Senior Platform Engineer

Job Title:Senior Platform Software Engineer

Location:Remote |

Experience:

5-8 years (guideline, not a hard gate)

Role Overview

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…