Sr. Director, DevOps
Listed on 2026-02-28
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IT/Tech
Cloud Computing, Systems Engineer, IT Project Manager, SRE/Site Reliability
Location
New York, NY
Employment TypeFull time
Location TypeHybrid
DepartmentEngineering & Research
Compensation- $200K – $230K
The base pay range for this position can include additional on-target bonus and/or incentives. The base pay offered may vary depending on location, job related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.
About the RoleWe’re looking for a hands‑on, globally minded Senior Director of Dev Ops to lead and evolve the Dev Ops function across both our Enterprise and Media product lines. Today, these teams operate separately; this role will bring them together into a unified organization that delivers world‑class reliability, performance, automation, and scale.
You’ll oversee ~15 people (with ~5 direct reports), including Dev Ops Leads in multiple regions. You’ll set the technical direction, elevate our operational excellence, modernize infrastructure, and partner closely with Engineering to ensure we can support continued rapid growth.
This is a player–coach role: you won’t be writing code day to day, but you must have the depth to dive into incidents, guide complex troubleshooting, and make strong architectural decisions when it matters.
If you thrive in high‑scale environments, enjoy leading sharp engineers, and love building resilient systems that support products used by some of the biggest enterprises in the world, this is a chance to have a real impact.
What You’ll DoLeadership & Strategy
Lead a unified global Dev Ops organization across Enterprise and Media teams.
Develop and execute a long‑term Dev Ops strategy aligned with our engineering and product roadmap.
Mentor and grow Dev Ops Leads and ICs; create a culture of ownership, collaboration, and continuous improvement.
Establish best‑in‑class Dev Ops practices, tooling, and processes across regions.
Own the reliability, scalability, and performance of globally distributed, real‑time systems that process trillions of events per month.
Lead modernization efforts across our infrastructure, CI/CD pipelines, automation frameworks, and observability stack.
Partner with Engineering on architectural decisions related to distributed systems, data movement, and cloud infrastructure.
Provide hands‑on leadership during escalations — guiding root‑cause analysis and incident response with technical depth.
Oversee the design, implementation, and operation of high‑scale infrastructure in cloud environments (AWS, GCP, etc.).
Scale tooling, processes, and automation to support rapid product innovation — including agentic AI–driven capabilities.
Drive improvements in cost efficiency, reliability, deployment velocity, and production security.
Champion infrastructure‑as‑code, testing best practices, and zero‑downtime deployment methodologies.
Partner with Engineering, SRE, Security, Product, and Data teams to ensure Dev Ops alignment with organizational goals.
Collaborate closely with leaders across Tel Aviv, London, and the US to create a seamless global operating model.
Foster transparent communication and joint problem solving across R&D.
Occasional travel will be required to collaborate in person with global team members
Experience
3+ years in a Dev Ops or Infrastructure leadership role
Demonstrated success managing high‑scale, real‑time cloud environments.
Experience leading global teams and operating across multiple time zones.
Proven ability to unify disparate functions into a cohesive, high‑performing organization.
Hands‑on technical background with the ability to meaningfully contribute during incidents and architectural discussions.
Strong knowledge of cloud infrastructure (AWS, GCP) and distributed systems.
Experience with automation, CI/CD pipelines, infrastructure‑as‑code, and modern Dev Ops tooling.
Familiarity with large‑scale data systems such as Snowflake, Big Query, Redshift, Druid, Cassandra, Parquet, HBase, etc.
Experience with stream…
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