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DevOps Team Leader

Job in New York, New York County, New York, 10261, USA
Listing for: Cellebrite
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below
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 ,  and find us on social media @Cellebrite.

We are looking for a highly talented and hands-on Dev Ops Team Leader to join our team and drive infrastructure automation, CI/CD excellence, and cloud scalability s role requires a strong technical leader with deep Dev Ops experience, a reliability mindset, and the ability to lead a Dev Ops 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 Dev Ops function, transforming how the team builds, ships, and operates infrastructure.

What We Expect From You
  • Lead and mentor the Dev Ops team, providing technical leadership and continuously raising engineering standards and capabilities.
  • Drive SDLC and Dev Ops 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 Gov Cloud, 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 Dev Ops 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 Dev Ops 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 Dev Ops practices, shaping how the team works today and how it will work tomorrow.
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