Senior Software Engineer, Platform
Astronomer3 hours ago
Responsibilities
- Design and deliver the current and next generation of Astronomer’s production platform.
- Own systems for building, testing, and deploying code in a high-scale PaaS environment.
- Collaborate across the company on production system design, technology choices, standards, and system integration.
- Develop Platform and Reliability practices with an emphasis on safe, predictable, and reliable delivery.
- Participate in platform decision-making, incident management, and periodic on-call rotations.
- Create and maintain comprehensive internal documentation for systems and processes.
- Estimate work, coordinate with stakeholders, identify risks, and support successful project delivery.
Requirements
- Strong experience designing and implementing non-abstract systems.
- Strong proficiency in Python and Golang and in-depth Kubernetes experience, with CKA or equivalent knowledge preferred.
- Experience with observability principles and technologies, including defining and tracking SLI and SLO metrics.
- Experience collaborating and delivering work with globally distributed teams.
- Passion for reliability and operational excellence, with a focus on reducing toil.
- Experience with software development practices including code review, testing, CI/CD, version control, automation, and debugging.
- Proactive ownership and accountability in identifying and addressing issues.
- Bonus experience with SaaS or PaaS products across multiple cloud providers.
- Bonus familiarity with CircleCI, Chronosphere, Prometheus, Splunk, Bazel, Istio, Playwright, Karpenter, GitHub Actions, AWS, GCP, Azure, and Apache Airflow.
Benefits
- Comprehensive benefits package.
- Equity component.
- Periodic on-call rotation is part of the role.
Tech Stack
Apache AirflowAWSAzureBazelCircleCIGitHub ActionsGoGoogle Cloud PlatformIstioKubernetesPrometheusPythonSplunk
Categories
DevOpsSite Reliability
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.