Senior Site Reliability Engineer

Autodesk

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Remote

Quick summary

Work type
Remote
Location
IdahoPlano, TX
Salary
$117,000–$209,330 / yr
Employment
Full-time
Posted
74 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $163k
$104k $238k
below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $145,000–$214,250 — the blue band above. At the midpoint, this role pays about $163k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Autodesk

Autodesk is a global leader in 3D design, engineering, and entertainment software, enabling users to imagine, design, and create a better world.

Autodesk currently has 31 open roles on FindRole.

Listed pay typically runs $142,425–$249,260 across 7 roles with salary data.

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View all roles at Autodesk

At a glance

TL;DR · Senior Site Reliability Engineer

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, manage incidents, and perform resilience testing to reduce operational toil. 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 position solves the complex problem of maintaining high availability and compliance within highly regulated, government-facing cloud infrastructures.

What does a Site Reliability Engineer earn?

Median $180200 from 121 postings across 36 companies.

See salary data

What you'll do

  • Own the reliability, availability, performance, and capacity of production services in Autodesk GovCloud.
  • 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 software tooling to improve deployment safety, incident response, and operational efficiency.
  • Implement and manage monitoring, alerting, logging, and observability capabilities across all supported services.
  • Lead incident response efforts and conduct post-incident reviews to drive 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 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, and automation.
  • Experience with AWS, Azure, or other public cloud platforms and Infrastructure as Code.
  • Experience developing automation using languages such as Python, Go, Java, PowerShell, or Bash.
  • Experience with containers, Kubernetes, cloud-native architectures, and distributed systems (preferred).
  • Experience with AWS GovCloud, FedRAMP, IL4/IL5, or other regulated cloud environments (preferred).
  • Experience with observability platforms such as Splunk, Dynatrace, Datadog, or CloudWatch (preferred).

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