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Software Engineer (Go)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Engineer (Go) (Data Infrastructure): Building core platform systems for Astro, including public APIs, authentication, billing, alerting, and infrastructure services with an accent on backend scalability, reliability, and maintainability. Focus on designing distributed systems, orchestrating services with Kubernetes, and using AI coding assistants for testing, refactoring, and documentation.
Location: New York City, hybrid
Estimated total compensation: $210,000–$250,000 plus equity and benefits.
Company
builds Astro, a unified DataOps platform powered by Apache Airflow, helping enterprises develop reliable data products, analytics, and AI applications.
What you will do
- Develop Astro Platform architecture and core platform components.
- Build and maintain systems supporting the Public API, authentication, billing, alerting, and Astro infrastructure.
- Collaborate with product management, frontend engineers, customers, and cross-functional teams to deliver customer-facing features.
- Improve platform usability, reliability, scalability, and maintainability.
- Contribute to architectural decisions and iterate on features used across the product and engineering organization.
Requirements
- Experience building performant, scalable, and reliable backend systems.
- Experience developing services with Go and orchestrating services on Kubernetes.
- Familiarity with SQL databases, especially PostgreSQL.
- Advanced understanding of distributed systems concepts.
- Strong written and verbal communication skills with a collaborative approach.
- Experience using AI coding assistants and LLMs such as Claude, Cursor, or Gemini for prototyping, testing, refactoring, and documentation.
Nice to have
- Experience with Google Spanner.
- Contributions to open-source projects.
- Experience with Apache Airflow or related workflow orchestrators.
- Experience with billing, authentication, and other critical business functions.
Culture & Benefits
- Work on production data infrastructure used by leading enterprises.
- Collaborate with engineers and cross-functional partners on customer-facing systems.
- Hybrid work environment.
- Equity component and comprehensive benefits package.
- Equal opportunity workplace committed to diversity.
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