with a focus on systems or performance-critical applications • Strong experience with modern programming languages such as Go, Rust, or TypeScript • Proven experience with multithreaded and concurrent programming (critical for this role) • Solid understanding of Docker and containerization • Experience working with embedded systems or edge computing environments • Strong understanding of networking and distributed systems fundamentals • Experience building or working with real-time systems Nice to Have • Experience with video streaming or video pipeline development • Familiarity with storage systems and data management at the edge • Experience integrating with cloud services (e.g., AWS S3, GCP, MQTT, Kafka) • Exposure to deploying or optimizing AI/ML models on edge devices • Background in security concepts (encryption, secure communication, zero trust architectures) • Experience with hardware-aware optimization (CPU/GPU/accelerators) ✍️ Lumana Hiring Philosophy We spend a lot of time building best-in-class products since we believe a highly differentiated product is easier to sell and support. We aim to provide both product & industry expertise whenever we interact with prospects and customers. We strongly believe that small teams with very talented people (and the right work environment) deliver much better performance than teams with large headcount. We hire and compensate accordingly. We value a strong sense of ownership, principled thinking over experience, and thoughtful communication. Our Interview Process We keep it focused and respectful of your time—our typical process includes: • A 30-minute conversation with our Talent Team to learn more about you and share what we're building • A 45-minute interview with our CTO to dive into your background and experience • At-Home Assignment (3 hour) • A 90-minute technical session in office with our Team to dive into your assignment, systems thinking, and coding familiarity • A 60-minute conversation with our CTO to dive into your assignment Curious who you’d be working with? Meet the Team → ✨ What We Offer We believe great talent deserves great support. Here’s how we invest in you: • Competitive Pay: A strong base salary that reflects your experience, impact, and market value • Equity & Upside: Own a piece of what you're building with meaningful equity in a fast-growing startup • Tools that Work for You: Get access to top-tier tech and a fully equipped workspace—both in-office and at home • Hybrid Flexibility: Enjoy a balanced schedule with two remote workdays each week after ramp-up • Product Influence: Your voice matters—your hands-on feedback directly shapes our product roadmap For Israel-Based Employees • Monthly meal allowance provided through 10bis • Travel reimbursement in accordance with Israeli law • Generous paid vacation, including carryover flexibility • Paid sick leave from day one • Keren Hishtalmut (study fund) with employer contributions • Company-provided laptop and a home-office setup allowance for new employees Equal Opportunity: Lumana considers applicants without regard to protected characteristics, in accordance with applicable law. Interview Policy: Please answer independently during interviews. Do not use real-time AI assistance, transcription, or answer prompts without prior authorization. Unauthorized use may disqualify you. Recruitment Fraud: Official hiring emails come from @lumana.ai. We never request payment or banking information during hiring. Agencies: We do not accept unsolicited agency resumes or pay fees without a signed agreement.

This role is located in Israel. You will be required to interview in person. About SailPoint SailPoint is defining the next era of identity security. Our unified, AI-powered platform seamlessly secures both the Human Fabric of your workforce and the Agentic Fabric of AI and non-human identities, completely eliminating organizational blind spots. Built on core principles like zero-standing privilege and contextualized risk, our platform transforms identity from a vulnerability into a strategic business advantage. Today, we are trusted by some of the largest, most complex organizations in the world to deliver intelligent, autonomous identity security at scale. About the Role SailPoint is seeking a Backend Software Engineer to help build a new cloud-based SaaS identity analytics product. In this role, you will design, develop, and maintain robust, scalable, event-driven microservices hosted in AWS. You will have the unique opportunity to build new capabilities from the ground up while leveraging the resources, scale, and established customer base of an industry leader. About the Team Our Engineering team is full of results-driven individuals who are constantly seeking to innovate and make a measurable impact. At SailPoint, engineering is where high-quality technical craftsmanship meets individual ownership. The team collaborates closely in an agile environment, building high-throughput, cloud-native services that secure millions of identities worldwide. Roadmap for Success • 30 Days: Complete SailPoint onboarding, set up your local development environment, familiarize yourself with our cloud architecture and coding standards, and successfully deliver your first minor code change or bug fix to production. • 60 Days: Gain a deeper understanding of the identity analytics product architecture, participate actively in design and architecture discussions, conduct peer code reviews, and deliver your first feature-level contribution. • 90 Days: Independently design, implement, test, and deploy Java-based microservices, taking full ownership of feature deliverables from requirement analysis through production monitoring. • 6 Months: Drive end-to-end technical initiatives, enhance system performance and reliability, optimize CI/CD pipelines, and mentor newer team members on best practices. • 1 Year: Act as a subject matter expert for key components of the identity analytics SaaS platform, contribute to long-term architectural strategy, and partner with product managers and cross-functional teams to deliver high-impact roadmap milestones. Requirements • Bachelors degree in related field, or equivalent professional experience • 3+ years of professional software development experience • Strong proficiency in Go • Proficient experience with object-oriented analysis, design principles, and design patterns • Experience designing, developing, and deploying RESTful APIs and microservices • Demonstrated ability to produce unit and end-to-end tests to ensure high code quality and test coverage • Excellent communication, problem-solving, and cross-functional collaboration skills AI-assisted engineering: Our engineers are expected to use AI development tools as a core part of their daily workflow, not as a novelty. We expect you to use these tools to accelerate delivery, expand your scope, and raise the quality bar, while applying strong engineering judgment to review, validate, and own everything that ships under your name. Comfort with prompting, agentic workflows, and human-in-the-loop review of AI-generated code is a baseline expectation for this role. AI related Technology: • Cursor, Claude Code • Python-based AI/ML frameworks and libraries such as scikit-learn, pandas, and numpy • Deep Learning Frameworks such as PyTorch • LLMs and Foundation Models in Bedrock, VertexAI, or similar Preferred Skills • Experience building cloud-native applications on Amazon Web Services (AWS) • Experience with continuous integration and continuous delivery (CI/CD) pipelines • Experience instrumenting applications with observability tools and metrics to monitor production performance • Experience with event-driven architectures and messaging systems SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact [email protected] or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.