AWS Cloud Platform Engineer - REMOTE

Job Description Our Healthcare Insurance Client is looking for a Senior Cloud Platform Engineer for a remote work from home 1 year renewing contract. Weu2019re looking for a Senior Platform Engineer who thrives at the intersection of cloud infrastructure, backend engineering, and developer enablement. This role is ideal for an engineer who enjoys building secure, scalable platforms that abstract complexity away from product teams, while still being close to the underlying systems. Youu2019ll design and operate shared AI-native platforms that power application delivery, cloud native services, CI/CD pipelines, and operational tooling. Youu2019ll collaborate closely with SRE, security, and product engineering teams to ensure the platform is reliable, self-service, and built for scale. This is not a traditional ops role, and itu2019s not purely application development. The focus is on productizing infrastructure and backend capabilities as platforms. Required Skills & Experience What Youu2019ll Do Platform & Cloud Engineering u2022 Design, build, and operate cloud-native platforms on AWS (or equivalent), emphasizing scalability, availability, security, and cost efficiency u2022 Embed AI-assisted and agentic workflows into CI/CD pipelines, infrastructure provisioning, incident response, and operational tooling u2022 Develop and maintain cloud infrastructure using Infrastructure as Code (Terraform preferred) u2022 Build and support shared cloud services such as networking, IAM patterns, managed data services, observability tooling, and service templates u2022 Partner with SRE and security teams to embed reliability, compliance, and guardrails into platform workflows Backend & Systems Development u2022 Design and build backend services, APIs, and internal platforms that enable other teams to move faster u2022 Develop automation and tooling using modern backend languages (e.g., Go, Python, Kotlin, Node, or similar) u2022 Contribute to service architecture decisions, including service-to-service communication patterns, data access strategies, and resiliency models u2022 Review code and architectural designs with a focus on performance, operability, and long-term maintainability Developer Enablement u2022 Create self-service interfaces, documentation, and workflows that reduce friction for application teams u2022 Enable product teams to consume AI-powered platform capabilities through secure, self-service interfaces u2022 Improve CI/CD pipelines, release automation, and deployment strategies u2022 Advocate for platform-as-a-product thinking: usability, adoption, and developer experience matter u2022 Partner with product managers and engineers to understand developer pain points and translate them into platform capabilities Technical Leadership u2022 Act as a senior technical contributor and mentor to other engineers u2022 Influence standards and best practices across infrastructure, backend, and platform design u2022 Participate in architecture reviews and contribute to longer-term platform roadmap discussions u2022 Lead by example in operational excellence, incident response, and post-incident learning What You Bring Core Skills u2022 Strong experience in cloud infrastructure engineering and backend service development u2022 Demonstrated experience for working in AI-native engineering environments, where AI tools, agents, and automation are treated as core collaborators in the development process u2022 Hands-on experience with: o AWS (EC2, ECS/EKS, RDS/Aurora, S3, IAM, VPC, etc.) o Infrastructure as Code (Terraform strongly preferred) u2022 One or more backend languages (Go, Python, Kotlin, Node, Java, etc.) u2022 Solid understanding of distributed systems concepts: scalability, resilience, observability, and failure modes u2022 Experience building or operating CI/CD pipelines and release automation Platform Mindset u2022 Ability to think in terms of platforms and products, not just individual systems u2022 Comfort working with abstractions while still understanding whatu2019s underneath u2022 Experience enabling other teams through tooling, automation, and guardrails u2022 Strong written and verbal communication skills, especially for explaining complex systems clearly u2022 Self-starting, able to contribute to roadmap, and take initiative with features and user stories Nice to Have u2022 Full stack experience (React, frontend tooling, or internal UI development), though not required u2022 Familiarity with LLM platforms, agent frameworks, or AI-enabled developer tooling (commercial or open source) u2022 Experience with Kubernetes, service meshes, or container orchestration platforms u2022 Familiarity with security and compliance concepts in regulated environment We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Required Skills & Experience What Youu2019ll Do Platform & Cloud Engineering u2022 Design, build, and operate cloud-native platforms on AWS (or equivalent), emphasizing scalability, availability, security, and cost efficiency u2022 Embed AI-assisted and agentic workflows into CI/CD pipelines, infrastructure provisioning, incident response, and operational tooling u2022 Develop and maintain cloud infrastructure using Infrastructure as Code (Terraform preferred) u2022 Build and support shared cloud services such as networking, IAM patterns, managed data services, observability tooling, and service templates u2022 Partner with SRE and security teams to embed reliability, compliance, and guardrails into platform workflows Backend & Systems Development u2022 Design and build backend services, APIs, and internal platforms that enable other teams to move faster u2022 Develop automation and tooling using modern backend languages (e.g., Go, Python, Kotlin, Node, or similar) u2022 Contribute to service architecture decisions, including service-to-service communication patterns, data access strategies, and resiliency models u2022 Review code and architectural designs with a focus on performance, operability, and long-term maintainability Developer Enablement u2022 Create self-service interfaces, documentation, and workflows that reduce friction for application teams u2022 Enable product teams to consume AI-powered platform capabilities through secure, self-service interfaces u2022 Improve CI/CD pipelines, release automation, and deployment strategies u2022 Advocate for platform-as-a-product thinking: usability, adoption, and developer experience matter u2022 Partner with product managers and engineers to understand developer pain points and translate them into platform capabilities Technical Leadership u2022 Act as a senior technical contributor and mentor to other engineers u2022 Influence standards and best practices across infrastructure, backend, and platform design u2022 Participate in architecture reviews and contribute to longer-term platform roadmap discussions u2022 Lead by example in operational excellence, incident response, and post-incident learning What You Bring Core Skills u2022 Strong experience in cloud infrastructure engineering and backend service development u2022 Demonstrated experience for working in AI-native engineering environments, where AI tools, agents, and automation are treated as core collaborators in the development process u2022 Hands-on experience with: o AWS (EC2, ECS/EKS, RDS/Aurora, S3, IAM, VPC, etc.) o Infrastructure as Code (Terraform strongly preferred) u2022 One or more backend languages (Go, Python, Kotlin, Node, Java, etc.) u2022 Solid understanding of distributed systems concepts: scalability, resilience, observability, and failure modes u2022 Experience building or operating CI/CD pipelines and release automation Platform Mindset u2022 Ability to think in terms of platforms and products, not just individual systems u2022 Comfort working with abstractions while still understanding whatu2019s underneath u2022 Experience enabling other teams through tooling, automation, and guardrails u2022 Strong written and verbal communication skills, especially for explaining complex systems clearly u2022 Self-starting, able to contribute to roadmap, and take initiative with features and user stories Nice to Have u2022 Full stack experience (React, frontend tooling, or internal UI development), though not required u2022 Familiarity with LLM platforms, agent frameworks, or AI-enabled developer tooling (commercial or open source) u2022 Experience with Kubernetes, service meshes, or container orchestration platforms u2022 Familiarity with security and compliance concepts in regulated environment

Created: 2026-03-23