Berufsbezeichnung:Senior Platform Software Engineer
Standort:Remote | Experience: 5--8 years (guideline, not a hard gate)
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HIRECLOUT is partnering with an established, global technology-enabled services organization that is modernizing the software foundations behind its products. The engineering team builds shared backend capabilities, cloud-native services, and AWS infrastructure that application teams rely on, making secure, reliable, high-quality software easier to build and operate at scale without each team solving the same engineering problems independently.
AI is not a productivity add-on in this environment; it is how the team builds. Engineers use agentic development as standard equipment, moving from problem to production-ready code faster than traditional development allows, while keeping the work reviewable and maintainable. The platform carries sensitive, regulated data at scale, so reliability and correctness are non-negotiable.
Key Responsibilities:
- Design and build shared platform capabilities: own the architecture and delivery of reusable backend services, libraries, frameworks, and integrations that application teams depend on, with clear interfaces, failure modes, and operational contracts
- Make AWS infrastructure usable through software: build application-level abstractions, automation, and integration patterns that let teams use cloud services securely and reliably
- Direct implementation rather than writing it line by line: decompose platform work, write specifications and contracts, and delegate implementation to AI agents, stepping into code when complexity, debugging, or technical judgment demands it
- Engineer for reuse, compatibility, and testability: design for multiple consumers, backward compatibility, safe migrations, and verifiable behavior
- Own the testing strategy and validate that generated tests provide meaningful evidence
- Build reliability, security, and observability into the platform: establish defaults for authentication, authorization, failure handling, telemetry, and deployment safety that improve every service built on it
- Own production outcomes and platform adoption: review agent and human work with the same rigor, respond to incidents, and work with consuming teams to make shared capabilities practical to adopt and operate
- Remain accountable for the full lifecycle: planning, design, code, tests, review, and production
Education \& Qualifications:
- Deep server-side engineering experience in Java, Python, C#, Kotlin, or Go; you have designed and operated backend systems and built reusable components that other engineers depend on
- Strong distributed systems fundamentals: API and event contracts, asynchronous messaging, concurrency, idempotency, consistency, failure handling, and versioning across independently deployed services
- Hands-on AWS experience designing and operating production workloads, including compute, networking, storage, databases, messaging, IAM, and the tradeoffs among managed services
- Comfortable with containers, infrastructure as code, and CI/CD
- Experience building shared backend foundations (service frameworks, common libraries, authentication and authorization, integration layers, or similar capabilities) with deliberate attention to compatibility, configuration, documentation, and adoption
- Reliability and security engineering experience in production: observability, SLOs, incident response, resilient architectures, and secure handling of sensitive or regulated data
- A testing strategy appropriate for shared platform software: unit, integration, contract, and compatibility testing, with reliable CI feedback and confidence that changes will not break downstream consumers
- Agentic AI is your primary development surface: you can specify complex platform work, direct agents to implement it, and verify correctness across integrations, edge cases, and operational behavior
- You have shipped production software this way and can identify where human judgment is essential
Why Our Client:
- Work on shared platform capabilities that improve every service and team built on top of them
- AI-native engineering culture where agentic development is the standard way of working
- Opportunity to own architecture and delivery across the full lifecycle, from design through production
- High-impact modernization effort with a focus on reliability, security, and quality
- Fully remote role
Compensation, Benefits and Perks:
- Base salary range: $160,000 -- $200,000 USD (actual compensation depends on experience, education, pay market/geography, and scheduled hours)
- Full benefits package, including PTO, medical, dental, vision, and 401(k) with match
- Employee assistance program and wellness program
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. This position does not offer sponsorship.
