Senior Platform Engineer

he Opportunity

We're looking for a Senior Platform Engineer who combines expertise in developer tooling and productivity with strong platform engineering skills. You'll build the infrastructure and tools that make our engineering teams more productive—CI/CD pipelines, deployment workflows, and developer tooling that delights.

You understand that great infrastructure isn't just reliable and scalable—it's intuitive and empowering. You've built or improved CI/CD systems, created developer tools teams love, or championed better developer experiences. You think about infrastructure from the developer's perspective and eliminate friction and toil.

You'll take ownership of key tooling projects while building your platform engineering breadth. Lead technical projects spanning 2-3 engineers, drive improvements affecting the entire organization, and develop the technical leadership skills that define staff-level engineers.

What You'll Do on the Team

• Own and evolve CI/CD infrastructure—reduce build times, improve deployment reliability, implement progressive rollouts, and make releases fast and stress-free
• Build developer tooling and automation that eliminates toil—CLI tools, deployment automation, self-service capabilities, and intuitive abstractions over complex infrastructure
• Partner with product engineering teams—gather feedback, understand workflows, and co-design solutions they'll love
• Design and maintain Kubernetes infrastructure that's operable, debuggable, and accessible—making container orchestration intuitive while ensuring reliability
• Operate and improve cloud infrastructure (AWS primary, multi-cloud with GCP/Azure) supporting AI workloads and rapid growth
• Lead technical projects spanning 2-3 engineers—define roadmaps, recommend approaches, coordinate work, and ensure delivery

A Few Projects You Could Be Working On

• Owning CI/CD infrastructure evolution—cutting build times from 20 minutes to 5 minutes while increasing reliability and test coverage
• Building comprehensive developer tooling—creating CLI tools that let engineers deploy services, check logs, and manage infrastructure with simple commands
• Architecting self-service deployment capabilities—enabling product teams to deploy feature branches to test environments automatically, complete with monitoring and cleanup
• Designing local development improvements—making it easy for engineers to run services locally that mirror production behavior
• Creating observability and monitoring tooling—building dashboards and alerts that help engineers understand system health and debug distributed systems

What You'll Bring to the Team

• 5-8 years of platform/infrastructure/DevOps engineering experience with a track record building and operating production systems at scale
• Strong CI/CD and developer tooling expertise—you've built, owned, or improved deployment pipelines and developer tools, understanding what makes them fast, reliable, and developer-friendly
• Developer empathy and product thinking—you consider how infrastructure decisions impact engineering velocity and work to improve developer experience
• Ability to lead initiatives independently—you identify problems, design solutions, build consensus, and deliver results with autonomy
• Strong platform engineering foundation—you operate effectively across cloud architecture, infrastructure automation, containerization, and distributed systems
• Production Kubernetes experience—you operate, troubleshoot, and optimize K8s, and can build abstractions that make it accessible
• Cloud architecture skills (AWS strongly preferred) and infrastructure-as-code proficiency (Terraform or similar)—you design resilient systems and think in code
• Scripting and automation skills (Python, Bash, Go, or similar) and strong communication—you automate toil, build tools, and explain technical decisions clearly

Nice to have:

• Software development experience in Go, Python, or Node.js—you can write production-quality code when building tools
• Track record of building developer tooling or internal platforms that achieved high adoption and measurably improved team productivity
• Experience with observability platforms (Datadog, Prometheus, Grafana) or service mesh technologies
• Familiarity with AI/ML infrastructure requirements or local development environment tools

Compensation:

$134,000 to $186,000 per annum base salary + equity + benefits

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.