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Site Reliability Engineer Remote Jobs in Colorado

Site Reliability Engineer II

Denver, CO ยท On-site +1

$98.58K - $138.02K/yr

The Site Reliability Engineer II will be responsible for supporting, enhancing, and maintaining ... Wellness initiatives #BI-Remote DYN365, Inc d/b/a Restaurant365 is an equal opportunity employer.

Site Reliability Engineer II

Denver, CO ยท On-site +1

$98.58K - $138.02K/yr

The Site Reliability Engineer II will be responsible for supporting, enhancing, and maintaining ... Wellness initiatives #BI-Remote DYN365, Inc d/b/a Restaurant365 is an equal opportunity employer ...

Site Reliability Engineer II

Denver, CO ยท On-site +1

$58.75 - $78/hr

Role Summary We are seeking a Site Reliability Engineer II to support the reliability, scalability, and performance of critical production services. This role contributes to the full-service ...

DevOps/SRE Engineer

Denver, CO ยท On-site +1

$130K - $155K/yr

DevOps/SRE Engineer Department: Engineering Employment Type: Full Time Location ... Denver, Colorado (Remote) Compensation: $130,000 - $155,000 / year Description We're looking for a ...

Remote AI Training Engineer & SRE

Denver, CO ยท Remote

$58.75 - $78/hr

A tech company specializing in AI is seeking proficient programmers to join their remote team. As part of a broader coding community, you will tackle diverse programming tasks, focusing on designing ...

Senior Network Automation Engineer

Boulder, CO ยท Remote

$107.90K - $147.80K/yr

This position is remote and can be based anywhere in the US or Canada** Responsibilities: Alarming ... Work closely with network engineering, DevOps, SRE, and system administration teams to identify ...

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Site Reliability Engineer Remote information

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$67

$96

How much do site reliability engineer remote jobs pay per hour?

As of May 28, 2026, the average hourly pay for site reliability engineer remote in Colorado is $67.03, according to ZipRecruiter salary data. Most workers in this role earn between $57.64 and $76.59 per hour, depending on experience, location, and employer.

What is a Site Reliability Engineer Remote job?

A Site Reliability Engineer (SRE) in a remote role is responsible for ensuring the reliability, performance, and scalability of software systems while working from a remote location. They bridge the gap between development and operations by implementing automation, monitoring, and incident response strategies. Remote SREs collaborate with distributed teams to improve infrastructure, troubleshoot issues, and optimize system performance. Strong communication skills, proficiency in cloud technologies, and expertise in software development are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Site Reliability Engineer Remote position, and why are they important?

To thrive as a Site Reliability Engineer Remote, you need expertise in systems administration, cloud infrastructure, automation, coding (often in Python or Go), and a solid grasp of networking fundamentals, usually demonstrated with a degree in computer science or equivalent experience. Familiarity with tools such as Docker, Kubernetes, AWS/GCP/Azure, monitoring platforms like Prometheus, and certifications like AWS Certified SysOps Administrator are highly valued. Excellent problem-solving, communication, and collaboration skills are essential, especially when troubleshooting incidents and passing information across distributed teams. These abilities ensure reliable, scalable services and smooth coordination in a remote work environment.

What are some common challenges faced by Site Reliability Engineers working remotely, and how are they addressed?

Site Reliability Engineers working remotely may encounter challenges like coordinating across multiple time zones, maintaining clear communication during urgent incidents, and managing complex systems without direct on-site access. These are often addressed by leveraging collaborative tools (like Slack, Zoom, and incident management platforms), implementing well-documented processes, and participating in regular team syncs or on-call rotations. Remote SREs also benefit from automation and observability practices that provide in-depth systems insights without needing physical presence. Many organizations support their success through robust onboarding, continuous training, and establishing clear lines of communication for rapid response scenarios. This blend of technical and teamwork strategies helps remote SREs maintain service reliability and stay connected with their colleagues.
What are the most commonly searched types of Site Reliability Engineer jobs in Colorado? The most popular types of Site Reliability Engineer jobs in Colorado are:
What cities in Colorado are hiring for Site Reliability Engineer Remote jobs? Cities in Colorado with the most Site Reliability Engineer Remote job openings:
Infographic showing various Site Reliability Engineer Remote job openings in Colorado as of May 2026, with employment types broken down into 77% Full Time, 16% Part Time, and 7% Contract. Highlights an 71% Physical, 1% Hybrid, and 28% Remote job distribution, with an average salary of $139,413 per year, or $67 per hour.

Senior Site Reliability Engineer (Remote USA)

TechInsights

Denver, CO โ€ข On-site, Remote

$149.10K - $157.80K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

OUR STORY
TechInsights is the information Platform for the semiconductor industry.
Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights' content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry-past, present, or future.
Over 650 companies and 150,000 users access the TechInsights Platform, the world's largest vertically integrated collection of unmatched reverse engineering, teardown, and market analysis in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights' customers include the most successful technology companies who rely on TechInsights' analysis to make informed business, design, and product decisions faster and with greater confidence. For more information, visit www.techinsights.com.
WHY WORK WITH US
  • Company-sponsored training and development opportunities
  • Comprehensive benefits package (health, dental, vision, wellness, 401K Matching, annual fitness reimbursement)
  • Flexible vacation policy
  • Community involvement opportunities through charitable alliances: https://www.techinsights.com/community-involvement
  • Wellness resources and support
  • Inclusive environment that prioritizes diversity, equity, and accessibility
  • High-growth company driven by high performance
  • Expected salary range: $149,100 - $157,800 USD

THE OPPORTUNITY:
TechInsights is building the reliability and AI operations foundation for its next chapter - an AI-first intelligence platform that runs the most demanding semiconductor intelligence workflows in the world. We're looking for a Senior Site Reliability Engineer who wants to own that foundation.
This is a senior individual contributor role at the technical leadership tier of our Site Reliability Engineering team. You'll own strategic reliability initiatives end-to-end: setting technical direction, defining SLOs and error budgets across our production platform, designing reliability patterns for the AI agent pipelines that power our platform's AI-first capabilities, and enabling our development and AI Engineering teams to build and ship with confidence.
What sets this role apart is its scope. You're not just keeping the lights on - you're building the observability, Internal Developer Platform (IDP), and service catalog that a fast-scaling AI platform needs from day one. You'll be the reliability voice in architectural decisions, the engineer who closes the loop between agent failure modes and platform resilience, and the mentor who builds the team's capability rather than their own indispensability.
If you have deep SRE experience and want to apply it to AI workloads - agent loop observability, blast radius management, LLM infrastructure reliability - this is the role where that expertise becomes a differentiator.
This role is a remote role for candidates based in the United States.
WHAT YOU'LL DO
Platform Reliability & AI Operations
  • Own SLOs, SLIs, and error budgets for all production services; drive error budget discipline across engineering
  • Design reliability patterns for AI agent pipelines: LLM observability, tool-use tracking, failure detection, and graceful degradation
  • Architect for blast radius containment - agent failures must have bounded customer impact through isolation, circuit breaking, and rapid recovery
  • Mature our Canada Central/West active-active architecture toward 24-hour RTO with full regional failover
  • Lead incident response and post-incident reviews that produce durable fixes; maintain DR procedures through regular testing
Developer & AI Engineering Enablement
  • Serve as the primary reliability liaison to Software and AI Engineering, translating requirements into actionable standards
  • Partner with AI Engineering on compute provisioning, model serving, inference latency, and workload isolation
  • Own CI/CD pipeline strategy (Bitbucket Pipelines, GitHub Actions) - set standards, optimize deployment frequency, and ensure teams can ship confidently
  • Drive IDP adoption and enable teams on SRE practices: on-call readiness, SLO definition, runbook development, and self-service tooling
  • Represent reliability in architectural discussions; surface risk before it's committed to design
Observability, IDP & Service Catalog
  • Own the service catalog - a living inventory of all services, AI agents, dependencies, ownership, and SLOs
  • Operate Datadog as the single pane of glass for service health, infrastructure, and agentic pipeline telemetry
  • Extend observability to AI workloads: LLM latency, token consumption, agent completion rates, and pipeline throughput
  • Build golden path templates in Backstage and/or Atlassian Compass so teams ship reliably without routine SRE involvement
  • Apply AIOps in Datadog to automate anomaly detection, incident triage, and remediation recommendations
FinOps, IaC & Continuous Improvement
  • Own infrastructure as code via Terraform and GitOps; enforce IaC policy in partnership with Trust Assurance
  • Own FinOps visibility into AWS cost segments; model cloud cost impact as AI/ML workloads scale
  • Formally mentor junior and intermediate SRE engineers, with accountability for their technical growth and career progression
  • Build AI-assisted automation to progressively reduce toil and scale the team's operational capacity

WHAT YOU'LL BRING
Technical Requirements
  • Bachelor's degree in Computer Science, Engineering, or equivalent combination of education and experience
  • 6-8 years of progressive experience in site reliability engineering, platform engineering, or DevOps, with demonstrated technical leadership at the senior individual contributor level
  • Deep expertise in AWS (EKS, Lambda, CloudWatch, AWS Config) and multi-region architecture patterns
  • Proficiency with Terraform and GitOps; experience with policy-as-code (Sentinel, OPA/Rego, or equivalent)
  • Hands-on Datadog experience at operational depth: dashboards, SLO tracking, alerting, log management, distributed tracing
  • Strong containerization expertise: Docker, Kubernetes (EKS preferred)
  • Proficiency in Python and/or Bash; experience building operational tooling; solid understanding of Java and Spring Boot microservice architecture sufficient to make reliability and deployment decisions for EKS-hosted services
  • Deep expertise in CI/CD pipeline design and optimization using Bitbucket Pipelines and GitHub Actions
  • Familiarity with IDP tooling (Backstage, Atlassian Compass, or equivalent) strongly preferred
  • Experience with AI/ML workload infrastructure, LLM API integration, or agentic system operations considered a strong asset
Professional Skills
  • Leads and owns strategic reliability initiatives end-to-end with a high degree of autonomy; accountable for outcomes, not just tasks
  • Sets technical direction and influences team and department strategy
  • Solves complex, ambiguous reliability problems through systematic analysis and first-principles thinking
  • Formally mentors junior and intermediate engineers; builds team capability through coaching and knowledge transfer
  • Communicates technical reliability concepts clearly to engineering, product, and leadership audiences
  • Approaches operational work with an AI-first posture: builds automation and intelligent tooling as the default
Preferred Qualifications
  • Experience designing reliability architecture for agentic AI systems: agent loop observability, blast radius isolation, graceful degradation for LLM-dependent services
  • AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent
  • FinOps Certified Practitioner or demonstrated cloud cost management experience at scale
  • IDP implementation or developer experience program leadership
  • Experience in semiconductor, SaaS, or data-intensive platform environments
  • Experience operating in environments with export-controlled or regulated data
  • Knowledge of BCP/DR program management and formal recovery testing

As part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency information. This information will be used to comply with U.S. Export Control Laws and Regulations.
WORKING ARRANGEMENT
This is a remote position for candidates based in the United States. Occasional travel may be required.
Technology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. We're committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together.
TechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
AI technology may be used to assist in the screening and assessment of applications for this position. Our recruiters are involved at every stage, and all hiring decisions are made by People and hiring teams.
As part of any recruitment process, TechInsights collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. Our Privacy policy can be referenced here: https://www.techinsights.com/privacy-policy