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 shape how Lusha builds and operates infrastructure in the AI era. You’ll lead the design and development of a shared agentic platform, giving engineering teams the foundations to build, deploy, and operate agents in production. You’ll also evolve our AWS and Kubernetes platform and bring AI into the way we develop, deliver, and operate software.
A central part of your role will be designing reusable infrastructure and services for agent execution, tool and MCP integrations, model access, and operational visibility. You’ll partner with R&D, Security, and Data Platform to turn AI experiments into supported production capabilities, and adapt CI/CD, observability, and infrastructure workflows for AI-assisted and agent-driven development.
You’ll define engineering standards for the platform: workload isolation, identity and secrets, scoped tool access, evaluation gates, deployment and rollback, and traceability of agent actions. You’ll mentor engineers and guide architecture and code reviews, balancing autonomy with appropriate approvals, reliability, and cost controls.
Experience with AI tools is a must. You’ll use AI coding tools daily and build AI into how the DevOps group works: infrastructure changes, incident investigation, documentation, and developer self-service. You’ll own the quality of the outcome and measure improvements in delivery speed, operational effort, and reliability.
The position is based in Tel Aviv, with a hybrid model of three office days per week.
This might be for you if:
- You enjoy building shared platforms that developers choose to use because they make shipping software and agents faster, simpler, and safer.
- You enjoy designing AWS and Kubernetes infrastructure for both services and agent workloads, including isolation, networking, identity, scaling, and recovery.
- You have strong experience with microservices orchestration across polyglot environments at scale.
- You care about agent and service observability: execution traces, tool calls, failures, latency, model usage, and cost, alongside incident response and recovery.
- You enjoy mentoring engineers and helping teams make clear technical decisions through thoughtful reviews and practical documentation.
- You evaluate new technologies and balance delivery speed, reliability, security, performance, and costs when choosing solutions.
- You want to build agent-driven DevOps workflows with scoped permissions, audit trails, appropriate approval points, and reliable recovery paths.
- 7+ years of hands-on experience in DevOps, SRE, or Platform Engineering, with demonstrated experience leading technical initiatives and mentoring engineers.
- Ability to design infrastructure for agent execution, including asynchronous jobs, retries, state, concurrency, and failure recovery, and to reason about the risks of agents using tools and accessing data.
- Deep production experience with AWS, including EKS, IAM, VPC networking, load balancing, and core compute and storage services.
- Strong Kubernetes, Docker, and Helm expertise, including cluster operations and troubleshooting distributed applications.
- Proven experience designing and maintaining Infrastructure as Code with Terraform or OpenTofu; familiarity with Terragrunt.
- Experience operating production SaaS environments and building CI/CD pipelines and GitOps workflows, using tools such as GitHub Actions and Argo CD.
- Strong Python programming skills, with experience developing, extending, and maintaining automation and internal DevOps tools.
- Solid Linux and networking fundamentals, including DNS, TLS, HTTP, and connectivity troubleshooting.
- Experience with production incidents, observability, rollback strategies, and recovery procedures.
- Practical understanding of least-privilege identity, secrets management, workload isolation, and controlled tool access for services and AI agents.
- Experience building shared agent platforms or internal developer platforms adopted by multiple teams.
- Ability to prioritize work across teams, drive initiatives through to adoption, and explain technical decisions clearly to technical and non-technical stakeholders.
- Hands-on experience building or integrating AI agents, LLM applications, or MCP tools into engineering workflows, with concrete examples of what you shipped and how you validated it.
- Regular use of AI coding tools to deliver reviewed, tested, and maintainable code.
Nice to have:
- Familiarity with Vault, Karpenter, OpenTelemetry, Prometheus, Grafana, or Coralogix.
- Experience improving cloud efficiency through capacity planning, resource optimization, and FinOps practices.
- Experience with agent runtimes and orchestration, MCP servers, model gateways, or evaluation frameworks; familiarity with model routing, quotas, and usage controls.
- Familiarity with infrastructure supporting Databricks and data workloads, and experience partnering with Data Platform teams.
- Familiarity with the AWS Well-Architected Framework.
Skills Required
- 7+ years of hands-on experience in DevOps, SRE, or Platform Engineering
- Experience leading technical initiatives and mentoring engineers
- Ability to design infrastructure for agent execution, including asynchronous jobs, retries, state, concurrency, failure recovery, and agent access risks
- Deep production experience with AWS, including EKS, IAM, VPC networking, load balancing, compute, and storage services
- Strong Kubernetes, Docker, and Helm expertise, including cluster operations and distributed application troubleshooting
- Experience designing and maintaining Infrastructure as Code with Terraform or OpenTofu; familiarity with Terragrunt
- Experience operating production SaaS environments and building CI/CD pipelines and GitOps workflows using tools such as GitHub Actions and Argo CD
- Strong Python programming skills for automation and internal DevOps tools
- Solid Linux and networking fundamentals, including DNS, TLS, HTTP, and connectivity troubleshooting
- Experience with production incidents, observability, rollback strategies, and recovery procedures
- Understanding of least-privilege identity, secrets management, workload isolation, and controlled tool access
- Experience building shared agent platforms or internal developer platforms adopted by multiple teams
- Ability to prioritize cross-team work, drive adoption, and explain technical decisions to technical and non-technical stakeholders
- Hands-on experience building or integrating AI agents, LLM applications, or MCP tools into engineering workflows
- Regular use of AI coding tools to deliver reviewed, tested, and maintainable code
- Familiarity with Vault, Karpenter, OpenTelemetry, Prometheus, Grafana, or Coralogix
- Experience with cloud efficiency, capacity planning, resource optimization, and FinOps practices
- Experience with agent runtimes, MCP servers, model gateways, evaluation frameworks, model routing, quotas, or usage controls
- Familiarity with infrastructure supporting Databricks and data workloads
- Familiarity with the AWS Well-Architected Framework
Lusha Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lusha and has not been reviewed or approved by Lusha.
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Healthcare Strength — Health coverage is described as robust, including an option for a fully covered individual plan plus dental, vision, life, and disability. Feedback suggests employer-paid individual medical options and comprehensive plan choices are available.
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Wellbeing & Lifestyle Benefits — Everyday perks such as meal stipends, snacks, commuter benefits and paid parking combine with wellness offerings like subsidized gym, fitness classes, and annual screenings. These lifestyle benefits are consistently featured for office-based teams.
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Retirement Support — A 401(k) plan is offered to support retirement savings. This is explicitly included alongside compensation packages in U.S. listings.
Lusha Insights
What We Do
At Lusha, we're building a future where every B2B sales professional is equipped with the data they need to succeed. Founded in 2016 by Assaf Eisenstein and Yoni Tserruya, our mission is to organize the world's business data while empowering our customers to uncover relevant revenue and growth opportunities. We're proudly GDPR compliant and maintain a globally compliant database. With a staggering reach of 1 million users and a database boasting over 200 million entries, including 45 million direct contacts in North America, 50 million enterprise and SMB business profiles, and 21 million GDPR-compliant European contacts, Lusha stands as an indispensable resource in the B2B landscape. Our community has surged to over 670,000 sales professionals and 223,000 sales organizations, proudly showcasing partners such as Zendesk, Google, and Yotpo. With significant investments totaling $240 million, we've transitioned from our bootstrap origins to unicorn status with a value estimation of $1.5 billion. Starting as a profitable bootstrap company and surviving solely on profits for 4.5 years, our journey is a testament to our commitment to innovation and the iconic brand we've become, continuously setting new standards in the industry. In total, Lusha has 300 employees globally in two sites—Tel Aviv and Boston. Our teams are the driving force behind everything we do, dedicated not only to meeting but exceeding our customers' needs. We understand the importance of connection, fostering a collaborative environment where every employee contributes to our success. Your voice matters, your ideas count, and together, we'll thrive. Join us on this journey to revolutionize B2B sales. Let's grow better together.
Why Work With Us
Welcome to Lusha, where culture isn't a label—it's our DNA. Dream-driven creators, user-centric innovators, and relentless learners, we thrive on simplicity, collaboration, and trust. Join us in shaping a company we're proud of—one where every voice matters and dreams fuel our journey.
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