Senior Platform Engineer

HIRECLOUT; United States; Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

PTO

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Employee Assistance Program

Wellness program

Job summary

HireClout is seeking a Senior Platform Software Engineer to help modernize shared backend capabilities, AWS infrastructure, and cloud-native services. The role is remote and focuses on agentic development to deliver production-ready platform components.

You will own architecture, testing strategy, reliability, and security across the platform while collaborating with application teams to ensure secure, scalable services in a regulated data environment. This is a high-impact, remote opportunity.

Qualifications

• Extensive backend engineering experience in Java, Python, C#, Kotlin, or Go.
• Strong distributed systems fundamentals: API and event contracts, asynchronous messaging, concurrency, idempotency, consistency, failure handling, and versioning.
• Hands-on AWS experience designing and operating production workloads.
• Familiar with containers, infrastructure as code, and CI/CD.
• Experience building shared backend foundations with compatibility, configuration, documentation, and adoption.
• Reliability and security engineering in production: observability, SLOs, incident response, resilient architectures, and secure handling of sensitive or regulated data.
• Agentic AI development experience and ability to specify platform work for agents.
• Experience shipping production software using this approach and recognizing where human judgment is essential.

Responsibilities

• Design and build shared platform capabilities: architecture and delivery of reusable backend services, libraries, and integrations.
• Make AWS infrastructure usable through software: abstractions, automation, and integration patterns for secure cloud use.
• Direct implementation: decompose platform work, write specifications, delegate to AI agents, intervene when needed.
• Engineer for reuse and testability: design for multiple consumers, backward compatibility, safe migrations.
• Own the testing strategy and validate tests provide meaningful evidence.
• Build reliability, security, and observability into the platform: defaults for authentication, authorization, failure handling, telemetry, and deployment safety.
• Own production outcomes and platform adoption: review agent and human work with rigor, respond to incidents, and drive adoption.
• Remain accountable for full lifecycle: planning, design, code, tests, review, production.

Skills

Backend engineering

Distributed systems

AWS

Containers

CI/CD

Agentic AI

Production software

Security engineering

Tools

AWS

Job description

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 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.