Senior Software Developer developing cloud and AI capabilities at Autodesk. Collaborating with cross - functional teams to enhance Autodesk's platform ecosystem.
About the role
- Senior technical contributor at Autodesk focusing on cloud data infrastructure and managing structured storage. Leading high-impact initiatives and influencing architecture decisions in the SRS platform.
Responsibilities
- Lead design and implementation of high-impact SRS platform capabilities: event platform CDC integration (Kafka), schema automation, Structured Record Access API, fleet management tooling
- Set technical direction for one or more SRS sub-areas: architecture standards, design reviews, raising the bar on how the team builds
- Continuously assess SRS cloud platform needs at scale, identify significant risks and gaps, and drive the roadmap to close them
- Own and improve fleet-wide operations: capacity management, monitoring and alerting, query tuning, load optimization, and data replication for reporting workloads
- Create and institutionalize best practices and health models for the database fleet; use observability tooling and AWS automation to enforce standards consistently across hundreds of managed databases
- Build a high-impact network of storage champions across engineering groups, consult directly with product teams and group leads on storage readiness and risk, and select training opportunities that raise engineering capability division-wide
- Own reliability for what you build: monitoring, runbooks, on-call response, post-incident learning
- Partner with SRS area leadership across managed database platform, DevEx, and data warehousing to sequence work and make cross-team tradeoffs
- Drive migration and schema lifecycle initiatives across the fleet, coordinating with product teams, managing rollout risk, validating rollback coverage
- Mentor P2/P3 engineers; conduct design and code reviews with real feedback
- Represent SRS technical requirements in cross-org forums: architecture review, group leadership
- Provide tactical leadership during production emergencies
Requirements
- 6+ years of software engineering in a platform, infrastructure, or data engineering context
- 5+ years of Kubernetes architecture at scale
- 7+ years of Terraform experience
- 7+ years of experience with cloud data technologies
- Deep Postgres or DynamoDB experience at scale: fleet-level operations, not application-level use
- Demonstrated ability to lead technical projects end-to-end: design through production
- Hands-on Kafka or event streaming experience in production; bonus if you've built CDC pipelines (Postgres binlog, DynamoDB Streams, Debezium)
- ORM experience at the framework or platform layer: you've built or extended ORM tooling to drive semantic eventing, not just consumed it
- Kubernetes CRD hands-on experience: designing or operating controllers/operators that manage platform resources
- Strong AWS background: IAM, RDS/Aurora, DynamoDB, ECS/EKS, multi-region
- Able to drive technical alignment across opinionated teams; you've gotten three engineers with different opinions to agree on an approach
- Infrastructure-as-code (Terraform) and GitOps deployment experience
- Strong communication and organizational skills; you can influence outcomes across teams, groups, and leadership.
Benefits
- Comprehensive benefits package
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