Senior Platform Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and create shared platform capabilities, which encompass reusable backend services, libraries, frameworks, and integrations.

• Develop application-level abstractions, automation, and integration patterns to ensure secure and reliable use of AWS.

• Break down platform tasks, draft specifications and contracts, and assign implementation to AI agents.

• Engage in coding when faced with complexity, debugging requirements, or the need for technical judgment.

• Engineer solutions for reusability, compatibility, safe migrations, and testability for multiple consumers.

• Take ownership of the testing strategy and ensure that the tests generated provide substantial evidence.

• Establish defaults for authentication, authorization, failure handling, telemetry, and deployment safety.

• Take responsibility for production outcomes and platform adoption.

• Review work done by both agents and humans, respond to incidents, and collaborate with consuming teams to facilitate adoption and operation.

⛳️ Requirements

• Extensive server-side engineering experience in Java, Python, C#, Kotlin, or Go.

• Proven experience in designing and operating backend systems and creating reusable components.

• Strong understanding of distributed systems fundamentals, including API and event contracts, asynchronous messaging, concurrency, idempotency, consistency, failure handling, and versioning.

• Practical AWS experience in designing and managing production workloads, including compute, networking, storage, databases, messaging, and IAM.

• Familiarity with containers, infrastructure as code, and continuous integration/continuous deployment (CI/CD).

• Experience in building shared backend foundations such as service frameworks, common libraries, authentication and authorization, or integration layers.

• Experience in reliability and security engineering in production settings, including observability, service-level objectives (SLOs), incident response, resilient architectures, and secure management of sensitive or regulated data.

• Background in testing strategy encompassing unit, integration, contract, and compatibility testing.

• Familiarity with agentic AI as a primary development interface; capability to specify complex platform tasks, direct agents, and verify correctness across integrations, edge cases, and operational behaviors.

• Experience in the delivery of production software using agentic AI and the ability to discern where human judgment is critical.

🏝️ Benefits

• Paid Time Off (PTO)

• Medical insurance

• Dental insurance

• Vision insurance

• 401(k) with matching contributions

• Employee Assistance Program (EAP)

• Wellness program