Tech Lead jobs in Israel

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.

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 -->

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.

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 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 We are seeking an experienced Tech Lead to manage the Domain Experts covering penetration testing, red teaming, cloud security, and ICS/OT (SCADA) security. This role is dedicated to the quality of intent analysis for cybersecurity prompts that an AI system could not confidently classify as benign or malicious, across the domains of the team. You need to be a hands-on expert in your own field, with enough working knowledge of penetration testing, red teaming, and cloud security to judge prompts and guidelines that cross into the other team's domains. You also need to be independent, organized, and able to lead technical experts. What you'll do: • Lead and manage the Domain Experts of the team (Enterprise Red Teaming, Web Application Security, Cloud Redteaming, ICS/OT (SCADA): priorities, workload, and performance • Route incoming rows to the team's domains and rebalance freelancer capacity inside the team as row volume shifts • Track team quality (agreement and disagreement rates, QA findings) and throughput, and report to the Group Manager • Resolve escalated edge cases and prompts that span several domains, and work with the other Tech Lead when a prompt crosses into their field • Keep the annotation guidelines consistent across the team's domains and propose updates • Annotate or review directly when needed to unblock the team Requirements • Minimum of 7 years of proven, hands-on experience in penetration testing, red teaming, cloud security, or ICS/OT (SCADA) security, with deep expertise in at least one of them • Working knowledge across all domains of the team, including ICS/OT protocols (Modbus, DNP3, S7comm, OPC UA) and PLC and SCADA architectures, enough to assess and coach the Domain Experts in each • Solid working knowledge of the other team's fields: penetration testing, red teaming, and cloud security, including common attack paths, tooling, and how their techniques appear in real intrusions • At least 2 years of experience leading or mentoring technical specialists (team lead, tech lead, or senior reviewer) • Experience with quality processes such as QA sampling, calibration sessions, and quality metrics • Strong analytical judgment: able to infer a user's underlying goal from a short prompt and separate defensive, educational, and research use from attack preparation • Clear written and verbal communication in English Nice to have: • OSEP, GCPN, GIAC GICSP • Demonstrated online achievements, write-ups, or contributions on platforms such as HackTheBox, Pwn2Own, TryHackMe, Bug Bounty programs, or published security research. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description We are seeking an experienced Tech Lead to manage the Domain Experts covering reverse engineering, malware research, and vulnerability research. This role is dedicated to the quality of intent analysis for cybersecurity prompts that an AI system could not confidently classify as benign or malicious, across the domains of the team. You need to be a hands-on expert in your own field, with enough working knowledge of reverse engineering, malware research, and vulnerability research to judge prompts and guidelines that cross into the other team's domains. You also need to be independent, organized, and able to lead technical experts. What you'll do: • Lead and manage the Domain Experts of the team (Vulnerability Research & Reverse Engineering, Windows Malware Research, Linux/MacOS Malware Research, Android/iOS Security Research): priorities, workload, and performance • Route incoming rows to the team's domains and rebalance freelancer capacity inside the team as row volume shifts • Track team quality (agreement and disagreement rates, QA findings) and throughput, and report to the Group Manager • Resolve escalated edge cases and prompts that span several domains, and work with the other Tech Lead when a prompt crosses into their field • Keep the annotation guidelines consistent across the team's domains and propose updates • Annotate or review directly when needed to unblock the team Requirements • Minimum of 7 years of proven, hands-on experience in reverse engineering, malware research, or vulnerability research, with deep expertise in at least one of them • Working knowledge across all domains of the team, enough to assess and coach the Domain Experts in each • Solid working knowledge of the other team's fields: reverse engineering, malware research, and vulnerability research, including how malware behaves, how binaries are analyzed, and how exploits are built • At least 2 years of experience leading or mentoring technical specialists (team lead, tech lead, or senior reviewer) • Experience with quality processes such as QA sampling, calibration sessions, and quality metrics • Strong analytical judgment: able to infer a user's underlying goal from a short prompt and separate defensive, educational, and research use from attack preparation • Clear written and verbal communication in English Nice to have: • GIAC GREM, OSED, OSCP • Demonstrated online achievements, write-ups, or contributions on platforms such as HackTheBox, Pwn2Own, TryHackMe, Bug Bounty programs, or published security research. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Founded in 2002, AU10TIX is a global leader in AI-driven identity verification and management, protecting the world’s largest brands against advanced fraud. Our future-proof product portfolio helps businesses provide frictionless customer onboarding and verification in 4–8 seconds, while staying ahead of emerging threats and evolving regulatory requirements. As a Software TL, You'll lead a team of 6 engineers across web, mobile and backend, and report to the Director of Development. It's a hands-on leadership role: you own the team's delivery and its people, and you stay close enough to the code to make good technical calls. What you'll do: • Lead, grow and manage a team of six engineers across web, mobile and backend • Own delivery end to end: plan, prioritize and get features to customers on time, together with product and QA • Run our feature delivery process from PRD to release, so work is tested as it's built and ships when it's ready • Set the technical direction for our SDKs, console and capture services, together with the Architect Office • Raise the quality bar: test coverage, monitoring and code review. • Drive an AI-first way of working in how the team writes, tests and reviews code • Work with product, support and customers on issues and escalations Requirements • 7+ years in software development, with at least 3 years leading a team • An AI-first approach: you use AI tools every day in your own work, and you know how to get a team working the same way, from code to tests to reviews • Deep understanding of testing and quality: test design, unit, component and end-to-end tests, and building quality in from the start • Strong critical thinking: you question assumptions, ask why before how, and back decisions with data • Hands-on background in at least one of: React on the web, mobile (native iOS or Android, Flutter or React Native), or backend services in Node.js or Python • Experience building SDKs or products used directly by customers or other developers • A track record of delivering to dates and managing priorities across product, QA and other teams • Experience with CI/CD and cloud environments, ideally Azure and Kubernetes Nice to have • Mobile SDK experience: iOS, Android, Flutter or React Native • Experience with camera and image capture on web or mobile • Background in identity verification, fraud prevention or fintech

Description TeraSky is a global technology solution integrator specializing in AI, Cloud, DevOps platforms and Data. Since 2010, we have helped more than 1,000 organizations adopt advanced technologies through over 4,000 complex deployments, including Kubernetes platforms, modern data environments, and Generative AI solutions. Our team of 300+ experts works closely with leading technology partners, including AWS, Microsoft, Google, and VMware, to design, implement, and operate scalable enterprise environments. If you’re excited about working with leading experts, modern technologies, and complex, high-impact projects, TeraSky offers an environment where you can grow and make a real impact 🚀 We are looking for an experienced Technical Lead to join our DevOps team and serve as a key technical authority across customer engagements and internal initiatives. This role combines hands-on engineering, technical leadership, and architectural thinking, with a strong focus on delivering scalable, secure, and high-quality cloud solutions. You will act as a trusted partner to the Team Lead, driving technical direction, solving complex challenges, and helping the team adopt modern technologies and best practices. Responsibilities • Act as the primary technical authority for complex challenges and architectural decisions, owning the technical direction across customer engagements and internal projects • Take strong ownership of technical outcomes and drive end-to-end implementation of cloud solutions, from design to production readiness • Define and enforce best practices, standards, and validation processes, leading technical reviews and knowledge sharing across the team • Mentor engineers and support their technical growth and skill development • Support pre-sales activities including demos, scoping, and POCs, and review SOWs with technical validation, recommendations, and LOE estimates • Drive adoption of new technologies, in collaboration with the CTO office • Contribute to and prioritize technical backlog items and internal assets, including reusable code and documentation • Balance hands-on execution with mentorship and continuous innovation Requirements • At least 10 years of relevant experience in DevOps and cloud environments • At least 2 years of experience as a Technical Lead or in a similar leadership role, ideally within a consulting or customer-facing environment • Strong hands-on experience in AWS and Azure, including architecture, networking, security, and CI/CD • Mandatory hands-on experience with Kubernetes (K8s) and the cloud-native ecosystem • Deep understanding of DevOps practices, platform engineering, and modern cloud architectures, with proven ability to troubleshoot complex distributed production systems • Strong programming skills in Python and/or Go for automation and scalable systems • Hands-on expertise in AI/GenAI technologies, including integrating LLM-based solutions into real-world systems • Experience in observability and monitoring tools (e.g., Prometheus, Grafana, ELK) • Ability to evaluate new technologies and translate them into practical, customer-ready solutions • Ability to operate effectively at scale in dynamic, fast-changing environments

Description Work model: Hybrid Akeyless Security delivers a cloud-native SaaS platform that integrates Vaultless Secrets Management with Certificate Lifecycle Management, Next Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to manage the lifecycle of all machine identities and secrets across all environments. Trusted by Fortune 100 companies and industry leaders, Akeyless is redefining identity security for the modern enterprise, delivering the world’s first unified Secrets & Machine Identity platform designed to prevent the #1 cause of breaches - compromised identities and secrets. Backed by the world’s leading cybersecurity investors and global financial institutions including JVP, Team8, NGP Capital, and Deutsche Bank. We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers. Responsibilities: • Foster a positive, collaborative culture and grow the team’s capabilities. • Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews. • Work together with product managers to translate requirements into scalable technical solutions. • Balance refactoring and evolution with steady delivery of new features. • Drive a culture of technical excellence, ownership, and continuous improvement. • Oversee system reliability, monitoring, performance optimization and incident response. 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. • 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 with the ability to adapt quickly to changing business needs. • B.Sc in computer science or equivalent. Preferred Experience: • Experience with software development in Go. • Leading a multidisciplinary team with experience in frontend technologies. • Familiarity with microservices architecture and distributed systems. • Experience with Cloud environments (AWS, GCP, Azure) and working in microservices distributed environments (Docker, Kubernetes). • Experienced in B2B Cyber Security / Cloud Security / Identity & Access Management / Encryption Keys Management.

Description At Classiq Technologies, we’re shaping the future of quantum computing. Our mission is to make quantum computing practical and impactful by bridging the gap between hardware and real-world applications. Our platform enables developers and enterprises to design, optimize, and deploy quantum algorithms at scale, automating complex processes and supporting teams from beginners to experts across diverse architectures. Clasiq is trusted by Fortune 500 leaders and global governments. We accelerate the quantum era with a platform that transforms bold quantum ideas into working applications. You’ll join Classiq as a Tech Lead, where you’ll guide teams and projects, be hands-on with strong Python skills. You’ll write code, set technical direction, coach engineers, and maintain our high standards. Your focus is simple: help the team ship reliable software faster and with fewer surprises. What You'll Do • Write and review production code—mainly in Python, with some TypeScript—aiming for clarity, performance, and maintainability. • Lead design work: define architecture, make trade-offs, and drive projects from proposal to production. • Mentor engineers through design reviews, code reviews, and pair programming; share best practices openly. • Raise code quality: testing strategy (unit/integration), type hints, static analysis, docs, and automation. • Improve developer experience: faster CI/CD, better build and test tooling, reliable local dev environments, reproducible setups. • Work with product, infra, and compiler teams to deliver features that meet reliability, latency, and scale goals. • Continuously reduce toil: improve observability, simplify workflows, and adopt tools that make engineers more effective. • Leverage AI/LLM tooling to empower developers and streamline engineering processes with measurable impact on cycle time, flakiness, and onboarding. Who You Are • Extensive hands-on Python development in production systems. • Strong system design and scalable architecture experience. • Experience leading technical projects and guiding teams through design, implementation, and rollout. • Proven mentoring and clear communication in code and design reviews. • A habit of engineering excellence: testing, pre-commit hooks, documentation, and CI/CD. • Comfort with modern workflows: Git, GitHub actions, and agile practices. • Hands-on experience applying AI/LLMs to developer workflows and processes and integrating them safely into systems. • B.Sc. in Computer Science/Engineering or related field. Bonus Points • Cloud and DevOps experience (AWS, Docker, Kubernetes); infrastructure-as-code and secure software supply chain know‑how. • Background in developer tooling (build systems, test frameworks, artifact management, internal libraries, cluster orchestration). • Familiarity with quantum frameworks (Classiq, Qiskit, Cirq, PennyLane). • Familiarity with domain-specific languages. • Open-source contributions or active involvement in developer communities.

We Are Teva We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together. Our Team, Your Impact DADAI (Data, Analytics, Digital & AI Delivery) is building a next generation enterprise delivery engine that turns the company’s biggest opportunities into measurable outcomes using data products, digital automation and applied AI. The ambition is to combine startup pace with enterprise discipline: product thinking, predictable delivery at scale, strong engineering standards, and clear architecture, security and quality gates that enable speed without compromising control. DADAI has been shaped as an enterprise “factory”, 200+ engineers, designed to absorb significant demand across multiple global domains, industrializing the path from idea to production and continuous improvement while scaling through strategic partners and still preserving internal knowledge and ownership. This is a rare opportunity to join a new leadership organization and to help set how the Teva will use data, analytics and AI to modernize decision making, automate critical processes, and accelerate innovation across core functions and value chains. Location This role can be based in Israel (Tel Aviv), Germany (Ulm), India (Bangalore), Poland (Warsaw) or United Kingdom (Harlow). The Role The AI Technical Lead owns the technical delivery of production-grade AI systems across enterprise digital, data, and analytics environments. This role sets engineering direction and provides strong hands-on leadership to design, build, deploy, and operate enterprise AI capabilities on a Microsoft-first stack, including agentic systems, generative AI applications, AI-enabled automation, and ML-powered platforms, ensuring consistent standards, quality, governance, security, and reliable global operations. Partners with enterprise architecture, security, privacy, legal, and central AI/data governance teams to enable delivery teams (internal and external partners) to build scalable, compliant, and auditable AI solutions across regions, cloud environments, and delivery models How You’ll Spend Your Day • Accountable for all AI engineering activities with in the DADAI delivery factory. • Lead the design, build, and operation of enterprise AI solutions on a Microsoft-first stack, including Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, and Azure services. • Remain highly hands-on: review architecture and code, build proofs of concept, troubleshoot complex issues, and guide implementation teams through production hardening. • Define and enforce engineering standards for AI delivery, including evaluation, monitoring, release controls, security, privacy, and Responsible AI practices in regulated environments. • Work across architects, platform teams, security, and delivery stakeholders to ensure AI solutions are scalable, supportable, compliant, and aligned to business needs. Your Skills and Experience • 7+ years of proven experience leading and developing large (20+) engineering teams, including direct people management responsibilities, coaching, performance management, career development, and hiring in a complex enterprise environment. • 10+ years in software engineering, including senior hands-on design and delivery of applications and API in a modern Microsoft cloud environment. • 2+ delivering complex enterprise production GenAI and agentic solutions on Microsoft technologies such as Azure OpenAI, Azure AI Foundry, Copilot Studio, RAG, and evaluation workflows. • Strong Azure engineering background, including Azure Functions, App Services, AKS, API Management, Entra, CI/CD, monitoring, and production support. • 10+ years Hands-on technical leadership with proven ability to build POCs, MVPs and production applications, review code and architecture, troubleshoot production issues, and lead implementation teams by example. • 5+ years of experience working in enterprise or regulated environments with strong security, privacy, governance, and Responsible AI controls. • Strong communication and stakeholder management skills across architecture, security, delivery, and business teams. • BSc/BA in Computer Science, Software Engineering, Information Systems, or equivalent experience; relevant Azure or AI certifications are a plus. Key Skills • Hands-on builder and technical leader who can design, prototype, review, and unblock complex AI implementations. • Strong problem-solving across prompts, models, retrieval, orchestration, runtime behavior, performance, and cost. • Ability to translate business needs into practical technical solutions, delivery plans, and engineering trade-offs. • Practical understanding of AI SDLC, evaluation, monitoring, rollback, and operational readiness for production systems. • Clear communication and strong collaboration in cross-functional, global delivery environments. Core Technology Stack • AI platforms: Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, Prompt Flow • Azure engineering: Azure Functions, App Services, AKS, API Management, Logic Apps, Event Grid, Service Bus • Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability • Security and governance: Microsoft Entra, Purview, Key Vault, Defender, Azure Policy • Data and analytics: Azure AI Search, Microsoft Fabric, Azure Data Factory, Power BI, SQL How We’ll Take Care of You At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.  Already Working @Teva? Make sure to apply through our internal career site on Twist—your one-stop shop for career development Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.