Senior Site Reliability Engineer
As a Senior Site Reliability Engineer at Autodesk, you will join a new team supporting Autodesk GovCloud products. You will help establish the operating model, reliability practices, and engineering standards for production services in restricted cloud environments. Your daily responsibilities include deploying, monitoring, and automating services while ensuring reliability, scalability, and security. You will define SLOs, SLIs, and error budgets, manage incident responses, and perform resilience testing. The role requires proficiency with AWS, Azure, or other public cloud platforms, along with experience in Python, Go, Java, PowerShell, or Bash. You will utilize Infrastructure as Code, CI/CD pipelines, and observability tools like Splunk, Dynatrace, or Datadog. This role solves the technical challenge of maintaining high availability and compliance within regulated GovCloud environments.
What does a Site Reliability Engineer earn in California?
Median $202800 from 62 postings across 16 companies.
Own the reliability, availability, performance, and capacity of production services in GovCloud environments.
Deploy, operate, and maintain production services while ensuring they meet scalability and security requirements.
Define and manage reliability practices including SLOs, SLIs, error budgets, and production readiness reviews.
Build automation and tooling to improve deployment safety, incident response, and operational efficiency.
Implement and manage monitoring, alerting, logging, and observability capabilities across supported services.
Lead incident response, troubleshoot production issues, and conduct post-incident reviews for continuous improvement.
Develop and maintain operational documentation, runbooks, and disaster recovery procedures.
Execute resilience testing and Gameday practices to validate system behavior and recovery capabilities.
What we're looking for
Must be a U.S. Citizen.
Must be able to obtain and maintain necessary government-issued security clearances.
B.S. 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 reliability engineering principles, including 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.
10+ years of experience operating highly available, customer-facing production systems (preferred).
Experience with AWS GovCloud, FedRAMP, IL4/IL5, or other regulated cloud environments (preferred).
Experience with containers, Kubernetes, cloud-native architectures, APIs, load balancing, networking, DNS, and distributed systems (preferred).
Experience with observability platforms such as Splunk, Dynatrace, Datadog, CloudWatch, or similar technologies (preferred).
Windows Server
Linux
Python
PowerShell
Bash
Ansible
Chef
Oracle Cloud Infrastructure
infrastructure-as-code
DNS
Firewalls
Load Balancers
STIG
Certificates
Incident Response
Citrix
Monitoring
Logging
Linux
Windows Server
Python
PowerShell
Bash
Ansible
Chef
Oracle Cloud Infrastructure
infrastructure-as-code
DNS
Firewalls
Load Balancers
STIG
Incident Response
root-cause analysis
Certificates
Citrix
Monitoring
Logging
Windows Server
Linux
Python
PowerShell
Bash
Ansible
Chef
Oracle Cloud Infrastructure
OCI
DNS
Firewalls
Load Balancers
Certificates
STIG
Citrix
infrastructure-as-code
incident-management
Monitoring