✦ Luna Orbit — Cloud & Infrastructure

Sr. Staff Platform Engineer

at eHealth

📍 Remote, US Remote 💰 $161K – $201K USD / year Posted April 14, 2026
Salary $161K – $201K USD / year
Type Full-Time
Experience senior
Exp. Years 12+ years
Education Not specified
Category Cloud & Infrastructure

You will architect and scale AWS-based internal developer platforms that help teams build, deploy, and operate applications efficiently. The role emphasizes self-service infrastructure, automated workflows, continuous delivery, and enabling AI/ML workflows through AIOps and MLOps.

  • Lead design and continuous improvement of the Internal Developer Platform
  • Build self-service infrastructure and automated workflows
  • Implement AIOps and MLOps capabilities for AI/ML workflows
  • Create ChatOps interfaces and maintain automation frameworks
  • Standardize services, templates, and APIs to streamline cloud application development

This is a platform engineering role focused on Internal Developer Platforms (IDPs) with AI and ML capabilities on AWS Cloud. You will deliver ChatOps interfaces, automation frameworks, standardized services/templates/APIs, and CI/CD-style continuous delivery systems while ensuring performance, scalability, security, and cost efficiency.

The ideal candidate is a senior, hands-on platform engineer with 12+ years of experience building Internal Developer Platforms (IDPs) on AWS Cloud and strong networking knowledge. They have delivered AIOps and MLOps capabilities via self-service infrastructure, automated workflows, and continuous delivery systems, and can lead platform architecture while improving developer experience through ChatOps and automation frameworks.

12+ years of experience specializing in AWS Cloud and Network and the development of Internal Developer Platforms (IDPs) with AI and ML capabilities.Architectbuildand scale cloud-native platforms that empower engineering teams to developdeploy and operate applications efficiently.Direct impact on AIOps and MLOpscreating self-service infrastructureautomated workflowsand continuous delivery systems.Ensure performancescalabilitysecurityand cost-efficiency in AWS cloud environments.Lead the designdevelopmentand continuous improvement of an Internal Developer Platform that integrate with AI/ML workflows which enables engineers to autonomously manage and deploy cloud-based servicestoolsand applications.Create ChatOps interfaces and maintain self-service tools and automation frameworks.
AWS CloudChatOpsAPIs
AWS CloudInternal Developer Platforms (IDPs)AIOpsMLOpsself-service infrastructureautomated workflowscontinuous delivery systemsChatOps interfacesself-service toolsautomation frameworksstandardized servicestemplatesAPIsdeveloper experienceAI/ML workflows integrationinfrastructure provisioning
AWS CloudnetworkInternal Developer Platforms (IDPs)AI and ML capabilitiesAIOpsMLOpsself-service infrastructureautomated workflowscontinuous delivery systemsperformancescalabilitysecuritycost-efficiencyplatform engineeringcloud-native platformsapplication development platformsChatOps interfacesautomation frameworkstemplatesAPIsAI/ML workflows integrationinfrastructure provisioningdeploy codedeveloper experiencecontinuous improvement
hands-on technical leadershipcross-team collaborationarchitectingmentoring and guidingenabling autonomous teamsfocus on developer experiencedesigning frictionless internal platformsstakeholder collaborationproblem-solving
Industry SaaS
Job Function Architect and build AWS Cloud internal developer platforms (IDPs) that improve developer productivity and operationalize AIOps and MLOps.
Role Subtype Platform Engineer
Tech Domains Amazon Web Services, Cybersecurity
Sr. Staff Platform EngineerStaff Platform EngineerPlatform EngineerInternal Developer Platforms (IDPs)IDPAWS Cloudnetworkcloud-native platformsAIOpsMLOpsself-service infrastructureautomated workflowscontinuous delivery systemscontinuous improvementChatOps interfacesself-service toolsautomation frameworksstandardized servicestemplatesAPIsinfrastructure provisioningdeploy codedeveloper experienceAI/ML workflowsAI and ML capabilitiesfrictionless internal platformChatOps

Must have 12+ years experience specializing in AWS Cloud and Network, Must have experience building Internal Developer Platforms (IDPs) with AI and ML capabilities

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