Senior SRE: GovCloud Reliability Engineer (Remote)

Autodesk, Inc; Ohio; Remote; USD 117,000 - 209,000; Full time

Job summary

Autodesk GovCloud is seeking a Senior Site Reliability Engineer to help build and operate reliable, secure, and scalable cloud services in restricted environments. You will own reliability practices (SLOs/SLIs), automate deployment and incident response, and collaborate with product, security, and compliance teams to deliver trusted production services at scale.

This role requires strong technical judgment, bias for automation, and the ability to drive resilience while meeting regulatory

Qualifications

• BS or higher in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
• 7+ years of experience in Site Reliability Engineering, Software Engineering, Platform Engineering, Cloud Infrastructure, or Production Operations.
• Experience operating and supporting customer-facing production services in large-scale cloud environments.
• Strong understanding of SRE principles: SLOs/SLIs, observability, incident management, capacity planning, production readiness, and automation.
• Experience with AWS, Azure, or other public cloud platforms.
• Experience developing automation using languages such as Python, Go, Java, PowerShell, Bash, or similar.
• Experience with Infrastructure as Code, CI/CD pipelines, deployment automation, and modern cloud operations practices.
• Understanding of security, compliance, and operational risk management in production environments.
• Strong written and verbal communication skills.

Responsibilities

• Serve as a primary owner for the reliability, availability, performance, operability, and capacity of one or more production services.
• Deploy, operate, maintain, and continuously improve production services running in Autodesk GovCloud environments.
• Partner with engineering teams to ensure services are designed with reliability, scalability, security, and operability in mind.
• Define and operate reliability practices such as SLOs/SLIs, error budgets, production readiness reviews, service reviews, and operational health reviews.
• Build automation to improve deployment safety, operational efficiency, incident response, and service recovery.
• Design, develop, and maintain software, automation, and tooling that improve reliability, scalability, and efficiency of production systems.
• Implement and improve monitoring, alerting, logging, tracing, and observability capabilities across supported services.
• Lead and participate in incident response, troubleshooting, and post-incident reviews focused on learning and continuous improvement.
• Develop and maintain operational documentation, runbooks, and recovery procedures.
• Scale and enhance resilience testing and Gameday practices to validate system behavior, recovery capabilities, and operational readiness.
• Continuously identify and eliminate operational toil through software engineering, automation, and process improvement.
• Ensure supported services remain compliant with Autodesk security, privacy, and regulatory requirements, including FedRAMP where applicable.
• Participate in a 24x7 on-call rotation for production services.
• Function effectively in a fast-paced environment while helping establish and mature operational excellence practices.

Skills

SRE mindset

Cloud infrastructure

Automation

Python

Go

CI/CD

Infrastructure as Code

Observability

Incident management

Security & compliance

AWS/Azure

Kubernetes

Docker

Education

Bachelor's degree in CS or related field

Tools

Splunk

Dynatrace

Datadog

CloudWatch

Kubernetes

Terraform

Git

Job description

Autodesk GovCloud is seeking a Senior Site Reliability Engineer to help build and operate reliable, secure, and scalable cloud services in restricted environments. You will own reliability practices (SLOs/SLIs), automate deployment and incident response, and collaborate with product, security, and compliance teams to deliver trusted production services at scale.

This role requires strong technical judgment, bias for automation, and the ability to drive resilience while meeting regulatory