Staff Software Engineer, Observability
Astronomer2 months ago
Base Salary
$275k - $377k/yr
Responsibilities
- Lead the end-to-end architecture and evolution of major observability platform components.
- Build scalable, reliable, and performant features that provide visibility into customer data pipelines.
- Collaborate with product, design, and engineering teams to define and deliver high-impact initiatives.
- Write maintainable code and champion standards for code quality, testing, design, and operational excellence.
- Improve the observability platform’s tooling, infrastructure, and processes.
- Lead and coordinate responses to complex production incidents and drive long-term improvements.
- Identify technical opportunities, risks, and gaps and lead initiatives to address them.
- Mentor engineers through design reviews, pairing, and feedback.
Requirements
- Strong technical experience building complex distributed systems, preferably with Golang, Python, Kubernetes, SQL/OLAP databases, Kafka, and stream processing.
- Hands-on experience designing, developing, and scaling production infrastructure.
- Ability to collaborate and communicate effectively across teams.
- Focus on delivering customer value through thoughtful technical solutions.
- Ability to work effectively in ambiguous environments and drive open-ended problems to completion.
- Experience building or scaling data observability products is a bonus.
- Familiarity with Apache Airflow or similar workflow orchestrators is a bonus.
- Background in observability, monitoring, or infrastructure at scale, such as Datadog or Honeycomb, is a bonus.
- Experience working directly with product teams is a bonus.
Benefits
- Equity component and comprehensive benefits package
- Hybrid work arrangement
Tech Stack
About Astronomer
Astronomer builds Astro, a data orchestration platform powered by Apache Airflow that lets data teams run, monitor, and govern complex pipelines across clouds. It sells managed Airflow and enterprise tooling via subscriptions, backed by expert support and services. Founded in 2018 and headquartered in New York, the privately held company focuses on enterprises operationalizing analytics and AI workloads.