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Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
At Astronomer, our R&D organization is dedicated to providing an exceptional experience in operating data orchestration based on Apache Airflow at many of the world’s largest companies. As we continue to grow, we are looking to solve highly complex technology problems through inventive algorithms and world-class practices around scale.
We are building out a world-class Observability team to deliver data observability capabilities that provide our customers visibility, reliability, and actionable insights into their data pipelines and products across some of the world’s largest enterprises.
We are seeking an experienced Staff Software Engineer to join this effort. In this role, you will contribute directly to the design, development, and scaling of Astronomer’s observability platform, collaborating closely with product, design, and cross-functional engineering teams. Your work will have a direct impact on our customers and the future of the platform.
Lead the end-to-end architecture and evolution of major platform components, making foundational design decisions that will shape the long-term direction of the observability platform.
Build scalable, reliable, and performant features that provide visibility into customer data pipelines.
Collaborate closely with product, design, and engineering teams to define and deliver high-impact initiatives.
Write high-quality, maintainable code while following best practices in testing, CI/CD, and operational excellence.
Set and champion engineering standards for code quality, testing, design, and operational excellence across the team.
Help improve and evolve the observability platform’s tooling, infrastructure, and processes.
Lead and coordinate responses to complex production incidents, guiding the team towards rapid resolution and long-term improvements.
Proactively identify technical opportunities, risks, and gaps - and drive initiatives to address them.
Mentor engineers of all levels through design reviews, pairing, and feedback, and contribute to the professional growth of the team.
Strong technical experience building complex distributed systems, preferably with Golang, Python, Kubernetes, SQL/OLAP databases, and stream processing.
Hands-on experience designing, developing, and scaling production infrastructure.
Excellent collaboration and communication skills to work effectively across teams.
Focus on delivering customer value through thoughtful technical solutions.
Enthusiasm for contributing to a healthy, inclusive engineering culture and supporting the growth of teammates.
Comfort working in areas of high ambiguity, able to break down open-ended problems and drive them to completion with clarity and structure.
Experience building or scaling data observability products.
Familiarity with Apache Airflow or similar workflow orchestrators.
Background in observability, monitoring, or infrastructure at scale (e.g., Datadog, Honeycomb, or similar).
The estimated salary for this role ranges from $200,000 - $230,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.
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At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Astronomer is a data engineering platform that collects, processes and unifies your enterprise data, so you can get straight to analytics, data science and-more importantly-insights. Basically, Astronomer makes it easy to capture data from any source and send it to any location to tee up your organization for insights. Maybe you need to start by seeing all your data in one place. Maybe you're ready to test out predictive analytics or run artificial intelligence. With access to the right insights, every company has the opportunity to do business best. Founded in 2015, we've created a hybrid integration platform that supports cloud and on-premises requirements simultaneously and runs all variations of enterprise ETL workloads. In other words, a unified approach to an integrated landscape, offering both custom and packaged solutions, while leaving total ownership and control of data in your hands. Our Cincinnati-based team comes from a diverse mix of multidisciplinary backgrounds including EY, Oracle, Facebook, the FBI and Dunnhumby and is backed by notable venture investors including 500 Startups, Angelpad and CincyTech. We pride ourselves on the company we keep-and our team members, regardless of their role, are on a mission to deliver an exceptional customer experience.
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