Sr. Software Engineer, Platform

Responsibilities

• Design, build, and maintain platform services and capabilities in our core stack (C# .NET, Node.js/TypeScript, Postgres, Redis, AWS) that are used across multiple product teams.
• Improve the reliability, scalability, and performance of high-throughput, transaction-heavy workflows by refining data models, background processing, and runtime safeguards.
• Collaborate with product, payments, data, and infrastructure teams to understand their use cases, shape platform APIs and integration contracts, and align on priorities.
• Break down complex platform initiatives into clear, incremental milestones and drive them from design through implementation, rollout, and ongoing improvement.
• Strengthen observability, on-call readiness, and incident response for platform services so issues can be detected, diagnosed, and resolved quickly and confidently.
• Contribute high-quality, production-ready code and thoughtful technical design documents, and provide constructive code reviews for your peers.
• Use AI-assisted development tools as a normal part of your workflow (for example, for code generation, test authoring, refactoring, and incident analysis) and help the team adopt effective AI-augmented engineering practices.
• Partner with the team to improve our CI/CD pipelines, deployment strategies, and environment management to make shipping changes safer and faster.

Requirements

• 6+ years of professional software engineering experience in SaaS or product engineering environments.
• Experience building and operating backend services in modern server-side frameworks (ideally C# .NET, and Node.js/TypeScript) with a relational database such as Postgres or MySQL, including schema design and query optimization.
• Experience working on platform, infrastructure, or other foundational teams, or owning shared services that multiple product teams rely on.
• Strong foundation in production-grade engineering practices, including automated testing, CI/CD, observability, and incident response.
• Ability to reason about performance, reliability, and data correctness in high-integrity domains such as financial, payments, or similarly sensitive systems.
• Comfort using AI-assisted development tools in your daily work, with examples of how you have used AI to improve the quality, speed, or reliability of your output.
• Experience integrating with 3rd party services and/or experience building enterprise level shared services.

Nice-to-Haves

• Experience improving test suites and deployment practices (for example, reducing test runtime, eliminating flaky tests, or introducing canary/blue–green deployment strategies).
• Experience building or contributing to internal developer platforms, golden paths, or other platform-as-product initiatives.
• Familiarity with self-storage, property management, or similar operational software domains.