DevOps Team Leader

Cellebrite • New York, NY

8d

About The Position

Cellebrite is seeking a highly talented and hands-on DevOps Team Leader to drive infrastructure automation, CI/CD excellence, and cloud scalability. This role requires a strong technical leader with deep DevOps experience, a reliability mindset, and the ability to lead a DevOps team supporting mission-critical systems. The ideal candidate will be fluent in modern AI practices and will champion the adoption of AI and intelligent automation across the DevOps function, transforming how the team builds, ships, and operates infrastructure.

Requirements

• Must be a U.S. citizen.
• 10+ years of DevOps experience, with 5+ years leading a DevOps or SRE team.
• Working knowledge of AI practices and tooling relevant to DevOps (e.g., AI-assisted coding, AIOps, LLM-based automation, intelligent monitoring/alerting), with demonstrated experience introducing and driving adoption of such tools within a team.
• Proven hands-on experience supporting production AWS accounts, including on-call rotations, incident management, and SLA/SLO ownership.
• Strong hands-on experience with: CI/CD tools (GitHub Actions, Artifactory, ECR)
• Containerization (Docker, Docker Compose, Kubernetes)
• Cloud platforms — AWS & AWS GovCloud (must), GCP (must)
• Linux administration, IaC, and automation
• Scripting and/or languages such as Bash, Python, NodeJS, or similar
• Networking concepts and AWS Landing Zone architectures
• Strong understanding of Site Reliability Engineering concepts, including monitoring strategies, alert fatigue reduction, and reliability KPIs.
• Experience building production-safe CI/CD pipelines with quality gates and automated validations.
• Software development experience with a focus on automation, maintainability, and quality.
• Experience working in Agile/Scrum teams.
• A proactive leader with a reliability-driven mindset.

Nice To Haves

• Experience with FedRAMP, IRAP, or other regulated cloud compliance frameworks.
• Exposure to highly regulated, air-gapped, or government cloud environments.
• Experience defining enterprise-level reliability metrics and reporting to leadership.
• Familiarity with cost optimization practices (FinOps) in production environments.
• Hands-on experience with AI/ML-powered DevOps tools (e.g., GitHub Copilot or similar AI coding assistants, AIOps platforms, LLM-based chatops or automation frameworks).
• Experience leading or contributing to an organizational change initiative around AI adoption (training, tooling rollout, process redesign).

Responsibilities

• Lead and mentor the DevOps team, providing technical leadership and continuously raising engineering standards and capabilities.
• Drive SDLC and DevOps best practices — CI/CD, Infrastructure as Code, automated testing, clean code, version control, and deployment standards — with a hands-on approach to designing, building, reviewing, and troubleshooting pipelines and infrastructure.
• Lead the adoption of AI and intelligent automation (AIOps, LLM-based automation, intelligent alerting/triage, AI-assisted engineering) to reduce manual toil and improve delivery speed and reliability.
• Own and optimize CI/CD and cloud environments across AWS Commercial, AWS GovCloud, and GCP; design and maintain highly available, resilient, secure, and scalable infrastructure, with strong emphasis on networking and AWS Landing Zone architectures.
• Improve deployment velocity through controlled rollouts, canary deployments, automation, and reliable rollback strategies.
• Drive observability standards across monitoring, logging, metrics, tracing, and alerting, incorporating AI-based anomaly detection and automated root-cause analysis.
• Partner with production-owning teams on incident response, escalation, postmortems, and preventative reliability improvements, including hands-on support for complex, real-time incidents.
• Lead a globally distributed DevOps function across multiple geographies, time zones, cloud regions, and regulatory environments, with a service-oriented mindset toward development and product teams as internal customers.
• Collaborate closely with Development, Security, Compliance, Platform, and Cloud Engineering to embed reliability, security, and operational readiness throughout the SDLC.
• Evaluate emerging DevOps and AI technologies and drive responsible adoption of solutions that deliver measurable value.

Benefits

• Working closely with mission-critical, high-security production environments, including regulated cloud workloads.
• Working in an environment where reliability, security, and automation are top priorities.
• High-impact leadership role influencing architecture, availability, and delivery velocity across the organization.
• The chance to lead the AI-driven transformation of DevOps practices, shaping how the team works today and how it will work tomorrow.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed