Staff Engineer, Distributed Systems
LaunchDarklyFull Time
Senior (5 to 8 years)
Candidates should have deep prior experience in software engineering, with multiple years of experience in a people management role. A strong technical background in distributed systems, data engineering, cloud computing, and technologies like Kubernetes and Docker is required. The ability to identify and solve complex technical challenges, balance immediate needs with long-term solutions, set clear expectations and goals, and develop detailed project execution plans with risk communication is essential.
The Senior Engineering Manager will lead a globally distributed team to deliver an exceptional Apache Airflow experience, bridging open-source software and commercial initiatives. They will provide technical mentorship, oversee the entire lifecycle of engineering projects, and collaborate with Product Management, Customer Support, and Field Engineering. Responsibilities include ensuring projects are on track, gathering customer insights, addressing performance bottlenecks, implementing monitoring strategies, and managing technical debt.
Data orchestration platform for pipeline management
Astronomer.io provides a data orchestration platform that utilizes Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, helps businesses manage and monitor their data flows, allowing them to focus on delivering essential data pipelines. The platform supports data unification across various clouds and offers over 1500 integrations, making it suitable for data and machine learning teams in industries like finance and e-commerce. Astronomer.io distinguishes itself from competitors by offering enterprise-grade security, zero-downtime upgrades for Airflow, and tools for monitoring pipeline health, which enhance compute efficiency and reduce delays in task scheduling. The company's goal is to empower organizations to optimize their data strategies and achieve a significant return on investment by ensuring their applications operate with maximum reliability.