Senior Platform Engineer with 6+ years of cloud infrastructure experience at Wagepoint. Designing Azure and managing Kubernetes for a reliable payroll SaaS platform.
About the role
- Principal Cloud Platform Developer at Autodesk driving developer enablement through cloud platforms and AI/ML solutions. Seeking a leader to design and evolve scalable systems for developer onboarding.
Responsibilities
- Own and drive the architecture and evolution of developer onboarding and enablement platforms
- Standardize and improve service deployment processes across application teams
- Accelerate onboarding and deployment timelines through scalable platform automation
- Design and implement cloud-native automation to reduce manual effort across onboarding workflows
- Build and support developer enablement tooling and internal platform services
- Provide hands-on technical guidance and support for developers using internal platforms
- Troubleshoot complex platform and integration issues across distributed systems
- Collaborate with application and platform teams to ensure evolving developer needs are met
- Design and implement AI/ML and agentic AI solutions to automate onboarding, enhance troubleshooting, and improve developer self-service capabilities
- Apply AI-driven automation to improve platform efficiency, reliability, and developer experience at scale
- Define and contribute to technical roadmap planning for platform modernization and automation initiatives
- Create and maintain high-quality technical documentation, runbooks, and enablement materials
- Stay current with emerging technologies in cloud platforms, AI/ML, and agentic AI systems
Requirements
- Bachelor’s or Master’s degree in Computer Science or related field
- 8+ years of experience building scalable cloud-native applications using Python, Node.js, or similar frameworks
- 8+ years of experience in cloud platforms (AWS preferred)
- 8+ years of experience designing and implementing CI/CD pipelines and SDLC automation (Jenkins, CloudBees, Spinnaker, etc.)
- 8+ years of experience with Infrastructure-as-Code and platform automation tools (Terraform, Helm, Ansible, etc.)
- Experience with containerized and distributed systems using Docker and Kubernetes
- Strong understanding of cloud networking, observability, and distributed system design
- Strong troubleshooting, debugging, and incident resolution skills
- Experience creating operational documentation (runbooks, engineering guides, system design docs)
- Strong collaboration and communication skills across engineering teams
- Hands-on experience building and deploying production AI/ML systems
- Experience with agentic AI systems or LLM-based automation workflows (tool use, orchestration, autonomous agents)
- Proven ability to operate at a Principal Engineer level, combining hands-on execution with architecture ownership and technical leadership.
Benefits
- Annual cash bonuses
- Stock grants
- Comprehensive benefits package
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