About The Position
At Lusha, we’re building for builders. We build fast and AI-first, so we look for builders. By a builder, we mean someone who turns “maybe” into “done”. We’re looking for a hands-on DevOps Tech Lead to help shape how Lusha builds and runs infrastructure in the AI era. You’ll build a shared platform for AI agents in production, evolve our AWS and Kubernetes infrastructure, and bring AI into the way our engineers work every day. You’ll own technical decisions, create capabilities that teams across R&D rely on, and mentor engineers from architecture all the way to production. Experience working with AI tools is a must. This role is based in Tel Aviv, with a hybrid model of 3 days a week in the office.
This might be for you if
- You want to build the infrastructure that runs AI agents in production, including agent execution, MCP integrations and model access
- You enjoy evolving a cloud platform, CI/CD and self-service tools that make developers faster
- You see AI as a way to automate infrastructure, investigate incidents and speed up delivery
- You care about reliability, security, observability and cost, and treat them as part of the product
- You like leading technical initiatives, running architecture reviews and setting engineering standards others want to follow
Requirements
- 7+ years of experience in DevOps, SRE or Platform Engineering, including technical leadership and mentoring
- Deep, hands-on experience with AWS and Kubernetes in production SaaS environments
- Strong skills in Python, Terraform/OpenTofu, CI/CD and GitOps
- Hands-on experience building or integrating AI agents, LLM applications or MCP tools
- Proven experience building shared platforms adopted by engineering teams
- Strong troubleshooting skills, a high sense of ownership and great cross-team collaboration Nice to have:
- Experience with agent orchestration
- Experience with evaluation frameworks
- Experience with model gateways
- FinOps experience
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