Tech Lead jobs in Israel

Join the Technology Division of one of Israel's leading financial organizations and lead a software development team responsible for delivering cloud-based data platforms and AI-driven solutions supporting the organization's actuarial domain. You'll combine people leadership, hands-on technical expertise, architectural design, and close collaboration with business stakeholders to deliver scalable, business-critical solutions. What You'll Do: Lead and mentor a software development team, providing both managerial and technical leadership Design scalable system architectures and define technical solutions for complex business and data platforms Lead the modernization and migration of enterprise systems from SQL Server to Microsoft Azure Lead the development and evolution of cloud-based systems using Python, SQL, Azure, and Databricks Work closely with business stakeholders to understand requirements and translate them into scalable technical solutions Build and manage quarterly work plans, prioritize initiatives, and oversee team execution Lead complex cross-functional projects from planning through production deployment Collaborate with internal technology teams, business units, and external vendors Drive the adoption of AI-powered solutions to enhance data analysis, automation, and decision-making across actuarial processes Promote engineering best practices, continuous improvement, and the adoption of new technologies Requirements: Must Have: 3+ years of experience leading software development teams 2+ years of hands-on Python development experience, including system architecture and technical solution design Proven experience leading complex cross-functional technology projects Proven experience working closely with business stakeholders, understanding business needs, and translating them into technical solutions Strong planning, prioritization, and project management skills Good English communication skills Nice to Have: Experience with Microsoft Azure, including Azure Databricks, Data Factory, and Unity Catalog Strong SQL skills and experience working with large-scale data platforms Experience leading cloud migration or technology transformation initiatives Experience in financial services, insurance, or actuarial environments Experience leading Big Data or Data Engineering teams Bachelor's degree in Computer Science, Information Systems, or a related field

About The Position We are looking for a strong Software Team Leader/Tech Lead, to lead a team of 6-8 developers working on mission-critical operational systems. mPrest is a leading technology company developing advanced mission-critical systems for defense, HLS, and industrial sectors. This is a unique opportunity to take ownership of core operational systems, lead a talented development team, and drive modernization through web technologies and AI-driven development practices. Responsibilities Lead a team of 6-8 software developers and QA engineers. Own development activities end-to-end, including delivery, quality, technical execution, and production support. Design, develop, and maintain software solutions using C#/.NET and web/WPF technologies. Provide technical leadership, architecture input, code reviews, and troubleshooting support. Work closely with customers, product teams, system engineers, QA, and other stakeholders. Build and promote an AI-driven development pipeline, including AI-assisted coding, testing, documentation, and code review. Improve development processes, engineering standards, automation, and team efficiency. Requirements Proven experience as a Sofrware Team Leader, or senior technical lead. Strong hands-on experience with C# and .NET. Experience with WPF/.NET systems — advantage. Experience with mission-critical or operational systems — significant advantage. Strong technical leadership, ownership, and problem-solving skills. Ability to work in a dynamic environment and communicate effectively with customers and cross-functional teams. Interest or experience in AI-assisted development tools — advantage. Personal Profile Proactive, responsible, and solution-oriented. High ownership mindset and ability to drive execution independently. Strong leadership and teamwork capabilities. Comfortable working with operational pressure. Position Details Security Clearance - Advantage On-site work in Petach Tikva

Job Description Join FED Core as a hands-on technical leader shaping the development experience of engineers across Wix. You’ll set technical direction, lead complex cross-company initiatives, and personally build the infrastructure and tools that help Wix engineers develop, test, integrate, and deliver software faster. While our expertise is rooted in the frontend ecosystem, our impact spans Wix’s entire engineering organization and crosses TypeScript, Node.js, Scala, Java, and the systems connecting them. In this role, you will: • Shape the technical vision and architecture for developer infrastructure used across Wix • Identify friction and velocity killers throughout the development lifecycle, then turn them into simple, scalable solutions • Lead high-impact initiatives from early exploration and technical design through implementation, adoption, and production • Remain deeply hands-on, investigating problems, writing code, building prototypes, and improving existing systems • Create tools and workflows that connect development across repositories, services, pull requests, local environments, and production • Drive AI-native engineering practices by exploring new capabilities and turning them into practical, everyday developer experiences • Work across organizational and technological boundaries, bringing the right people together and moving complex initiatives forward • Influence engineering standards and practices through technical expertise, strong judgment, and demonstrated results • Collaborate closely with infrastructure teams, product engineering groups, and developers across Wix to understand their needs and deliver meaningful improvements • Mentor engineers and raise the technical bar without formal people-management responsibilities Qualifications • 7+ years of software engineering experience, including significant work on large-scale systems, developer infrastructure, or engineering platforms • Deep expertise in frontend engineering and its ecosystem, including TypeScript, Node.js, modern development workflows, build systems, testing, and delivery • Strong system-design and architecture skills, with the ability to connect individual developer workflows to broader platform concerns • A proven record of initiating and delivering complex technical projects with impact beyond your immediate team • A builder’s mindset—you are comfortable moving between strategy, architecture, debugging, prototyping, and production code • Experience leading through influence, building alignment, and driving execution across multiple teams • Strong product thinking and empathy for developers as users • An AI-native approach to engineering, with practical experience using and integrating AI to improve how software is built • Excellent problem-solving and communication skills, curiosity, and a proactive approach to ambiguous challenges • The ability to quickly understand a large engineering organization, find the right collaborators, and navigate dependencies effectively An Advantage • Experience building internal developer platforms, CLIs, SDKs, build tools, CI/CD systems, or local-development infrastructure • Experience working across frontend and backend stacks, particularly Scala or Java environments • Experience designing workflows spanning multiple repositories, services, and coordinated code changes • Experience driving adoption of developer tools across a large engineering organization Additional Information FED Core is a core group within Wix’s xEngineering Guild. We build and shape the development experience for engineers across Wix, with deep expertise in the frontend ecosystem. Our work goes beyond supporting a single team or technology. We create infrastructure and tools used throughout Wix engineering, lead cross-company efforts, and bring innovative ideas into developers’ day-to-day workflows. We focus on removing friction, improving developer velocity, and making it easier for engineers to take ideas from local development to production safely and efficiently. We are hands-on builders who combine deep technical expertise with a broad organizational perspective. We explore new approaches, challenge existing workflows, and turn ambitious ideas into practical capabilities that help Wix engineers do their best work.

Mongoose is a technology company built by TriEdge Investments to solve complex, high-value problems inside real businesses. We work directly with operators and executives to understand how their businesses run, identify where software and AI can make a meaningful difference, and build systems that deliver it. Our engineers take problems from discovery through production, with the opportunity to turn successful solutions into reusable capabilities across the TriEdge portfolio. As an Engineering Lead in Tel Aviv, you will help establish and grow our engineering team in Israel. You will be one of Mongoose’s senior technical leaders, combining substantial hands-on engineering with technical direction, mentorship, and hiring. You will architect systems, write production code, and work directly with business leaders to turn ambiguous problems into software people use. We are flexible on level and title for the right person. What matters is your ability to combine strong engineering judgment with ownership, pace, and the ability to make the engineers around you better. What You’ll Do • Build the Tel Aviv engineering team. Help recruit, assess, onboard, and develop engineers, and shape the technical standards and working practices of a growing organization. • Stay hands-on. Architect systems, write production code, review critical implementations, and personally lead difficult technical work. • Understand the business problem. Work with operators and executives to diagnose workflows, identify valuable opportunities, and define what a successful solution needs to achieve. • Own delivery from discovery through production. Translate loosely defined needs into a technical approach, set priorities with business and product partners, prototype and validate solutions, and ship them into live environments. • Design complete systems. Lead architecture across applications, cloud infrastructure, data, APIs, and AI, balancing delivery speed with reliability, security, and maintainability. • Build for reuse. Develop APIs, agentic workflows, and AI-enabled systems, identifying patterns and components that can serve multiple Mongoose engagements. • Raise the engineering bar. Provide design and code reviews, architectural guidance, mentorship, and hands-on debugging support so the team makes better decisions and delivers stronger software. • Own production quality. Establish observability, investigate failures, address root causes, and improve the reliability and security of the systems the team ships. About You • You are an engineer who leads by building. You enjoy ship code using AI coding tools and harnesses, designing systems, and debugging difficult problems, and want hands-on engineering to remain a substantial part of your role. • You have demonstrated technical leadership as a Staff or Principal Engineer, Tech Lead, Engineering Manager, founder, or in a comparable role. Your impact matters more than your previous title. • You have shipped and operated production software, with the technical depth to make sound architecture decisions and resolve problems across applications, infrastructure, data, and integrations. • You have helped other engineers improve through mentorship, technical direction, and thoughtful code and design reviews. • You bring strong product judgment. You work directly with customers or operators, understand the underlying business need, and explain technical tradeoffs clearly to nontechnical partners. • You are comfortable with ambiguity. You can create structure, make decisions with incomplete information, and adapt as you learn, while remaining accountable for the result. Why Mongoose • Build software that changes how real businesses operate, with direct access to the people who use it and the executives accountable for its impact. • Help shape Mongoose’s engineering presence in Tel Aviv, influencing how the team hires, builds, and works together. • Apply AI and automation to business problems across industries, including financial services and healthcare, and turn successful solutions into capabilities that can scale across the TriEdge portfolio. • Work in a culture that values clarity, speed, reuse, humility, and ownership. Location This role is based in Tel Aviv, Israel. Mongoose is building a highly collaborative engineering team in Tel Aviv, and we expect this leader to work closely and in person with the local team while partnering extensively with colleagues and business leaders in the United States. Given our global footprint, some flexibility for collaboration across U.S. and Israeli working hours will occasionally be required. Please note: We are proud to be an equal opportunity employer, and we are committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex, age, national origin, citizenship status, disability, marital status, partnership status, sexual orientation, gender identity and expression, military or veteran status, or any other characteristic protected by federal, state or local law.

One of Israel's leading investment houses is looking for a Development Team Lead to join an established development department and lead a team of developers, combining technical leadership, hands-on development, and mentoring. The team develops and maintains internal CRM-based systems for employee benefit programs and related products. This role is ideal for someone who enjoys developing people, driving technical excellence, and remaining actively involved in the code. What You'll Do: Lead a team of 3-4 developers, providing technical guidance, mentoring, and professional development. Stay hands-on with development (approximately 30%), solving complex technical challenges and supporting the team. Review technical specifications and requirements to ensure feasibility and quality before development. Conduct code reviews, maintain high coding standards, and promote best practices. Collaborate with other development teams and business stakeholders. Participate in technical interviews and the recruitment of new developers. Drive continuous improvement in team performance, development processes, and code quality. Requirements: Bachelor's degree in Computer Science, Software Engineering, or a related field. 5+ years of software development experience - Must Strong hands-on experience with C#, ASP.NET/.NET, and SQL - Must At least 1-2 years of team leadership experience, or significant technical leadership experience as a Senior Developer, including code reviews and mentoring - Must Recent hands-on coding experience, including active development within the last two years - Must Proven experience in code reviews, mentoring developers, and providing technical guidance - Must Experience working in an Agile/Scrum environment - Must Experience using AI development tools as part of daily work - Must Experience with Angular and Python - advantage Experience working with AWS - advantage Experience with Microservices architecture - advantage Experience participating in technical hiring processes - advantage

One of Israel's leading investment houses is looking for a Development Team Lead & Tech Owner to lead a new B2B platform. The role includes building an in-house development team from scratch, providing hands-on technical leadership, and taking full ownership of the product and SDLC while gradually transitioning development from an external vendor to the internal team. What You'll Do: Build the development team from scratch, including hiring, establishing processes, technical leadership, and mentoring. Lead hands-on development, including coding, code reviews, solving complex technical challenges, and making architectural decisions. Take professional ownership of the external development vendor and lead the gradual transition of knowledge and responsibility to the internal team. Build and maintain the product architecture based on Python, AWS Lambda, and React. Work closely with the CTO and Product team on the platform's strategy and development. Requirements: 7+ years of software development experience, including at least 3 years in Full Stack development - Must Significant hands-on experience with Python and React, including production development and architecture - Must 3+ years of experience leading a development team, including code reviews, architecture decisions, and mentoring - Must Experience with AWS, particularly Lambda/Serverless - Must Hands-on experience with Microservices - Must Experience working in an Agile/Scrum environment - Must Experience using AI tools as part of day-to-day development - Must B.Sc. in Computer Science, Software Engineering, or a related field - Must Independence, ownership, and a strong system-level perspective - Must Experience working with external development vendors and transitioning systems or ownership to an internal team - Advantage Familiarity with AI-based or financial systems - Advantage

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 We're looking for an exceptional, hands-on leader-engineer to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team — operating with a high degree of autonomy in an ambiguous, fast-moving environment. What You'll Do • Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset. • Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data. • Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems. • Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams. • Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation. What We're Looking For Must-have • 8+ years of experience in backend software engineering, with a proven track record designing, building, and operating large-scale cloud production systems. • Strong coding fundamentals in backend technologies such as Go, Python, Java, etc. • Experience leveraging AI coding agents (e.g., Claude Code) and implementing AI-oriented workflows to enhance team productivity and code quality. • Production-grade experience with AWS, containerization (Kubernetes/Docker), microservices, and distributed databases/data warehouses (e.g., PostgreSQL, Snowflake). • Practical experience working with large data volumes, data pipelines, or integrating AI/LLM technologies into production environments. • Demonstrated experience leading technical workflows, driving complex cross-team initiatives, or acting as a full-lifecycle domain owner. • A true independent operator who thrives in fast-paced environments and solves problems end to end. • Ability to build technical consensus, inspire peers, and drive alignment across stakeholders. Our Tech Stack Go, Python, Java, AWS, Kubernetes, Docker, PostgreSQL, 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. • Step into a leadership track on a lean, senior engineering team — set direction for architecture and mentorship from day one.

Description We are looking for a highly skilled and motivated Software Team Lead to drive the technical direction of our development team while maintaining a substantial hands-on contribution. This role involves leading the team, hiring top talent, and ensuring the successful delivery of high-quality software solutions. Responsibilities • Technical Leadership: Guide the team in designing, developing, and maintaining robust cybersecurity solutions using Golang, C#, and Python. • Hands-On Development: Write high-quality, scalable, and secure code (50% of the time). • Team Management & Growth: Hire, mentor, and grow a team of talented engineers to build innovative cybersecurity products. • Code Reviews & Best Practices: Ensure high code quality through reviews, technical mentorship, and the enforcement of best practices. • Collaboration: Work closely with product managers, security researchers, and other stakeholders to define and deliver features. • Technical Roadmap: Contribute to architectural decisions and shape the future of the company's technology stack. Requirements • 7+ years of software development experience, with expertise in at least one of the following: Golang, C# • 1-2 years of experience leading a team or mentoring developers in a fast-paced environment. • Strong problem-solving skills and ability to work in a dynamic startup environment. • Experience with secure coding practices and familiarity with cybersecurity concepts is a plus. • Ability to recruit, onboard, and develop engineering talent. • Excellent communication and leadership skills. Nice to have • Experience with cloud platforms (AWS, Azure, GCP). • Knowledge of networking and cybersecurity principles. • Familiarity with DevOps and CI/CD pipelines.

Scope: Hands-on technical lead, no direct reports — influence across Copilot & AI, Pipeline, and Experience About Miggo We're Miggo — a cybersecurity startup on a mission to stop app-layer breaches before they happen. Founded in 2023 and backed by top-tier cyber VCs, we're building the world's first Application Detection & Response (ADR) platform. Why? Because 80% of cyber attacks target the app layer, and current tools just don't cut it. Miggo brings visibility into how apps actually behave at runtime, spotting risky flows and shutting down threats in real time. We're closing the patch gap: showing security teams what's reachable, what's exploitable, and what's being attacked right now — and delivering targeted mitigations when a patch isn't ready. At Miggo, we live by four core values: • We make it customer-focused — user needs are our north star. • We make it happen — driven by execution and a can-do mindset. • We make it better — always pushing boundaries and learning fast. • We make it together — one team, thriving on collaboration and diverse perspectives. About the Role Miggo already runs agents in production. Our WAF Copilot takes a freshly disclosed CVE and turns it into a validated, provider-specific WAF rule — a state-driven agent graph that researches the vulnerability, maps the attack surface, composes the rule, then attacks its own output with an independent bypass judge and a false-positive prober before a human is ever offered a deploy. When a weakness survives, the system downgrades its own recommendation and records what it could not prove. That last part is the thesis of this role. An agent that touches production security must prove it works and declare what it couldn't prove. The security industry is about to be flooded with agentic claims nobody can verify. We intend to be the company that made verification legible — and that starts with holding our own agents to a standard we're willing to publish. We're looking for an AI Tech Lead to own that standard across three surfaces: • The platform - Today each agent flow is close to a bespoke implementation. You'll turn our hard-won patterns into shared components, conventions, and infrastructure so the next agent is a week of work rather than a quarter — with evaluation, observability, and cost control built in rather than bolted on. • Enablement - Miggo's advantage compounds only if the whole company is AI-fluent, not just R&D. You'll raise that fluency everywhere — engineering, research, product, GTM — through tooling, patterns, and teaching. • The voice - You'll publish the methodology: how we benchmark agentic security output, how we model residual risk, what we learned failing. This is a category-defining position and we want it argued in public. This is a hands-on lead role with no direct reports. Your authority comes from the quality of what you build and how clearly you explain it. What You'll Do • Define and build Miggo's agent framework — shared components, orchestration patterns, tool interfaces, and conventions that make "how do I build an agent here" a five-minute answer. • Make evaluation a gate, not an afterthought: trajectory testing, golden datasets, offline replay, and per-dimension scoring that runs in CI. Land the release benchmark so promote / hold / rollback is a number, not a vibe. • Own agent observability end to end — the execution graph, tool invocations, intermediate reasoning, latency per step, and quality drift — including the external Temporal-orchestrated flows that are hardest to introspect today. • Own the economics: provider abstraction, model routing by task complexity, small-model substitution where it holds, cost attribution per flow. Thousands of CVEs through a labeling agent is a budget line, not a detail. • Drive latency and determinism in our production agent flows — tighter loops, early stopping, deterministic state machines over prose-in-prompt orchestration. • Raise the company's AI fluency. Build the internal tooling, skills, and playbooks that let every team — not just R&D — work AI-natively, and teach the judgment for when not to. • Partner with security research, product, and engineering leadership so agent capability and product roadmap actually converge. What You'll Have • You've shipped agentic systems to production — real orchestration, tool use, structured outputs, and the failure modes that only appear at scale. Not "I've called an LLM API." • You've built the evaluation discipline, not just consumed it: trajectory tests, golden datasets, regression gates, offline replay. "It seems better" is not a metric, and you have opinions about what is. • Deep backend and distributed-systems engineering. Strong Python, and comfort with workflow orchestration (Temporal or equivalent), streaming, and cloud-native infrastructure. Agent platforms are systems problems wearing an AI hat. • Fluency across the modern agent stack — LangChain/LangGraph-style frameworks, multi-provider routing, structured output contracts, prompt and context engineering — with the judgment to know which parts are load-bearing and which are fashion. • Security literacy. Enough to reason about whether an agent's security output can be trusted, and to argue with researchers on the merits. You don't need to be a vulnerability researcher. • Influence without authority. You'll change how three teams work with no one reporting to you. Show us where you've done that. • Advantage: experience with AI/LLM security — red-teaming agents, prompt injection, or agentic attack patterns. • Advantage: background in cybersecurity, detection engineering, or WAF/mitigation systems. • Advantage: you've driven AI adoption across a whole company, not only an engineering org. We deliberately don't list a years-of-experience bar. Agent engineering is a few years old as a discipline — we care what you've shipped and what you learned when it broke. Why Miggo? Most "AI lead" roles are a greenfield promise. This one isn't: there are real agents in production, real customers behind them, and a genuinely hard standard already half-built. You'll get the leverage of setting how an entire company builds with AI, the autonomy of a hands-on lead with no layers to negotiate, and a platform to argue the methodology in public while the category is still being defined. We're small enough for your conventions to become how Miggo works — and bold enough to publish them. <!-- notionvc: ed497ce1-f06b-42c5-be56-ef1286b4799f -->

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 Software Engineering Team Lead, reporting to the VP of R&D. This is a hands-on leadership role: you lead a team building the systems that authorize, settle, and reconcile every transaction we process, and you keep writing and reviewing code while you do it. It fits how we think about advancement here. Engineers grow by taking on harder problems and more ownership, not by how many people report to them, and your job is to create that for the engineers on your team. What You'll Do Stay hands-on: write and review code and own the architecture on our distributed, event-driven platform, in a multi-vendor, multi-method, regulated payments context. Own your team's delivery, what it builds, how it builds, and whether it holds up in production, and take your turn in the on-call rotation. Develop your engineers and help them advance: hand off real ownership, run 1:1s, give clear feedback, and recruit as the team grows. Set your team's technical direction and make the calls that span its systems. Raise the bar for how the team works with agents (Claude Code, Cursor, Codex, and what comes next), and contribute to the agent-driven flows that run in front of customers, not just behind the team. What We're Looking For 7+ years in engineering, including 2-3 years leading engineers as a team lead, tech lead, or manager; the rest spent building production systems hands-on. You still own hard technical work yourself; the hands-on ability does not lapse when you lead. A track record of developing engineers and helping them advance: hiring, mentoring, giving clear feedback, and growing people's scope and autonomy. 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) in your day-to-day work, and a considered view of how a team should use them. Not something you've tried, something you ship with. Nice to Have Experience shipping AI or agentic features into production product surfaces. Background in fintech, payments, or marketplace platforms. Experience taking a team through real adoption of agents, beyond a pilot. 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, and the room to grow a team while you keep building yourself.

We are building the AI layer of the Radio Access Network, applying agentic AI, machine learning, and LLMs to real RAN challenges — from network operations and root cause analysis to PHY simulation and uplink link adaptation. We are looking for a Technical Lead to own the end-to-end architecture and technical direction of these AI systems. This is a hands-on senior individual contributor role, combining architecture, coding, technical leadership, and mentorship. You will work from our Kfar Saba site alongside RAN, PHY, and software teams, building production-grade AI solutions for real cellular networks. What you'll do: • Define the end-to-end architecture for AI/ML systems, including agent orchestration, model serving, data pipelines, RAG, and evaluation infrastructure. • Drive technical decisions around models, frameworks, deployment strategies, and build-vs-buy approaches. • Prototype and implement critical components while setting engineering and code-quality standards. • Lead AI solutions from prototype to production, including CI/CD, monitoring, model lifecycle, versioning, and rollback. • Establish evaluation frameworks, benchmarks, and safety criteria for AI systems operating on network data. • Mentor engineers through architecture discussions, design reviews, and code reviews. • Collaborate with RAN Systems, PHY, L2/L3, Product, and customer-facing teams to translate network challenges into practical AI/ML solutions. • Contribute to technical roadmap discussions and customer-facing architecture discussions. What you should have: • 7+ years of experience in software or ML engineering, with significant experience delivering production systems. • Proven technical leadership and experience owning the architecture of complex systems end to end. • Strong Python skills and hands-on experience with PyTorch or similar ML frameworks. • Practical experience with LLM-based systems, including agents, tool calling, RAG, orchestration, prompt/context engineering, and evaluation. • Strong understanding of classical ML, including time-series analysis, anomaly detection, and supervised learning. • Working knowledge of 4G/5G RAN architecture, L1/L2/L3, network KPIs, and cellular network operations. • Experience with MLOps, containers, CI/CD, experiment tracking, model monitoring, and production deployment. • Excellent English and strong technical communication skills. Nice to have: • Hands-on experience in RAN, wireless infrastructure, telecom operators, or chipset companies. • Knowledge of O-RAN, RIC, rApps/xApps, and E2/A1/O1 interfaces. • Experience with link adaptation, scheduling, RRM, channel modeling, or PHY simulation. • Experience with reinforcement learning or contextual bandits for real-world control problems. • Experience deploying ML models in real-time or resource-constrained environments. • Background in signal processing, communications, or information theory. • M.Sc. / Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.

Every nation has data. Few can protect it. Fewer still can act on it. Dream is the sovereign AI and national cyber-defense company for governments. We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign. This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world. We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign. The Dream Job We're on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI module in our next-generation cyber-AI product. This team owns the core backend and frontend logic that powers multiple AI agents for Nations that bring intelligence and automation into the experience. As a hands-on leader, you'll guide a talented team of engineers in creating fast, scalable, and intelligent AI applications on top of our platform. The Dream-Maker Responsibilities Lead a multidisciplinary team responsible for backend services, frontend and AI agent engineering. Mentor engineers, grow the team, and foster a culture of technical excellence and innovation. Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows. Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems. Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration. Own the architecture of a large-scale, distributed recon pipeline (discovery, scanning, findings) Drive findings quality: accuracy, deduplication, risk scoring, and LLM validation to reduce false positives Own production health: observability, on-call, incident response Lead the migration from legacy EASM to the new Recon platform Manage people: 1:1s, career growth, performance, hiring The Dream Skill Set 7+ years of software development experience, with 3+ years leading and mentoring engineers. Strong expertise in backend development (Python, GO, or similar) and familiarity with modern frontend technologies (React, Vue, TypeScript, etc.). Solid understanding of developer experience - how to build frameworks and tooling that enable other teams to move faster. Experience working with or integrating AI systems, LLMs, or agent-based architectures. Experience leading senior engineers and reviewing their designs and code Distributed systems and data pipelines at scale Workflow orchestration (Temporal or similar) MongoDB / OpenSearch at scale Kubernetes, AWS, CI/CD Internet infrastructure: DNS, TLS, IP/ASN, networking Excellent collaboration skills and a startup mindset - hands-on, pragmatic, and impact-oriented. A product-oriented mindset and the ability to work in a fast-paced, team-driven environment. Advantages: Experience with agent orchestration, context management, or retrieval-augmented architectures. Experience in cybersecurity. Background in EASM, vulnerability management, or offensive security Scanning tools and internet-scan data (nmap, Nuclei, Censys, Shodan) Excellent leadership, communication, and problem-solving skills. Ability to thrive in fast moving environments with high ownership and autonomy. Never Stop Dreaming... If you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, we'd love to hear from you!

Description About Legit Security We're a well-funded cybersecurity company backed by top-tier VCs, solving one of the hardest problems in modern software security: how AI-first organizations can ship fast without security slowing them down. We're building the platform that secures the era where AI writes the code, using AI agents to generate secure code, detect vulnerabilities, and remediate them automatically. It's a fast-moving, category-defining space, and we're leading it. The Role You'll be the tech lead of a team of 6 engineers that builds the most technical and complex parts of our platform and runs them at large scale. This is a hands-on technical leadership role: you own the technical direction and the architecture, and you bring real passion for leading people and helping the engineers around you grow professionally. You lead through design docs, code review, and example, and you stay deep in the code. We're looking for someone who has architected systems, shipped to production at scale, and led projects from idea to production, not just implemented someone else's spec. AI is both how you work and what you build: you use it to move faster every day, and you know what it takes to put LLMs in front of customers. Our stack: Go, Python, and C#/.NET on the backend, React/TypeScript on the frontend, PostgreSQL and RabbitMQ, Kubernetes on AWS. What you'll do • Own the technical direction of your team and the technical quality of what it ships. • Lead the design of the platform's most complex, multi-component systems: make the hard trade-offs, write the design docs, and drive them through review. • Design and ship LLM-powered capabilities end to end: agent architectures, evaluation, guardrails, and the cost, latency, and reliability trade-offs of running them at production scale. • Run what you build: share the team's on-call rotation, like every engineer here, and feed what production teaches you back into the design. • Turn ambiguous, large-scope problems (most of them involving LLMs and agents) into concrete, shippable plans, and keep scope honest so the team ships predictably. • Grow the engineers around you through code review, mentorship, and direct feedback: you raise the bar by example, not authority. • Make AI-first engineering practice real for your team: not tool tourism, but everyday productivity. Requirements • 5+ years of professional software engineering experience, including shipping and operating production systems at a commercial product company. • 2+ years leading major projects or mentoring engineers, formally or informally: people have looked to you for direction, and you've raised a team's bar. • A track record of independent technical leadership: you've personally architected systems, written the design docs, and led projects from idea to production. • Hands-on experience operating high-scale production systems: performance, reliability, and cost trade-offs are not theoretical for you. • Strong proficiency in a modern backend language and comfort working across the stack, including a modern frontend framework. • You've built with LLMs, and AI tooling is core to how you build software: you can speak concretely about agent architectures, evaluation, where models fail, and how to design products that use them responsibly. • Experience running services on Kubernetes in a major cloud - Advantage. • Startup experience as a founder, core engineer, or first tech lead - Advantage. • Experience building security products - Advantage.

Description We are a well-funded cybersecurity startup backed by top tier VCs. Our mission is to solve some of the most challenging problems in the security of software– how to make AI-first organizations release applications fast and stay secure, leveraging AI agents to create secure code and fix vulnerabilities. We are in a fast-growing, new space and looking to lead this new era of application security where AI write code. The Role We are looking for an experienced Engineering Team Lead to lead a team of talented engineers building core components of our platform. This is a hands on leadership role combining technical ownership, people management, and architectural decision-making. You will lead a team of engineers, drive execution of complex projects, and help scale both the technology and the team. Responsibilities • Lead and mentor a team of software engineers, fostering technical excellence and ownership • Drive the design, architecture, and development of scalable cloud-native services • Collaborate with product, security, and platform teams to deliver high-impact features • Maintain high engineering standards including code quality, testing, and system reliability • Take an active role in hands-on development and technical problem solving • Support team growth through mentoring, feedback, and hiring Requirements Requirements • 5+ years of software engineering experience • At least 1+ year of experience as a Team Lead • Strong backend development experience (C#, Python, Node.js, Java, or Go) • Experience designing and building distributed systems / microservices • Experience with cloud environments (AWS/GCP/Azure) and containerized systems (Docker, Kubernetes) • Solid understanding of system design, scalability, and performance • Strong communication and leadership skills Bonus points for • Experience in cybersecurity or DevSecOps • Exposure to AI/ML or LLM-powered systems • Experience working in high-growth startup environments

Description At Sunbit, we're building financial technology that puts people first. By combining intelligent decisioning with a personalized, transparent approach, we help consumers access the payment options that are right for them while empowering merchants to build stronger customer relationships. Engineering is at the heart of how we make that happen. We build scalable distributed systems, cloud-native services, intelligent data platforms, and AI-powered solutions that enable real-time financial decisions at scale. By leveraging modern engineering practices and integrating AI into both our products and development workflows, we solve complex technical challenges, accelerate innovation, and continuously improve the way we build software. Every service, model, and architectural decision we make directly impacts our products, our customers, and the future of financial technology. What You’ll Do: Our engineering squads are responsible for critical domains and products that power our platform and support our users' ongoing relationship with us. The teams develop scalable web platforms, backend services, and applications, and are comprised of skilled engineers across the stack (backend, frontend, and data). As a Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products. Responsibilities: • Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that serve our customers and partners. • Technical Architecture - Lead the technical architecture and system design for core products and services within your domain. • Team Leadership - Guide a multidisciplinary squad of frontend, backend, and data engineers through implementation, delivery, and iteration. • Stakeholder Collaboration - Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions. • Strategic Alignment - Ensure development aligns with business objectives, long-term system health, and Sunbit’s engineering standards. • Quality - Conduct and lead design reviews, code reviews, and performance optimization efforts. • Culture Building - Drive a culture of technical excellence, ownership, and continuous improvement. • Operational Excellence - Oversee system reliability, monitoring, and incident response within your domain. Requirements • 2+ years of leadership experience, guiding engineering teams and making architectural decisions • 8+ years of software engineering experience, with a strong focus on scalable architecture and system design • Proficiency in modern system architecture with large-scale and high performance. • Impact driven - use data to make sure every task moves the needle and utilize your resources to maximize the team's impact. • Team player with strong communication skills and someone who thrives working in a fast-paced environment. • Creative, solution-oriented, and able to maintain a ‘can do’ attitude, with the ability to work efficiently under pressure and uncertainty. Adapt quickly to changing business needs. • Familiarity with microservices architecture and distributed systems. • B.Sc. in Computer Science or equivalent. • Fluent in English. • Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued. Preferred Experience: • Experience with software development in Kotlin or Java. • Experience with Frontend technologies. • Experience with mobile technologies. • Leading a multidisciplinary team. • Familiarity with microservices architecture and distributed systems. • Solid understanding of AWS or similar cloud platforms. • Expertise in the Spring Framework. • Proficient in both relational (e.g., MySQL) and non-relational databases (e.g., MongoDB). • Familiarity with message queue technologies such as Kafka, SQS, RabbitMQ, or similar. Recruitment Fraud Disclaimer We’ve been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from an @sunbit.com email address, through our applicant tracking platform @sunbit.comeet-notifications.com or directly via LinkedIn. We will never ask for your age, Social Security number, bank account details, payment of any kind, or other unrelated personal information during the application process. Our hiring process always includes interviews, either by phone, zoom, or in person, before any offer is made. If something feels suspicious, please contact us at [email protected] to confirm. We ask that you contact [email protected] only about potential instances of fraud. [email protected] does not reach our recruiting team directly. Your application directly through the posting is the best way to ensure that your candidacy is reviewed by our team. Due to the volume of applications, we will not respond to nor forward emails about your candidacy that are sent to [email protected] directly, and your email about your application will be deleted from our systems.

Description Nova is looking for a hands-on Software Team Lead to shape a new technology product that will form Nova's next-generation platform for the semiconductor industry. This is an opportunity to define the architecture, stay close to the code and lead a motivated team of three developers and one quality assurance (QA) engineer. Combining advanced software, hardware integration and creative problem-solving, you will turn complex challenges into reliable C#/.NET solutions, drive rapid delivery and champion GitHub Copilot, reusable skills and dedicated agents. Role Responsibilities What will you be doing: • Lead architecture, planning and delivery of a new technology product and Nova's next-generation platform. • Develop core C#/.NET components and guide integration with hardware interfaces and data-processing services. • Mentor three developers and a QA engineer; lead design reviews, code reviews and practical GitHub Copilot adoption. • Build a positive, supportive team culture; lead with empathy and enthusiasm, motivate people, remove blockers and help the team deliver on commitments. • Work with product, algorithm, hardware and QA teams to turn requirements into working software. • Own software quality, automated testing, performance and reliable software deployments. Requirements • 4+ years of hands-on software design and development experience. • 3 years of proven managerial experience • Expert-level C#/.NET, with strong software architecture, concurrency and debugging skills. • Proven hands-on technical leadership, mentoring and end-to-end project delivery. • Strong practical GitHub Copilot skills for implementation, refactoring, testing and debugging, including creating reusable skills (SKILL.md), context engineering and dedicated agents; independently review and validate generated code. • Hands-on Docker experience, including deployment and troubleshooting. • Working knowledge of Python for automation, tooling and integration. • Experience with Git, CI/CD, automated tests and service/API integration. • Strong knowledge of hardware interfaces and hands-on experience integrating software with hardware, including device communication and troubleshooting hardware-software interactions. Advantages: • Semiconductor or other multidisciplinary systems; image-processing integration; gRPC and SQL databases. Experience building in-house AI/LLM infrastructure, including model hosting, integration and evaluation. That special something you bring in: • Empathetic, enthusiastic and supportive leadership that motivates people and helps the team deliver. • Clear communication, strong ownership and collaboration across disciplines. Get to know us better Nova (NASDAQ: NVMI) is a global company and a leading provider of innovative metrology solutions for process control in semiconductor manufacturing. With a team of ~1200 people in three R&D centers and 27 field offices, we bring insights into the world’s most advanced industry. We leverage multiple technology fields such as physics, optics, chemistry, and algorithms to develop hardware and software solutions that measure almost every advanced computer chip built in the world. Nova dives deep into dimensions and layers at the atomic level to extract unique insights and provide our customers with crucial decision-making data, handling critical challenges by providing unique, differentiated solutions. Our outstanding people-focused and innovative culture means every person at Nova has the power to make an impact and significantly redefine what people can achieve through technology. Join us if you are A dreamer and brilliant high aimer who sees the impossible as the starting point and loves working in a multidisciplinary global team to create innovative breakthroughs. If you need assistance due to a disability, you may contact us at [email protected]

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model, a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data, not personal data, with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Large Market Modeling (LMM) team is the engine underneath Fetcherr's pricing intelligence. We're the ones who actually build and train the models — taking a chaotic world of market signals, customer behavior, and competitive dynamics and turning them into reliable, production-ready demand models. Other teams at Fetcherr work with the models; we're the ones who bring them to life. Think of us as the team that teaches Fetcherr's AI how people buy — so it can always recommend the right price at the right moment. We are looking for an Engineering Team Lead to lead the MLOps efforts - drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example. You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform. Responsibilities: • Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality. • Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production. • Stay hands-on: contribute to design and code, review work, and set engineering standards. • Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership. • Partner with R&D and other stakeholders to translate research needs into robust, scalable systems. • Help evolve the platform, including our ongoing migration from Dask to Ray. Requirements • BSc or Master's degree in Computer Science, Mathematics, or Engineering. • At least 5 years of commercial experience in Python. • At least 3 years of hands-on commercial MLOps experience in production (not side projects). • Experience managing or leading a team of engineers, with ownership of both people and delivery. • Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining). • Experience with pipeline orchestrators such as Dagster or Airflow. • Experience with a major cloud provider such as GCP, AWS, or Azure. • Experience with distributed computing systems. • Experience with Docker. • Experience with Kubernetes. • Commercial experience writing and maintaining scalable ML systems. • Fluent in English, both written and spoken. Nice to have: • Experience with Dagster (Advantage). • Experience with Dask or Ray (Advantage). • Experience with Spark, including implementing distributed algorithms in Python (Advantage). • Experience with traditional predictive, forecasting, or pricing-optimization ML systems (Advantage). • Experience in aviation, demand forecasting, or price optimization (Advantage). • Good understanding of data structures and algorithms (Advantage).

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model, a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data, not personal data, with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Large Market Modeling (LMM) team is the engine underneath Fetcherr's pricing intelligence. We're the ones who actually build and train the models — taking a chaotic world of market signals, customer behavior, and competitive dynamics and turning them into reliable, production-ready demand models. Other teams at Fetcherr work with the models; we're the ones who bring them to life. Think of us as the team that teaches Fetcherr's AI how people buy — so it can always recommend the right price at the right moment. We are looking for an Engineering Team Lead to lead the MLOps efforts - drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example. You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform. Responsibilities: • Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality. • Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production. • Stay hands-on: contribute to design and code, review work, and set engineering standards. • Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership. • Partner with R&D and other stakeholders to translate research needs into robust, scalable systems. • Help evolve the platform, including our ongoing migration from Dask to Ray. Requirements • BSc or Master's degree in Computer Science, Mathematics, or Engineering. • At least 5 years of commercial experience in Python. • At least 3 years of hands-on commercial MLOps experience in production (not side projects). • Experience managing or leading a team of engineers, with ownership of both people and delivery. • Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining). • Experience with pipeline orchestrators such as Dagster or Airflow. • Experience with a major cloud provider such as GCP, AWS, or Azure. • Experience with distributed computing systems. • Experience with Docker. • Experience with Kubernetes. • Commercial experience writing and maintaining scalable ML systems. • Fluent in English, both written and spoken. Nice to have: • Experience with Dagster (Advantage). • Experience with Dask or Ray (Advantage). • Experience with Spark, including implementing distributed algorithms in Python (Advantage). • Experience with traditional predictive, forecasting, or pricing-optimization ML systems (Advantage). • Experience in aviation, demand forecasting, or price optimization (Advantage). • Good understanding of data structures and algorithms (Advantage).

Description RealPlay LTD is a fast-growing and innovative startup in the Gaming industry. We specialize in developing innovative, high-energy games. Our team is passionate about crafting immersive gaming experiences and pushing the boundaries of technology. At RealPlay, you’ll find a collaborative and creative work environment. We're passionate about creating engaging, data-driven digital experiences that delight and inspire players across the globe. We're looking for a talented and passionate Tech Lead who can take full ownership of all infrastructure, backend logic, and API design - and work closely with the frontend to deliver exceptional user experiences. Responsibilities ● Design, implement, and maintain backend services using NestJS ● Work withDB and Redis to build efficient data models and caching strategies ● Manage background processing with BullMQ ● Collaborate with frontend engineers working in React ● Own features from infrastructure to UI: design, develop, test, deploy, and monitor ● Contribute to architecture decisions and help shape our technical roadmap ● Work in a cloud-native environment and manage deployments, configuration, and scalability. Requirements ● 8+ years of experience with NodeJS, NestJS, Postgres, Redis, and job queues ● Strong understanding of system design, scalability, and performance ● Ability to take ownership of end-to-end feature delivery, including frontend integration ● Cloud experience (e.g., AWS, GCP, or Azure) ● Experience with Terraform and infrastructure as code ● Understanding of data pipelines, ETL, and materialized views Nice to Have: ● Experience with Amazon Aurora ● Familiarity with dbt or other data engineering tools ● Experience working with data warehouses (e.g., BigQuery, Redshift, Materialize)

Job Description Summary As a Technical Subject Matter Expert, you will drive the successful delivery of complex software implementations and integrations. You will bridge the gap between client requirements and technical execution, leading your workstream as both a hands-on contributor and a mentor. By balancing project scope with operational excellence, you will influence team strategy, mentor colleagues, and ensure the delivery of high-quality, efficient technical solutions." Job Description Key Responsibilities: • Work with the Project Manager (PM) and Delivery Manager (DM) through close coordination for scope management, schedule, risk management, and quality management. • Work with Solution Planning and solution deployment • Able to present product overview to customer and conduct product proof of concept • Accountable for successful delivery of technical scope items to meet the schedule, cost and quality commitments. • Support Delivery Manager (DM) to establish Project Execution control: Build effective Work Breakdown Structures (WBS) . • Manage project team and activities to drive project deliverables • Communicate effectively with Project Manager, Delivery Manager, Customer, Project team (APAC and global), DevOps on project and technical items such as project status, risks and mitigation, scope, and issues • Trigger and validate engineering Gate Reviews (Requirements, Design, Factory Testing Readiness, Site Acceptance Readiness) within GEV and the customer • Utilize and implement software delivery performance measurement tools and indicators (e.g. Jira burndown charts, qTest) • Prepare, modify, and configure client and testing input data for solutions by creating scripts/Simulator for FAT or split data feed from customer for SIT/UAT. • Collaborate with our Service Engineering development lead during the development cycle to ensure all custom deliverables meet defined needs and standards and are on time and budget. • Perform use case and client specific testing runs and lead factory and site acceptance testing. • Debug software, documenting issues for the testing teams. • Analyse and assess data and results of project activities and tasks. • Hands-On experience, with certification a plus, in deploying solution to the GEV or Client staging. Additional Responsibilities: • Technical Leadership of the delivery and implementation of large complex solutions • Analyze, define and prioritize Business and Functional/nonfunctional requirements and processes and propose technical solutions to meet the business issues and close inefficiency gaps • Responsibility for the Business requirements through the entire lifecycle of the project from definition, implementation, test and delivery • Participating & lead technical requirements workshops • Write and present technical proposals and presentations • Ability to take ownership of issues and get them resolved using self-driven initiative Qualifications/Requirements • Bachelor's or Master degree in Information Technology, Computer Science, Physics, Electrical Engineering, or related Engineering Discipline from an accredited university or college • Familiar with emerging energy industry trends and implications on utility clients in the area of DER management, Transmission, Wide area monitoring (WAMS), distribution planning, IT, SCADA and asset management with a strong background in analysis. • Hands-on Experience with Kubernetes/ microservices/Elasticsearch, PostgreSQL/Kibana/Grafana/Kafka/datahub/Apache arrow/Apache calcite/gRPC/angular/ graphql/spring cloud/protometheus/fluenbit, kiali/jaeger/ timescale/minio/infinispan/istio/openresty/nginx/ ancher rke2/argoCD, etc • DevOps hands on experience. • You have strong electricity industry knowledge, with 5+ years relevant work experience. • You will bring strong analysis skills including requirements elicitation and management skills. • You understand how to trace a requirement to a design specification and the test plans / cases. • You are comfortable automating processes and utilizing or building scripting solutions to support product solutions. • You are highly familiar with emerging energy industry trends and modern IT software technology Nice to Have • Familiarity with cloud-based solutions and deployment activities (Azure and / or GCP) • Experience with Operating system such as MS-Windows Server and Red Hat Linux • Experience with Programming experience in software development with Microsoft Visual Studio / Development tools, Eclipse, C#, and C++ programming • Experience in using Virtualization (VMware vSphere, vCenter, vMotion, Microsoft Hyper-V, Nutanix, etc) • Experience in software analysis, design, quality assurance, architecture, and Agile development methodology • Familiar with Automatic process deployment, continues improvement (CI) and continues deployment (CD), GitOps, Automation Management Platform (AMP), Ansible • Demonstrated ability to learn new software development practices, languages, and tools • Experience with project testing such as Factory acceptance test (FAT), Site acceptance test (SAT) and user acceptance test (UAT) • Experience with web and other technologies such as HTML 5, Javascript, CSS and JQuery, Perl script, Phyton, strawberry Perl, RDBMS system such as oracle, MS-SQL, Oracle, PostgreSQL, Microsoft Power BI reporting, Tableau, crystal reports, etc Additional Information Relocation Assistance Provided: No #LI-Remote - This is a remote position Candidates should be aware that this role involves a client's critical infrastructure; shortlisted candidates would therefore be subject to heightened security checks as directed by our clients. All personal data will be handled with the utmost confidentiality and in accordance with our data protection policies, solely for recruitment and security purposes.