Cloud Operations Engineer responsible for ensuring operational stability of Saviynt’s cloud platform. Collaborating with teams to troubleshoot issues and implement improvements in a dynamic environment.
About the role
- Senior AI Developer Platform Engineer responsible for building AI-augmented software delivery platform at Lirio. Collaborating with teams to ensure seamless integration within existing systems.
Responsibilities
- Responsible for designing, building, and maintaining the AI-augmented software delivery platform that enables Lirio's engineering team to build software faster and safer using AI coding agents.
- Owns the end-to-end developer toolchain, from work item intake through AI agent coding loops to validated, compliant pull requests, ensuring that developers and AI coding agents can produce production-ready code together within Lirio's HIPAA/HITRUST-regulated environment.
- Collaborate cross-functionally with platform, cloud, security, and machine learning research engineers, as well as system architects, to ensure the AI developer platform integrates cleanly with Lirio's existing infrastructure and compliance posture.
- Deliver working developer platform capabilities in weeks, not quarters, starting with what we have today and iterating based on real results.
Requirements
- Bachelor's degree in related field
- 5-7 years of related experience
- AI-assisted development fluency: Hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude Code, Codex CLI, or similar). Not just casual use, but experience building workflows, instruction files, or agent orchestration patterns around them.
- Platform engineering or developer productivity background: Experience building internal developer platforms, CI/CD pipelines, developer tooling, or infrastructure that accelerates how engineering teams deliver software.
- Compliance in regulated environments: Experience working within HIPAA, HITRUST, SOC 2, or equivalent compliance frameworks. Ability to translate compliance requirements into automated guardrails rather than manual review bottlenecks.
- Programming proficiency: Strong skills in Java and/or Python (Lirio's primary stack). Ability to work across codebases, write tooling, and understand the code that AI agents produce.
- Agent orchestration and integration: Familiarity with MCP (Model Context Protocol), LLM APIs, instruction file systems, or similar patterns for configuring and constraining AI agent behavior. Experience building integrations between developer tools and enterprise systems (work item tracking, source control, CI/CD).
- CI/CD and DevOps proficiency: Strong experience with CI/CD pipelines, automated testing, code review workflows, and deployment automation. Experience with Azure DevOps (ADO) is a plus; GitHub Actions/Workflows experience is also valuable.
- Security awareness: Understanding of secure software delivery practices, including code scanning, dependency management, access controls, and audit trail requirements in the context of AI-generated code.
- Bias toward rapid, iterative delivery: This role needs to produce working developer platform capabilities fast, shipping in weeks, learning from real usage, and improving continuously. We're looking for someone who builds momentum by delivering early wins, not someone who designs a complete system on paper before starting.
- Experience in healthcare technology or another heavily regulated industry.
- Familiarity with multi-model AI routing, model benchmarking, or model evaluation frameworks preferred.
- Experience with infrastructure as code (Terraform), containerization (Docker, Kubernetes/AKS), and cloud platforms (Azure preferred).
- Demonstrated ability to lead platform adoption and drive organizational change across engineering teams.
- Technical writing ability. This role produces documentation, guides, and standards that the entire team uses.
Benefits
- Medical (HSA available)
- Dental
- Vision
- Short-term & long-term disability (company-paid)
- Life & AD&D (company-paid)
- 401K with company match
- 10 paid holidays, quarterly company closure dates, + holiday week company closure
- Flexible time off policy
- Work from home
- 6 weeks paid parental leave
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