Senior DevOps Engineer

Art of Problem Solving•San Diego, CA

12h•Hybrid

About The Position

As a Senior DevOps Engineer, you will join AoPS’s Platform Group, which owns the infrastructure, developer experience, and core services used by AoPS products. You will help build and operate a platform that is more visible, resilient, and easier for engineers to build on. The role focuses on leading observability practices as the architecture becomes more distributed; working with product engineers to define meaningful service metrics and SLOs; operating and evolving Kubernetes in production; and designing CI/CD pipelines and self-service tools. You will lead incident response, investigate root causes, conduct effective post-mortems, identify application stability risks, and help establish engineering standards through reviews and mentorship. You will also explore ways AI can improve infrastructure and engineering effectiveness. This is a hybrid full-time position based at AoPS headquarters in San Diego, California. The full salary range is $134,000–$180,000. Employment is contingent on successfully completing a background check, and candidates must be legally authorized to work in the United States; sponsorship, including STEM-OPT and H-1B, is unavailable.

Requirements

At least 5 years of professional experience in DevOps, SRE, platform engineering, or software engineering, including at least 3 years focused on infrastructure or operations.
Operational experience running Kubernetes in production.
Deep observability experience, including hands-on proficiency with a modern observability platform such as Datadog, Grafana, or OpenTelemetry, and experience building tooling around it.
Experience defining SLOs and helping product teams adopt good observability practices.
Strong experience designing and maintaining CI/CD pipelines and internal developer tooling.
Experience designing, securing, and managing scalable infrastructure in AWS.
Proficiency with Infrastructure-as-Code; Terraform is preferred.
Solid software engineering skills and comfort writing production-quality code for tools and automation.
A track record of leading incident response and turning lessons learned into lasting improvements.
An AI-forward mindset and genuine curiosity about how AI is changing infrastructure and engineering work.
Excellent communication skills and the ability to influence engineering practices across teams.
Legal authorization to work in the United States; the company cannot provide sponsorship, including STEM-OPT and H-1B.

Nice To Haves

Experience with event-driven or distributed architectures, such as message buses and asynchronous services.
Experience managing observability costs or migrating between observability platforms.
Familiarity with Node.js and/or PHP applications, and with MariaDB, PostgreSQL, or Redis.
Experience building or contributing to AI-powered developer tooling.
Experience in EdTech or consumer products.

Responsibilities

Lead and develop the observability practice, including logging, metrics, tracing, and alerting.
Work with product engineers to define service health measures and meaningful SLOs, and incorporate observability into their work.
Operate and evolve the production Kubernetes platform, maintaining reliability, security, and cost-effectiveness.
Design CI/CD pipelines and self-service tooling so product teams can ship quickly and safely.
Lead incident response, identify root causes, and run post-mortems that drive lasting improvements.
Identify stability risks in application designs before they reach production.
Establish standards for observability, Kubernetes, and developer tooling across engineering.
Support other engineers’ development through code reviews and mentorship.
Explore ways AI can improve infrastructure and engineering effectiveness, and share findings with the team.