Software Engineer - Cloud Platform - Remote
About The Position
The Software Engineer will join Optum’s Cloud Platform Engineering team, which builds reusable software and platform capabilities for secure cloud infrastructure across Microsoft Azure and Amazon Web Services. This is a software engineering role focused on cloud platforms rather than traditional systems administration. The team uses Infrastructure as Code as a software engineering discipline, applying Terraform composition, reusable frameworks, internal libraries, testing, dependency management and automation to manage cloud resources. The engineer will enhance established platform patterns, contribute production software, and use modern AI-assisted engineering practices while developing broader cloud expertise. The position is remote within the United States and includes participation in a weekly on-call rotation.
Requirements
- At least 2 years of software engineering, platform engineering, cloud engineering or equivalent practical experience.
- Experience working in an Agile delivery model with disciplined backlog refinement, acceptance criteria and technical documentation.
- Production software-development experience in Java, C#, TypeScript or another comparable general-purpose programming language, including testing and debugging.
- Practical Terraform experience, including reusable modules, composition, iteration and dynamic constructs, state and remote backends, automated testing and CI/CD integration.
- Deep expertise in at least three cloud infrastructure domains in either Azure or AWS: networking, DNS, identity and access management (IAM), certificates/PKI, private and hybrid connectivity, or Kubernetes. Equivalent depth in both providers is not required.
- Ability to reason about data structures, graph relationships, algorithms, computational complexity and reusable software abstractions.
- Ability to participate in a weekly on-call rotation and support incident response for the platform capabilities the team owns.
- United States citizenship.
Nice To Haves
- Relevant Azure or AWS certification is strongly preferred; associate-level credentials are appropriate. Demonstrated practical expertise is more important than certification alone, and foundational certifications alone do not establish the required depth.
- Experience with large or deeply composed Terraform codebases, multi-cloud abstractions, code generation, internal SDKs, testing frameworks or custom policy frameworks.
- Experience with GitLab CI/CD, Argo CD, CDK8s, AKS, EKS or other Kubernetes and GitOps technologies.
- Deep specialization in one or more of the listed cloud infrastructure domains.
- Practical AI-assisted development and exposure to MCP, agentic workflows, RAG or comparable AI engineering patterns.
Responsibilities
- Develop, test and enhance reusable Terraform modules, platform framework components, internal libraries and supporting software written in Java, C# or TypeScript.
- Implement cloud platform capabilities within established architecture using Terraform, GitLab CI/CD, GitOps and cloud-native automation patterns where appropriate.
- Apply software engineering fundamentals such as data structures, algorithms, computational complexity, dependency-graph reasoning, interface design, automated testing and maintainable abstraction design.
- Participate in code and design reviews and improve the reliability, security, observability, testability and maintainability of shared platform components.
- Build and maintain GitLab pipelines for testing, validation, policy enforcement, packaging and safe infrastructure delivery.
- Participate in the weekly on-call rotation, support incident response and service restoration, and turn operational learnings into tests, automation, documentation or platform improvements.
- Participate in Scrum, Kanban or a hybrid Agile model, including backlog refinement, planning, reviews and retrospectives; maintain clear work items, acceptance criteria and technical documentation.
- Use approved AI-assisted development capabilities to improve coding, testing, troubleshooting, documentation and operational workflows, and show practical interest in emerging agentic workflows.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase, subject to eligibility requirements.
- 401k contribution, subject to eligibility requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
