Principal Applied AI Developer creating scalable ML infrastructure for Autodesk. Leading complex initiatives and defining technical strategy for AI capabilities.
About the role
- Senior Cloud Infrastructure Engineer managing operational excellence as part of the Infrastructure team for a tech company specializing in genomics workflows. A hands-on role focused on operational tasks, SRE work, and automation.
Responsibilities
- Monitor, respond to, and resolve production incidents and operational issues
- Manage routine operational tasks that currently consume team capacity (deployments, configuration changes, access management, maintenance windows)
- Participate in on-call rotation: Share responsibility for after-hours production support
- Work with support and development teams to troubleshoot and resolve platform issues
- Execute and validate infrastructure changes in production environments
- Update and improve documentation for operational procedures
- Handle patches, upgrades, certificate renewals, and other recurring operational tasks
- Monitor system health, respond to alerts, and maintain SLAs
- Spot repetitive manual work and build automation to eliminate it
- Create scripts, utilities, and self-service tools to reduce operational burden
- Improve observability to catch issues before they become incidents
- Reduce friction and manual steps in release and deployment workflows
- Enable developers to handle routine tasks without infrastructure team involvement
- Convert manual procedures into automated, repeatable infrastructure code (Terraform)
- Leave behind improved runbooks, automation, and processes
- Help quantify operational burden and demonstrate reduction over time
- Free up permanent team members for strategic initiatives
- Support development teams' infrastructure needs and unblock their work
- Capture operational knowledge and procedures that exist only in people's heads
- Provide clear documentation and knowledge transfer for systems and automation you build
- Participate in team rituals: Standups, retrospectives, and planning to stay aligned with team priorities
Requirements
- 5-8 years of experience in infrastructure, platform, SRE, or DevOps engineering
- Strong operational background: Experience managing production systems and handling incidents
- Proven toil reduction skills: Track record of identifying repetitive work and automating it away
- Strong expertise with cloud infrastructure (AWS strongly preferred)
- Proficiency with infrastructure-as-code (Terraform required)
- Experience with container orchestration (Kubernetes, Nomad, or similar)
- Experience with service mesh and service discovery (Consul, Istio, or similar)
- Experience with secrets management (Vault, Secrets Manager, or similar)
- Strong understanding of monitoring, alerting, and observability
- Comfortable with on-call work: Experience with incident response and production support
- Proven ability to onboard quickly and become productive in new environments
- Strong troubleshooting skills: Can diagnose complex system issues under pressure
- Self-directed work style: Minimal supervision required for operational work
- Bias for automation: Natural instinct to eliminate manual work.
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