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Open nowFirst seen 28 hours ago

DevOps Team Leader

cellebrite/c3.00f39 open roles

Where
US - New York City
Work mode
Hybrid
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Your applicationOpen nowDevOps Team Leadercellebrite/c3.00f · US - New York City

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  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 28 hours ago

The posting

About Cellebrite:

Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities.

To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite.

We are looking for a highly talented and hands-on DevOps Team Leader to join our team and drive infrastructure automation, CI/CD excellence, and cloud scalability at scale.

This role requires a strong technical leader with deep DevOps experience, a reliability mindset, and the ability to lead a DevOps team that supports mission-critical systems in close partnership with the teams who own production.

We're looking for someone who is fluent in modern AI practices and who will champion the adoption of AI and intelligent automation across the DevOps function, transforming how the team builds, ships, and operates infrastructure.

What We Expect From You

  • 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, building a culture of measurable, ongoing AI adoption rather than one-off experimentation.
  • 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 where they add value.
  • 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.

What You'll Love About This Role

  • 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.

Requirements

What You Need to Succeed

Must Have

  • 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 Have / Advantage

  1. Experience with FedRAMP, IRAP, or other regulated cloud compliance frameworks.
  2. Exposure to highly regulated, air-gapped, or government cloud environments.
  3. Experience defining enterprise-level reliability metrics and reporting to leadership.
  4. Familiarity with cost optimization practices (FinOps) in production environments.
  5. 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).
  6. Experience leading or contributing to an organizational change initiative around AI adoption (training, tooling rollout, process redesign).
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