Software Engineer - Observability Product
Dagster LabsRemote with offices in San Francisco, CA / New York, NY / Minneapolis, MN$190k – $220kPosted 26 March 2026
Job Description
About us
At Dagster Labs , our mission is simple but ambitious: to empower every organization to build a productive, scalable data platform. We’re the brains behind Dagster , the open-source tool developers love, and Dagster+ , our managed cloud. From scrappy startups to global enterprises, thousands of teams trust us to power the data behind their analytics, machine learning, and AI breakthroughs.
We believe the AI era runs on reliable, high-quality data. That’s why we make data platforms easier to test, easier to understand, and actually enjoyable to use. Dagster is quickly becoming the backbone of how the world builds intelligent systems, and the best AI companies are built on top of Dagster.
We’re a small, well-funded team with big energy and a track record of shipping software people rave about. We aim high and work as a team, holding ourselves to the highest standards and trusting each other to deliver. We care about how we work together: no egos, no drama, just a lot of curiosity and a drive to make something meaningful.
If you want to help shape the future of data and AI and have fun doing it, come build with us.
About the role
We’re looking for a product-minded software engineer to join the team working on Dagster+, our hosted SaaS product, to help make Dagster the de facto cloud solution for organizations to build, manage, and leverage their data assets. In this role, you will drive improvements to Dagster’s backend system, underlying open source framework, and product UI to unlock new capabilities for our users. You will solve difficult technical problems throughout the software stack and work collaboratively with the rest of the team to plan and execute. You will instrument, monitor, debug, and optimize distributed systems from end to end. You’ll talk directly to our users (data engineers and platform owners) to understand how best to improve our product.
This is a full-time, competitively paid position with benefits. We are a distributed team with offices in San Francisco, New York, and Minneapolis. We have team members all over the U.S. and we are hiring fully remote candidates in the U.S. Every employee is provided a remote work stipend to cover the cost of home office equipment and anything else that makes your remote work location comfortable, productive, or successful. And if you’d rather not work from home, we’ll cover the cost of a coworking or office space if you’re fully remote.
Responsibilities
Lead and execute product development initiatives from prototype to user adoption, in collaboration with product and design and your peers in engineering
Participate in technical architecture discussions and help the team make key technical decisions.
Solve difficult technical problems throughout the software stack and get projects over the finish line, across front-end, back-end, or infrastructure.
Proactively identify and address opportunities for enhancement—be it in code quality, user experience, or overall performance—and lead initiatives to make these improvements happen.
Must-have Qualifications
5+ years of relevant software development experience
Fluency in Python or a similar high-level programming language, and proficiency with frontend development (we use React)
Expertise across the full software development lifecycle, from planning to delivery and iteration
Experience in a high-functioning engineering organization working on B2B SaaS applications or large-scale distributed systems
Strong written and oral communication skills
Proven effectiveness at contributing to and executing as part of a team
Nice-to-have Qualifications
Interest in progressing into a tech lead role, and relevant experience
Experience building services on Amazon Web Services, Kubernetes Postgres
Experience with Dagster or related data orchestrators.
Experience with using or supporting tools in the Modern Data Stack
Experience engaging directly with users for research and support.
Our Stack
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