Senior DevOps Engineer - AI for Security Team

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Lenovo Digital Trust Lab is hiring a Senior DevOps Engineer to build the foundation our AI-powered security platform runs on. You will architect scalable cloud infrastructure and robust CI/CD pipelines that take our platform from development to reliable, high-performance production deployments, owning how it is built, tested, shipped, and operated in the cloud.

Candidate must be willing to work onsite in our Tel-Aviv, Israel office.

Job Responsibilities

• Own production deployments of the platform across cloud environments (dev, staging, and production), ensuring reliable, repeatable, and high-performance releases.
• Design, build, and maintain CI/CD pipelines end-to-end, including build, test, artifact management, progressive delivery, and automated rollback.
• Manage cloud resources and capacity, including autoscaling, performance tuning, and cost optimization across environments.
• Architect and operate scalable, resilient cloud infrastructure, with the monitoring, alerting, and observability needed to keep production healthy.
  
  

• BSc in Computer Science or equivalent practical experience.
• 5+ years of experience in DevOps, infrastructure, SRE, or platform engineering, including owning production systems at scale.
• Cloud Infrastructure: deep, hands-on experience in:
• Designing and operating production workloads on at least one major cloud provider (AWS, Azure, or GCP),
• Kubernetes and containers (Docker), including cluster design, workload scheduling, autoscaling, and troubleshooting in production,
• Networking fundamentals: VPCs, load balancing, DNS, service mesh, and secure connectivity.
• CI/CD Reliability: proven experience in:
• Building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar) for multi-service systems, including release strategies such as blue/green, canary, feature flags, and automated rollback.
• Observability stacks (Prometheus, Grafana, OpenTelemetry, ELK, or similar), SLOs, and on-call and incident management.
• Strong scripting and software engineering skills in Python and/or Go, plus Bash.
• Strong ownership, clear communication, and the ability to work closely with researchers and engineers in a fast-moving environment.
  
  

• Hands-on experience deploying and integrating cloud AI services such as Microsoft Foundry (Azure AI Foundry), Amazon Bedrock, or Google Vertex AI, including provisioning, networking, identity, quotas, and cost management, with experience deploying AI-powered applications and agents to production on cloud platforms.
• Familiarity with the agentic ecosystem (AI agents, MCP) and how agents are deployed and operated in production, including experience with AI-powered coding/agent workflows (Claude, Cursor, and similar).
• Experience integrating security tools into CI/CD pipelines, including SAST, DAST, SCA, secret scanning, and container image scanning (e.g., GitHub Advanced Security, Snyk, Checkmarx, SonarQube, Trivy), with hybrid or on-prem infrastructure experience alongside cloud.
  
  

• Disability Insurance
• Health Insurance
• Pension Fund
• Retirement Fund
• Study Fund
• Meal Allowance
• Employee Referral Bonus
• Employee Assistance Program
• 10% discount on Lenovo products
• Internal e-learning platform