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AstronomerAstronomerNew York, NY

Staff Software Engineer, Observability

Leads architecture and development of scalable observability platform components for customer data pipelines. Requires staff-level distributed systems and production infrastructure experience, with expertise in technologies such as Golang, Python, Kubernetes, Kafka, and stream processing.

275k – 377k/yr
Hybrid7+ YOEBackend Engineering

About the role

Responsibilities

  • Lead the end-to-end architecture and evolution of major platform components, making foundational design decisions for the observability platform.
  • 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 high-quality, maintainable code following best practices in testing, CI/CD, and operational excellence.
  • Set and champion engineering standards for code quality, testing, design, and operational excellence.
  • Improve and evolve the observability platform’s tooling, infrastructure, and processes.
  • Lead and coordinate responses to complex production incidents, guiding rapid resolution and long-term improvements.
  • Identify technical opportunities, risks, and gaps, and drive initiatives to address them.
  • Mentor engineers through design reviews, pairing, and feedback.

Requirements

  • Strong technical experience building complex distributed systems.
  • Experience with Golang, Python, Kubernetes, SQL/OLAP databases, Kafka, and stream processing.
  • Hands-on experience designing, developing, and scaling production infrastructure.
  • Excellent collaboration and communication skills.
  • Focus on delivering customer value through thoughtful technical solutions.
  • Ability to work in ambiguous environments, break down open-ended problems, and drive them to completion.

Nice-to-haves

  • Experience building or scaling data observability products.
  • Familiarity with Apache Airflow or similar workflow orchestrators.
  • Background in observability, monitoring, or infrastructure at scale, such as Datadog or Honeycomb.
  • Experience working directly with product teams.

Compensation and Benefits

  • Estimated salary range: $275,000–$377,000, based on leveling and geography.
  • Equity component and comprehensive benefits package.

Skills

GoPythonKubernetesSQLolap databasesKafkastream processingDistributed SystemsCI/CDapache airflowDatadoghoneycomb
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