Staff DevOps Engineer

Generac is committed to providing sustainable cleaner energy products and technology, and they are seeking a Staff DevOps Engineer to be a technical leader on the Industrial Cloud team. This role involves setting technical direction, mentoring engineers, and driving the evolution of DevOps practices to deliver scalable software and infrastructure.

Responsibilities:

• Develop and own best practices for infrastructure creation, application scaling, monitoring and CI/CD
• Automate everything from infrastructure to everyday toil; identify inefficiencies and propose solutions
• Enable software engineers to work efficiently throughout the development lifecycle to deliver reliable, observable software
• Mentor development and other DevOps engineers on emerging industry trends, technical standards, and DevOps best practices
• Drive technical strategy and roadmap for platform infrastructure, influencing engineering direction at the organizational level
• Lead and collaborate with the development team and other DevOps engineers across the organization to define, standardize, and evangelize best practices for software delivery excellence at scale
• Lead cross-functional initiatives, serving as a technical authority and primary decision-maker for complex infrastructure and platform challenges

Requirements:

• 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