Senior Platform Engineer

Responsibilities

• Package core backend and database utilities into versioned, independently hosted internal packages, allowing feature teams to easily upgrade or revert versions to stay unblocked.
• Conduct thorough code reviews on incoming InnerSource pull requests submitted by feature developers, ensuring platform extensions remain reliable and well-architected.
• Lead the migration of internal platform tooling from Docker to Kubernetes to optimize system scalability.
• Collaborate with our infrastructure engineers to integrate automated schema validation and database linting tools directly into our monorepo CI/CD pipelines.
• Partner with Product Managers and Team Leads to develop technical estimates and requirement specifications for complex engineering needs.
• Troubleshoot production issues by analyzing logs, schemas, and system performance; form testable hypotheses to resolve underlying architectural bottlenecks.

Requirements

• Excellent verbal and written communication skills.
• Minimum of 5 years of professional software engineering experience.
• Minimum of 3 years of Python development experience.
• Minimum of 3 years of experience configuring and working with relational databases.
• Minimum of 2 years of experience designing, implementing, or supporting structural data migrations.
• Experience developing software in a Unix or Linux environment.
• Experience using Git and Jira within an agile development workflow.
• Demonstrated passion for learning and the ability to quickly understand unfamiliar codebases.
• Strong analytical troubleshooting skills and the ability to ask effective technical questions of engineers and product managers.
• U.S. citizenship and ability to obtain and maintain up to a Top Secret/SCI security clearance.

Take Technical Ownership of Platform Services

• Drive the development, maintenance, and production support of our shared backend infrastructure packages and core data-migration suites. This includes working extensively with:
• Python and related data processing frameworks
• Docker and Kubernetes
• Postgres, advanced SQL, and data modeling frameworks
• FastAPI and secure API gateway utilities

Provide Technical Guidance

Serve as a technical mentor for other engineers across the organization, actively contributing to our internal Architecture Guild to align team standards.

Minimum Qualifications

Experience building, running, and troubleshooting containerized applications using Docker and Kubernetes.

Why This Role is Unique

You will not be stuck handling repetitive feature tickets or writing siloed, one-off database scripts. Instead, you will have full organizational backing to treat data infrastructure as a high-leverage product. By building automated guardrails and versioned backend packages, you become a multiplier for the entire department. Your work will directly empower independent feature teams to ship code with total autonomy and speed.

#LI-MS1

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