Senior DevOps Engineer - AI for Security Team

General Information

Req #

WD00106656

Career area:

Hardware Engineering

Country/Region:

Israel

State:

Tel Aviv District

City:

Tel Aviv-Yafo

Date:

Monday, October 12, 2026

Working time:

Full-time

Additional Locations:

• Israel

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

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.

Minimum Requirements:

• 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.

Advanced Requirements:

• 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.

What we offer:

• 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

Please note that the office is located at 121 Menachem Begin Road, Tel Aviv, 61st floor, in the POINT office complex. As per our office policy, you will be required to visit the site at least 3 times a week.

#DTL

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Additional Locations:

• Israel

• Israel

AI PROCESSING NOTICE

We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.