Why This Job is Featured on The SaaS Jobs
### Why this Role is Featured on The SaaS Jobs
Production Engineering is a core function in mature SaaS platforms where customer experience is defined by reliability as much as features. This Staff role sits at the intersection of software engineering and operations, with explicit emphasis on SLOs, incident learning, and release health verification. In a cloud data platform context, those concerns tend to be amplified by multi-tenant scale, distributed systems complexity, and always-on expectations.
For a long-term SaaS career, the work builds durable leverage: designing reliability mechanisms that scale across many services, creating automation that improves operational outcomes, and shaping engineering practices that reduce noise while increasing signal. Experience driving SLO adoption and blameless postmortems is broadly transferable across SaaS companies that are formalising platform maturity, and it complements product engineering by grounding decisions in production realities.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
The Production Engineering Team at Snowflake is responsible for driving the reliability tools and processes that ensure Snowflake consistently delivers a top-tier experience for its customers. This includes championing Service Level Objectives (SLOs) across all of Engineering, building the infrastructure necessary for rapid detection of reliability issues, and deeply engaging in system health verification after releases. We think about production reliability end-to-end: how do we proactively prevent issues, quickly detect and diagnose problems when they arise, and efficiently resolve them to minimize impact. We drive the culture of learning from every incident.
RESPONSIBILITIES:
Lead the improvement of the whole lifecycle of services—from inception and design, deployment, operation, and refinement.
Drive scaling systems sustainably by automation; Drive changes that improve reliability and velocity.
Establish and practice low noise incident response rotations and blameless postmortems to prevent problem recurrence.
Write and review code. Develop documentation and capacity plans, and debug the hardest problems on large distributed systems.
Collaborate with software engineers to establish, maintain, and optimize functional and performance SLOs.
Participate in a 24x1 on-call rotation.
MINIMAL QUALIFICATIONS:
Bachelor's degree in Computer Science, a related technical field involving software engineering, or equivalent practical experience.
Proficient in at least one modern programming language, preferably Golang.
Systematic problem-solving methods, effective communication skills.
PREFERRED QUALIFICATIONS:
10+ years industry experience designing, building and supporting large scale systems in production.
Experience in modern observability tools and production monitoring practices.
Experience with capacity and load testing of the distributed applications
Experience with containers and container orchestration systems such as Kubernetes
Experience in deploying, managing, and operating scalable and fault tolerant Linux infrastructure.
Experience with the SLO-driven reliability management processes.
Hands on experience with one of more public cloud providers (AWS, Azure, or GCP)
Ability to spot systematic issues, define roadmaps and guide other engineers to resolve them.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
