Engineering Manager, Platform & DevOps
New
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This is a fully remote role. Candidates must reside in and perform work from one of the following states: AZ, CA, CO, DC, FL, GA, IL, IN, KS, MA, MD, MI, MN, MO, NC, NJ, NM, NV, NY, OK, OR, SC, TN, TX, UT, VA, WA, or WI.Full-TimeManager
SalaryThe salary range for this role is $180,000.00 - $205.000.00. The total compensation package for this role also includes equity stock options.
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Job Details
- Required Skills
- AWSKubernetesPostgresCI/CDTerraform
Requirements
- Have hands-on Platform or DevOps engineering experience and experience managing engineers while continuing to ship.
- Have deep knowledge of AWS, infrastructure as code (Terraform), Kubernetes, and Postgres.
- Have production experience operating a large web and mobile application surface area.
- Have experience using coding agents and LLM tooling in a software lifecycle, including CI integration, evaluation, guardrails, and cost control.
- Have experience improving how an engineering organization adopts coding agents and LLM tooling.
- Understand CI/CD and regression suite platform coverage, including keeping tests fast and trusted.
- Be able to help engineers move from manual to automated testing.
- Be fluent in delivery and reliability metrics and use them to coach a team.
- Write clearly and build alignment through proposals and decision records in a remote, asynchronous company.
- Have a track record of independently adopting generative AI to accelerate personal and team work.
Responsibilities
- Lead, coach, hire, and set direction for a team of Platform and DevOps engineers while remaining hands-on.
- Own the AWS platform end-to-end, including infrastructure as code, Kubernetes, CI/CD, environments, observability, incident response, and cloud cost.
- Lead the Agentic Software Development Lifecycle practice to keep AI tools safe, aligned, and continuously improving.
- Enable product teams to release with automated verification and embedded tests across web and mobile.
- Deliver deployment environments and CI pipelines that keep pace with agent-generated change.
- Measure and improve delivery, including time in CI, code review, and QA.
- Build written alignment with product and engineering leaders on platform roadmap and investment trade-offs.
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