לוח משרות דרושים Principal Engineer עבודה היברידית, לחיפוש זה נמצאו 4 משרות !

We're looking for a Principal Software Engineer to take end-to-end ownership: from research and design through production, on systems that combine classical algorithms with AI/LLM-based capabilities. This is an AI-native role in both senses - you'll build security for AI systems, and you'll work AI-first yourself, using coding agents across the development lifecycle and knowing how to get consistently high-quality results from them.

You'll work as a senior individual contributor with real influence over architecture and product direction, collaborating directly with security researchers, data scientists, and product managers across our Poland and Israel teams (1-hour time difference - genuine daily collaboration, not satellite work).


What You'll Do
Own solutions end to end - from studying the domain and generating your own ideas, through research and design, to coding, shipping, and supporting them in production.

Drive independent research in a new domain where problems are not fully defined, balancing innovation with practical, cost-effective engineering

Build and evolve backend & frontend, extending traditional microservices with AI/LLM-based capabilities

Use AI agents throughout development - research, design, coding, and testing - to raise both speed and quality

Work closely with security researchers, data scientists, and product managers to turn ideas into shipped product

We are seeking a Principal Software Engineer to help define and build the next generation of solutions for running Microsoft Windows as a guest operating system on OpenShift Virtualization. In this role, you will apply your in-depth knowledge of Windows operating systems to contribute to a critical component of our OpenShift. You will work within a collaborative, globally distributed team and have the opportunity to make a significant impact on our cloud-native and Kubernetes virtualization offerings.

What you will do:

Architect, design, and implement features related to the Windows guest operating system experience within OpenShift Virtualization, focusing on performance, stability, and interoperability.

Serve as a primary resource for technical expertise on Windows guest issues, collaborating with upstream communities and other engineering teams.

Contribute to the full development life cycle, including requirement analysis, design, development, testing, and documentation.

Mentor junior team members and provide technical leadership on complex projects.

Engage with upstream communities like Kubernetes, KubeVirt, and QEMU to contribute and align our strategy.

Troubleshoot and resolve complex problems reported by customers and quality engineering teams.

Advocate for best practices in software development, including code quality, continuous integration, and automated testing.

We are looking for a Sr. Staff Security Engineer to be a technical anchor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our AI Security Research team. You will be one of the senior technical leaders shaping the teams engineering culture, architecture decisions, and technical direction from its inception.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do
Lead Technical Design and Architecture:
Drive architecture and design decisions for Security R&Ds capabilities, ensuring systems are built for enterprise scale, reliability, and maintainability.
Lead technical design reviews and serve as the senior engineering voice on security tooling, automation, and platform services built by the team.
Define technical standards, code quality expectations, and engineering best practices for the Security R&D team.
Evaluate and integrate third-party security services alongside in-house AI-powered capabilities to maximise security review coverage.
Build Security Capabilities at Platform Scale:
Design and develop security tooling, automation, and platform-native services - both for internal use and as externally facing product features.
Contribute code directly into our product engineering codebases where security domain expertise accelerates delivery and improves security outcomes.
Leverage our unique platform advantages - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to build capabilities that external vendors cannot replicate.
Collaborate with the AI Security Research team on AI agent security tooling, bringing production engineering discipline to an emerging domain.
Mentor and Elevate the Team:
Mentor junior and mid-level engineers, raising the technical bar across the team through code reviews, design guidance, and hands-on pairing.
Represent Security R&D in cross-functional discussions with product engineering leadership, demonstrating technical credibility as an engineering peer.
Contribute to hiring by helping define the technical interview bar and participating in candidate evaluations.

We are looking for a Principal AI Engineering Lead to own and drive our AI engineering maturity journey across a 100-person R&D, QA, and DevOps organization.
This is a hands-on individual contributor role with outsized influence - you will be the internal expert, practitioner, and change agent who takes us from inconsistent AI tool adoption to a fully agentic, multi-phase autonomous engineering capability.
You will not be managing people. You will be changing how 100 engineers work.
This role is equal parts engineering, enablement, and architecture. You will write real code, build real agent workflows, and make the abstract concrete - turning a defined AI maturity framework into daily practice across Java/JVM, Python, C#/.NET, Oracle PL/SQL, and C++ codebases.
Scope of your position:
AI Adoption & Enablement
Audit current AI tool usage across R&D, QA, and DevOps - identify where adoption is genuine vs. nominal
Establish and maintain CLAUDE.md-equivalent constitution files: encoding team conventions, architectural standards, testing patterns, and security policies so AI tools produce consistent, codebase-aware output from day one
Drive daily active usage above 70% across the engineering org, measured by tool telemetry - not seat count
Design and deliver hands-on enablement: prompt engineering, output validation, effective task decomposition, and AI-assisted debugging across our primary stacks (Java/Spring, Python, C#/.NET, C++, Oracle PL/SQL)
Run monthly retrospectives to surface what context AI is still missing and close those gaps systematically
Agentic Infrastructure & Workflow Engineering
Architect and implement the infrastructure that makes autonomous agent execution safe: sandboxed execution environments, audit logging for all agent actions, and state checkpointing for mid-task recovery
Build and enforce the specification discipline: structured spec templates with machine-verifiable acceptance criteria, spec completeness gates before agent assignment, and a lightweight spec-driven development workflow appropriate for our codebases
Stand up self-verifying test loops - agents that write tests, implement, run CI, and iterate to green without human intervention - with coverage gates enforced in CI (80%+ on AI-generated code paths)
Shift CI/CD pipelines to increase build throughput: automated rollback, feature flags for deploy/release decoupling, and tiered review workflows (auto-merge → single reviewer → full review)
Deploy and tune Claude Code as the primary agentic coding platform, alongside evaluation and integration of other tools (GitHub Copilot, Cursor, or equivalent) where they complement the workflow