MO

Software Engineer - Infrastructure

MotherDuck

San Francisco, USonsite$140k-$250k/yrPosted Jul 9, 2026
Posting intelligenceActively listed

Skills

kubernetesprometheusterraformgrafanapythoncsscicdawsgo

About the role

About MotherDuck

Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans.

We're shaking up assumptions on how data should be done! We empower and delight data practitioners using a novel cloud architecture. We believe in the power of single node databases, built on top of DuckDB, an open source foundation with a vibrant community.

Our engineering team comes from a wide mix of backgrounds... running the gamut from data experts to generalists, from big tech to startups, and SaaS companies to government and finance. But no matter where we've come from, we're passionate, collaborative and customer-focused. We work together as a team from across our engineering hubs in Seattle, San Francisco, New York, and Amsterdam.

MotherDuck's infrastructure team builds the systems and tools that make our platform reliable, secure, and easy to operate. We run our platform on Kubernetes, so if you're someone who genuinely enjoys living in K8s... debugging cluster issues, tuning autoscaling, thinking through multi-tenancy and workload isolation... this is a team built for you.

If you're energized by a blend of cloud systems work, software development, and operational strategy, we'd love to hear from you.

This role can be based in our Seattle, San Francisco or New York offices

What you will do

Own and evolve our Kubernetes platform, including cluster architecture, upgrades, multi-tenancy, and workload isolation

Build and maintain infrastructure components using Go and Python across compute, networking, and storage

Design and improve CI/CD pipelines that enable safe and fast software delivery

Implement observability tooling and dashboards that surface system health and improve oncall effectiveness

Automate operational workflows, especially around K8s operations, to reduce manual intervention and increase consistency

Collaborate with product and backend teams to embed operational best practices into product development

Participate in incident response and ongoing efforts to improve system reliability and security

Example Projects

Autoscaling our Kubernetes clusters in the EU region and building out private link networking

Designing secure CI/CD pipelines with observability baked in from the start

Building logging frameworks that make cross-system debugging way less painful

What we're looking for

Hands-on Kubernetes experience... you've operated clusters in production, not just deployed workloads onto them

Experience working with cloud-native infrastructure more broadly (AWS, Terraform, service meshes, etc.)

Programming skills in Go and/or Python, and the ability to design systems that are secure, scalable, and maintainable

Familiarity with observability tooling such as Prometheus, Grafana, or OpenTelemetry

A real sense of ownership and a pragmatic approach to engineering tradeoffs

Interest in building internal tools and automation to make development and operations easier for others

What people should be saying if you're doing ducking awesome

"Their automation saved me hours this week, and I didn't even have to ask."

"Our oncall pages are quieter because of the systems they built."

"They made our CI/CD pipeline so smooth I almost miss the old chaos... almost."

"Every dashboard they touch actually tells me something useful."

"Our K8s clusters just work, and when they don't, they're already three steps ahead of the fix."

What We Provide

Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success.

Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 80% coverage for dependents (because we care about your whole nest).

Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond.

401k plan – because even ducks need to plan for the future.

Hybrid work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time.

Our Process

Round 1: Interview with our Talent Partner (30min)

Round 2: Two technical focused interviews with members of our Engineering Leadership team

Round 3: Values interview with our CEO/Founder (45min)

Please Apply

Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified? Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications.

Compensation Range: $140K - $250K

Compensation

This Software Engineer role pays $140k-$250k/yr. Within typical range for software engineer roles in United States.

Questions about this role

Click "Apply with AI Applyd" above and you are done. Your resume is rewritten for this advert, the screening questions are answered, and it is submitted on MotherDuck's own hiring system. No retyping your history, no fourteen tabs, no evening lost.

Compensation for Software Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Software Engineer hub for United States medians across recent openings.

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