About this role
Lead technical direction for Autodesk's Structured Record Storage platform, managing database fleet operations (Postgres, DynamoDB), event streaming (Kafka), and cloud infrastructure at scale. Drive architecture decisions, schema lifecycle automation, and platform standards across hundreds of production databases in AWS.
Must have
6+ years software engineering in platform, infrastructure, or data engineering
5+ years Kubernetes architecture at scale
7+ years Terraform experience
7+ years cloud data technologies experience
Deep Postgres or DynamoDB fleet-level operations experience
Demonstrated ability to lead technical projects end-to-end
Hands-on Kafka or event streaming experience in production
ORM framework or platform layer experience
Kubernetes CRD hands-on experience with controllers or operators
Strong AWS background including IAM, RDS, Aurora, DynamoDB, ECS, EKS, multi-region
Infrastructure-as-code and GitOps deployment experience
Strong communication and organizational skills across teams and leadership
Technologies
Responsibilities
Lead design and implementation of high-impact SRS platform capabilities
Set technical direction for SRS sub-areas and architecture standards
Assess SRS cloud platform needs at scale and drive roadmap to close gaps
Own and improve fleet-wide operations including capacity and monitoring
Create best practices and health models for the database fleet
Build network of storage champions across engineering groups
Own reliability including monitoring, runbooks, and on-call response
Partner with SRS leadership across managed database, DevEx, and data warehousing
Drive migration and schema lifecycle initiatives across the fleet
Mentor P2 and P3 engineers and conduct design and code reviews
Represent SRS technical requirements in cross-org forums
Provide tactical leadership during production emergencies
Recruitment process
Structured Record Storage group owns shared data persistence layer for AEC
Manages entire database fleet across all production regions
Owns schema lifecycle from migration through regional deployment
Emits semantic events into Kafka for downstream teams
Platform-grade function defining storage standards and compliance tooling
Significant autonomy with influence across architecture decisions
French and English job posting provided
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