Senior Software Development Engineer

Autodesk is a company that creates innovative software for various industries. They are seeking a Senior Software Development Engineer to design, build, and operate cloud-native services that enhance infrastructure automation and operational workflows across multiple cloud providers.

Responsibilities:

• Design and develop serverless and containerized services using Go and Python
• Build and operate microservices using cloud-native compute platforms across AWS, Azure, and GCP (e.g., Lambda, Azure Functions, ECS/Fargate, managed container services)
• Implement Infrastructure as Code using Terraform to manage multi-account and multi-project cloud environments
• Develop and maintain CI/CD pipelines using Jenkins and CloudOS
• Build event-driven workflows using cloud-native messaging and orchestration services
• Implement scalable data persistence using managed databases and object storage services
• Contribute to security and compliance controls
• Implement monitoring, logging, and tracing using cloud-native observability tools and custom metrics
• Support AI-assisted observability initiatives, including intelligent alerting, anomaly detection, and signal correlation using telemetry data
• Optimize services for reliability, performance, and cost across cloud providers
• Participate in on-call rotations and production incident response
• Build and enhance automated cloud account and project provisioning workflows
• Develop self-service APIs for infrastructure requests and governance
• Implement cross-account and cross-project identity and access controls
• Create reusable Terraform modules and service templates
• Build and maintain Docker images and manage deployments via container registries

Requirements:

• 5+ years of experience building and operating production software systems
• Strong proficiency in Go or Python
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
• Experience designing systems intended to run across multiple cloud environments
• Experience with Terraform or CloudFormation
• Experience with Docker and containerized workloads
• Familiarity with CI/CD tools (Jenkins, GitHub Actions)
• Solid understanding of REST APIs, microservices, and event-driven design
• Experience working in Git-based, collaborative engineering environments
• Bachelor's degree in computer science, Engineering, or equivalent practical experience
• Experience with multi-cloud architectures spanning AWS, Azure, and GCP
• Experience with regulated or compliance-driven environments
• Experience working with observability data (metrics, logs, traces)
• Exposure to AI-powered observability or AIOps tools
• Knowledge of cloud identity systems and governance models
• Familiarity with Kubernetes fundamentals and container orchestration concepts
• Exposure to managed Kubernetes platforms (EKS, AKS, GKE)