Staff DevOps Engineer
$155,000–$210,000 year
On-siteDenver, Colorado, United States or Waukesha, Wisconsin, United States
Job Summary
Develop and own best practices for infrastructure creation, application scaling, monitoring, and CI/CD across Azure, AWS, or Google Cloud. Automate infrastructure and everyday toil while identifying inefficiencies to propose solutions. Mentor development and DevOps engineers on emerging trends, technical standards, and industry best practices. Drive technical strategy and roadmap for platform infrastructure, influencing engineering direction at the organizational level. Lead cross-functional initiatives as a technical authority for complex infrastructure challenges, defining and standardizing best practices for software delivery excellence at scale. Collaborate with senior engineering and product leadership to distill complex technical topics. Requires 10+ years of software engineering experience with 5+ in DevOps, including hands-on expertise in cloud architecture, infrastructure as code, and disaster recovery planning. Based in Colorado with a salary range of $155,000 - $210,000 USD.
Required Qualifications
- B.S. in Computer Science or Engineering or equivalent years of work experience
- 10+ years of non-internship experience in software engineering with at least 5 focused in DevOps
- Deep, hands-on expertise designing, implementing and operating cloud-based systems in Azure, AWS, or Google Cloud including advanced architecture and cost optimization
- Proven track record defining and scaling software delivery best practices, SDLC processes, and DevOps culture across engineering teams
- Passion for reliable, scalable, observable software with a strong sense of ownership
- Experience with infrastructure as code, preferably Terraform, and strong proficiency in containerization and container orchestration at production scale
- Proficiency in Python, Go, or a similar language for building automation tooling, internal platforms, and operational scripts
- Solid understanding of fundamental networking concepts (DNS, TCP/IP, load balancing, VPCs, firewalls, service mesh) and their application in cloud environments
- Proven ability to navigate ambiguity in complex infrastructure environments, applying incremental improvement, frequent deployment practices, and well-defined rollback strategies to reduce risk
- Hands-on experience designing and implementing disaster recovery strategies, including RTO/RPO planning, failover automation, backup validation, and regular DR testing
- Naturally curious, growth oriented, and able to influence technical direction without direct authority
- Demonstrated ability to mentor and develop engineers at multiple levels of seniority
- Experience leading platform or infrastructure strategy conversations with senior engineering and product leadership
- Strong written and verbal communication skills; ability to distill complex technical topics for non-technical stakeholders
- Remains deeply hands-on and willing to contribute directly to complex technical work alongside the team, not just through direction
- Sound judgment in the practical application of AI tooling—able to identify where AI accelerates delivery and quality, and where human expertise and oversight remain essential
- Occasional travel
Desired Qualifications
- Minimum Job Requirements Education B.S. in Computer Science or Engineering or equivalent years of work experience
- Work Experience 10+ years of non-internship experience in software engineering with at least 5 focused in DevOps
- Knowledge / Skills / Abilities Deep, hands-on expertise designing, implementing and operating cloud-based systems in Azure, AWS, or Google Cloud including advanced architecture and cost optimization
- Proven track record defining and scaling software delivery best practices, SDLC processes, and DevOps culture across engineering teams
- Passion for reliable, scalable, observable software with a strong sense of ownership
- Experience with infrastructure as code, preferably Terraform, and strong proficiency in containerization and container orchestration at production scale
- Proficiency in Python, Go, or a similar language for building automation tooling, internal platforms, and operational scripts
- Solid understanding of fundamental networking concepts (DNS, TCP/IP, load balancing, VPCs, firewalls, service mesh) and their application in cloud environments
- Proven ability to navigate ambiguity in complex infrastructure environments, applying incremental improvement, frequent deployment practices, and well-defined rollback strategies to reduce risk
- Hands-on experience designing and implementing disaster recovery strategies, including RTO/RPO planning, failover automation, backup validation, and regular DR testing
- Naturally curious, growth oriented, and able to influence technical direction without direct authority
- Demonstrated ability to mentor and develop engineers at multiple levels of seniority
- Experience leading platform or infrastructure strategy conversations with senior engineering and product leadership
- Strong written and verbal communication skills; ability to distill complex technical topics for non-technical stakeholders
- Remains deeply hands-on and willing to contribute directly to complex technical work alongside the team, not just through direction
- Sound judgment in the practical application of AI tooling—able to identify where AI accelerates delivery and quality, and where human expertise and oversight remain essential
- Occasional travel
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