Senior Software Developer responsible for developing data pipeline solutions and scalable APIs at Autodesk. Collaborating with various teams to ensure data integrity and accessibility.
About the role
- Platform Architect designing and evolving Audi RED’s internal cloud platform and DevOps practices. Focusing on scalable, secure, and observable systems on AWS for enhanced digital experiences.
Responsibilities
- Design and evolve cloud-native platform architecture on AWS
- Define and implement DevOps standards, including CI/CD, release strategies, and automation
- Lead adoption of Infrastructure as Code (Terraform, CDK, CloudFormation)
- Establish observability and APM standards (Datadog, OpenTelemetry, etc.)
- Design and enforce secure-by-default architectures (IAM, networking, secrets management)
- Drive reliability and scalability across distributed systems
- Design and build the internal agentic platform
- Implement Model Context Protocol (MCP) or similar patterns
- Design agent orchestration patterns (multi-step workflows, tool calling)
- Implement RAG systems using internal data sources
- Establish best practices for prompt design and evaluation
- Build guardrails and safety mechanisms for AI systems
- Integrate agent workflows into internal services and APIs
- Establish end-to-end observability across platform and agent systems
- Optimize performance and cost across AWS and LLM usage
Requirements
- Strong experience designing cloud-native systems on AWS
- Experience with CI/CD and DevOps tooling
- Experience with Infrastructure as Code
- Strong understanding of cloud security (IAM, networking, secrets management)
- Experience operating distributed systems in production
- Experience with containerization and orchestration (Docker, Kubernetes/EKS)
- Familiarity with agentic workflows and orchestration patterns
- Understanding of Model Context Protocol (MCP)
- Experience with RAG or search-based systems
- Ability to design fault-tolerant systems
- Nice to Have AWS certifications
- Experience building internal developer platforms
- Familiarity with vector databases or retrieval systems
- Experience with LLM observability tooling
- Experience with SRE practices
- Exposure to policy-as-code or security automation tools
- Experience optimizing LLM usage (cost, latency, caching)
Benefits
- Work Life Balance: Additional shutdowns around holidays to allow us to reset and recharge so we come back better for our customers.
- Culture: We’re passionate about working collaboratively, bonding through team events, and most importantly having fun.
- We’re remote first, but love connecting and collaborating in-office.
- If you are an in-office creature, enjoy our beautiful shared office space in the heart of Downtown Toronto.
- Audi RED is committed to providing an environment that is inclusive and accessible. We are an equal opportunity employer and considers all applicants for employment without discrimination. Please let us know if accommodation for the recruitment/interview process is required and we will work with you to make sure your needs are met.
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