Staff Software Engineer - Infrastructure
At Gusto, we are looking for a forward thinking technical leader to shape the next generation of our compute (Kubernetes) and networking (service mesh) platforms. This role is for someone who loves building foundational systems that empower hundreds of engineers to move faster, safer, and smarter. You will define the long-term vision for how services run and communicate at Gusto, ensuring reliability, scalability, and developer delight at every layer.
What You’ll Do
Define and drive the vision for Gusto’s compute and networking platforms by setting the strategy for Kubernetes, service mesh, and related systems that power our global SaaS platform
Lead architecture design, performance optimization, and security hardening of distributed systems at scale
Partner with engineering leaders to translate broad organizational goals into concrete, measurable technical outcomes
Treat infrastructure as a product by focusing on the developer experience, simplifying workflows, and accelerating delivery
Serve as a mentor and force multiplier by growing the skills of mid level engineers through coaching, pairing, and modeling best practices
Communicate with clarity by simplifying complex concepts and building alignment across teams and functions
Lead incident response and ensure our systems meet the highest standards of availability and resiliency
What You’ll Bring
12 or more years of experience in Infrastructure, Platform, or Site Reliability Engineering roles operating large scale distributed systems
Proven hands-on coding experience in production environments and the ability to contribute directly to system development and automation
Deep expertise running, scaling, and securing Kubernetes and service mesh technologies such as Istio, Envoy, or Cilium in production
A demonstrated record of designing highly available systems that balance reliability, observability, and developer velocity
Mastery of Infrastructure as Code using tools such as Terraform or Crossplane, with experience managing complex state for large engineering organizations
Experience owning and evolving twenty four seven SaaS infrastructure including monitoring, alerting, and performance analysis
A systems thinking mindset that identifies small levers capable of creating meaningful organizational impact
Curiosity and ability to operate in an AI-native environment using data and experimentation to continuously improve infrastructure and developer outcomes
Experience integrating AI copilots or automation frameworks into developer workflows to accelerate delivery and reduce operational burden
Exceptional communication skills that simplify complex ideas and bring teams together around a shared vision
A strong bias toward action, resilience in the face of ambiguity, and the ability to transform big ideas into real, impactful systems
Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.
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Staff Software Engineer - Infrastructure
At Gusto, we are looking for a forward thinking technical leader to shape the next generation of our compute (Kubernetes) and networking (service mesh) platforms. This role is for someone who loves building foundational systems that empower hundreds of engineers to move faster, safer, and smarter. You will define the long-term vision for how services run and communicate at Gusto, ensuring reliability, scalability, and developer delight at every layer.
What You’ll Do
Define and drive the vision for Gusto’s compute and networking platforms by setting the strategy for Kubernetes, service mesh, and related systems that power our global SaaS platform
Lead architecture design, performance optimization, and security hardening of distributed systems at scale
Partner with engineering leaders to translate broad organizational goals into concrete, measurable technical outcomes
Treat infrastructure as a product by focusing on the developer experience, simplifying workflows, and accelerating delivery
Serve as a mentor and force multiplier by growing the skills of mid level engineers through coaching, pairing, and modeling best practices
Communicate with clarity by simplifying complex concepts and building alignment across teams and functions
Lead incident response and ensure our systems meet the highest standards of availability and resiliency
What You’ll Bring
12 or more years of experience in Infrastructure, Platform, or Site Reliability Engineering roles operating large scale distributed systems
Proven hands-on coding experience in production environments and the ability to contribute directly to system development and automation
Deep expertise running, scaling, and securing Kubernetes and service mesh technologies such as Istio, Envoy, or Cilium in production
A demonstrated record of designing highly available systems that balance reliability, observability, and developer velocity
Mastery of Infrastructure as Code using tools such as Terraform or Crossplane, with experience managing complex state for large engineering organizations
Experience owning and evolving twenty four seven SaaS infrastructure including monitoring, alerting, and performance analysis
A systems thinking mindset that identifies small levers capable of creating meaningful organizational impact
Curiosity and ability to operate in an AI-native environment using data and experimentation to continuously improve infrastructure and developer outcomes
Experience integrating AI copilots or automation frameworks into developer workflows to accelerate delivery and reduce operational burden
Exceptional communication skills that simplify complex ideas and bring teams together around a shared vision
A strong bias toward action, resilience in the face of ambiguity, and the ability to transform big ideas into real, impactful systems
Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.
