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Senior Software Engineer
HíbridoTiempo completoBackend DevelopmentElectronics ManufacturingEnterprise Software
Join an enterprise AI team building security services for AI workloads across on-premises datacenters, public cloud, and SaaS. This hybrid role is based in Tel Aviv, with at least three days per week in the office.
Responsabilidades
- Design and build platform services, control planes, policy enforcement paths, and APIs
- Own services from architecture and implementation through deployment and production operations
- Address distributed systems challenges across on-premises, public cloud, and SaaS environments
- Build infrastructure for AI inference, serving, agent runtimes, and data flows
- Implement security measures for identity and access, workload isolation, secrets handling, and secure-by-default patterns
- Translate sovereignty and hybrid cloud requirements into implementable designs
- Improve team technical quality through design reviews, code reviews, and pairing
Requisitos
- Bachelor’s degree in computer science or equivalent practical experience
- At least five years building server-side software, including systems designed, shipped, and operated in production
- Strong experience with complex distributed systems, including consistency, partial failures, upgrades, rollout, scaling, and production debugging
- Proficiency in a modern backend language such as Java, Go, or Python, with sound API and data modeling skills
- Working knowledge of at least one major cloud platform and AI workload deployment
- Use of AI coding agents such as Claude or Cursor in day-to-day work
Se valora
- Hands-on experience building AI agents, orchestration, tool use, MCP, prompt and context engineering, retrieval, or evaluating agent behavior
- Experience deploying and operating AI workloads, including inference, serving, GPU scheduling, and model or data pipelines
- Experience with AI security, including attack methods and defenses
- Experience in sovereign or regulated environments involving data residency and isolation
- Familiarity with AI governance or security frameworks, policy-as-code, or compliance automation
- Master’s or doctoral degree in computer science, cybersecurity, or machine learning
Beneficios
- Career advancement and personal growth opportunities
- Access to training programs
- Performance-based rewards