Senior Platform Support Engineer

Job Description for Senior Platform Support Engineer

and the job listing Expires on May 16, 2026

We are seeking a Senior Platform Support Engineer to join the Platform Services and Emerging Technology’s Developer Enablement Dev Rel group. The mission of Developer Enablement is to help internal developers build, test, deploy, and operate high-quality applications efficiently by providing reliable platforms, clear guidance, and hands‑on technical support.

The Dev Rel Support team works closely with internal engineering teams to unblock development, improve developer experience, and ensure effective adoption of Autodesk’s shared platforms and tooling, including Cloud

OS, CI/CD systems, deployment platforms, and observability solutions. We promote knowledge sharing, collaboration, and self‑service enablement so developers can take ownership of their work and deliver with confidence.

In this role, you will represent developer needs across the Americas, Canada, APAC, and EMEA regions by providing deep technical support and enablement for platform usage, onboarding, and day‑to‑day development workflows. You will work directly with developers to troubleshoot complex platform and pipeline issues, build and maintain enablement solutions, and partner with platform teams to continuously improve platform usability, reliability, and documentation.

You will also leverage automation and AI‑assisted tools to solve recurring problems, accelerate diagnostics, and reduce manual support effort—using AI pragmatically to improve how developers interact with platforms and how the team operates at scale.

This role is based in Dublin, Ireland.

• Provide advanced, hands‑on technical support for internal developers using shared platforms, CI/CD systems, and developer tooling
• Triage and resolve complex, non‑trivial issues across CI/CD pipelines (Jenkins, Cloud Bees, Git Hub Actions), deployment platforms (Cloud
  
  OS, Spinnaker, Kubernetes), Git Hub Enterprise, Artifactory, API platforms (Apigee / APIM), observability tools (Splunk), and AWS services
• Act as a senior escalation point for ambiguous or cross‑platform problems that require deep systems understanding and structured troubleshooting
• Perform root cause analysis for recurring platform and pipeline issues, and work with partner platform teams to drive durable fixes and improvements
• Partner closely with internal product, platform, and infrastructure teams to unblock delivery and improve the developer experience
• Identify common failure patterns and proactively reduce support load through better tooling, automation, documentation, and self‑service workflows
• Build or enhance internal scripts, tools, or automations to improve diagnostics, reduce manual effort, and speed up issue resolution
• Maintain and improve internal documentation, runbooks, and troubleshooting guides, capturing tribal knowledge and best practices
  Support and triage requests from shared Slack support channels, helping prioritize work and guide issues to resolution efficiently
• Mentor junior engineers and contribute to improving team processes, technical standards, and operational maturity
• Stay up to date with new technologies and trends in the industry

• 8+ years of experience in platform engineering, SRE, Dev Ops, or advanced technical support roles
• Strong written and verbal communication skills, with the ability to explain complex technical issues clearly to developers, platform teams, and stakeholders
• Demonstrated sense of ownership and responsibility: follows issues through to resolution, drives clarity in ambiguous situations, and ensures outcomes—not just responses
• Experience leveraging AI or machine‑learning‑assisted tools to automate analysis, summarize logs or failures, improve support workflows, or enhance developer enablement solutions
• Strong hands‑on experience with CI/CD systems (Jenkins/Cloud Bees, Spinnaker/Harness, Artifactory, Git Hub, or similar)
• Practical experience supporting Kubernetes‑based platforms and cloud deployments
• Solid understanding of AWS cloud infrastructure
• Solid understanding of observability concepts, including logs, metrics, and traces,…