Senior Software Development Engineer

and the job listing Expires on June 12, 2026

Autodesk’s PLM engineering team is hiring a Senior Software Development Engineer, a backend developer who will own and accelerate developer productivity and the low-level modernization work that enables the next generation of our PLM platform. You will design and deliver platform-level solutions (build, CI/CD, testing, observability, developer tooling and workflows) that measurably reduce developer cycle time, increase release confidence, and scale across teams.

This role requires deep systems thinking, a pragmatic engineering approach, and the ability to influence and partner across architects, product, and multiple engineering teams.

• Own the technical modernization roadmap for backend developer productivity: define priorities, success metrics, and the execution plan
• Design and implement scalable, secure, and maintainable cross-cutting systems (builds, CI pipelines, test platforms, artifact/agent provisioning)
• Build, operate and iterate on developer platforms and tooling (multi-module build systems, CI caching, agent autoscaling, flaky test detection and mitigation)
• Diagnose and fix large, hard problems: slow builds, flaky tests, brittle integration flows, and bottlenecks that harm developer velocity
• Drive engineering excellence through strong design and code reviews, automated testing strategies, and operational best practices (SLOs, alerts, playbooks)
• Lead cross-team modernization initiatives-coordinate with Architects, Product Managers, UX, and other engineering groups to deliver platform capabilities that serve many teams
• Mentor and influence engineers and technical leads across teams: grow technical depth, shared ownership, and healthy engineering practices
• Adopt modern, pragmatic AI-assisted development practices by using AI coding agents to deliver production features, refactors, and fixes with strong verification (tests, CI, code review)
• Proactively surface and mitigate technical risks, performance issues, and operational limitations

• 10+ years of professional software engineering experience with a track record of delivering complex backend systems
• Strong proficiency in Java (JDK 17+), and demonstrable experience working in large, multi-module Java codebases
• Deep hands-on experience with Gradle (multi-module builds) and build system design
• Proven, practical experience owning health, reliability and performance of CI systems and pipelines (Jenkins Declarative/Scripted pipelines, agent-based Docker builds) and CI caching strategies
• Track record of diagnosing and resolving slow builds and flaky tests at scale and implementing pragmatic fixes and guardrails
• Strong systems thinking: experience with capacity planning for CI, agent provisioning/auto-scaling, and product ionizing developer tooling
• Experience integrating AI into developer workflows (AI-assisted development tooling and process, prompt engineering, model-backed services/APIs) and building developer UX around model behavior (explainability, sandboxing, versioned APIs)
• Strong understanding of privacy, security, and governance for ML systems (data minimization, PII handling, differential privacy or anonymization practices, model access controls)
• Experience designing observability for platform services and developer productivity metrics
• Excellent communication, stakeholder management and mentorship skills; ability to influence without formal authority
• Experience with Agile Software Development, Scrum, SAFe

• History of replacing or platformizing home-grown build tooling
• Experience with JUnit5/TestNG and Spring Boot modernization
• Prior ownership of developer platform(s) or developer experience initiatives with demonstrated impact (reduced cycle time, lower flake rate, or improved release cadence)

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