Senior Software Engineer, Engineering Productivity
Snowflake is hiring a Senior Software Engineer, Engineering Productivity for a remote role open to applicants in Switzerland. Level rates it ; you can apply on Snowflake.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include AI agents.
- Level classifies it as a senior role.
- Level lists 356 other open roles at Snowflake.
AI in this role
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.
Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster.
Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms.
The Team:
We are hiring a Senior Software Engineer, Engineering Productivity for our Engineering team at Observe by Snowflake.
As part of Engineering Productivity at Observe by Snowflake, you will empower engineering teams across the organization by building scalable developer tools, robust build and test infrastructure, and automated release systems. Working at the intersection of developer experience, build systems, AI agent systems, and cloud infrastructure, you will play a critical role in driving engineering velocity and reliability at scale.
In this role your will:
Design, build, and maintain internal tooling, CI/CD pipelines, and AI agent based developer workflows
Build and scale test infrastructure and test execution frameworks to accelerate developer feedback loops
Improve developer velocity, developer and agent environment tooling, as well as local debugging/testing workflows
Partner with development, infrastructure, and SRE teams to streamline release engineering, deployment reliability, and artifact management
Monitor and optimize build times, test flakiness, and CI performance across the engineering organization
Qualifications:
5+ years of software engineering experience with a strong focus on engineering productivity, developer tooling, agentic workflows, build systems, or release engineering
Proven experience building and maintaining CI/CD systems, build orchestration tools (e.g., Bazel, Nix, Go build tooling), and test automation infrastructure
Strong proficiency in server-side languages such as Go, Python, Java, or C++
Hands-on experience with containerization, cloud infrastructure, and release automation
Deep interest in developer experience, developer velocity metrics, and building developer-facing products
Bonus Points:
Experience in backend application development
Experience with open-source developer tools, Kubernetes, or infrastructure-as-code
Experience with observability platforms, telemetry pipelines, or distributed tracing and logging systems (e.g., OpenTelemetry, Prometheus, Jaeger)
Open-source contributions to observability, data infrastructure, or developer productivity projects
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
How we rate this
Senior Software Engineer, Engineering Productivity at Snowflake rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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