Senior Platform Engineer

Stack

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
• ▹Design and implement AI/ML and agentic AI solutions to automate onboarding, enhance troubleshooting and improve developer self-service
• ▹Contribute to technical roadmap planning for platform modernization and automation initiatives
• ▹Create and maintain 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 a 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)
• ▹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 Senior Engineer level, combining hands-on execution with architecture ownership and technical leadership

Nice to have

• ▹Experience building AI-powered developer tools or platform automation systems
• ▹Experience with AWS AI/ML services such as Bedrock or equivalent LLM platforms
• ▹Experience designing agent-based workflows for automation or developer productivity
• ▹Experience building large-scale distributed systems in production environments
• ▹Strong background in DevOps, platform engineering and infrastructure scalability
• ▹Experience with event-driven and microservices architectures
• ▹Familiarity with Agile/Scrum and modern CI/CD practices
• ▹Demonstrated experience improving developer experience (DevEx) at scale

Soft skills

About the company

Autodesk makes software that helps innovators turn ideas into reality, from green buildings and smart factories to hit movies. The company builds a culture of belonging.