Staff Software Engineer - Platform

November 18

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Astronomer

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

☁️ SaaS

🤖 Artificial Intelligence

💰 $213M Series C on 2022-03

Description

• Astronomer designed Astro, an industry-leading data orchestration and observability platform for data teams. • Our R&D team is dedicated to providing an exceptional experience in managing Apache Airflow at scale. • The team is responsible for maintaining and developing the API services, authentication, authorization, logging, observability, and alerting frameworks. • Your contributions will directly impact our ability to scale and deliver exceptional value to our customers. • Lead design and development of core platform applications and services using Node.js and React.js. • Drive technical strategy and architectural decisions to support a robust and scalable platform. • Mentor and support team members, fostering a culture of continuous learning and improvement. • Participate in code reviews, provide constructive feedback, and enforce coding standards.

Requirements

• 8+ years of overall software engineering experience, including experience managing and leading engineering teams or mentoring junior engineers. • Proven experience deploying, managing, and scaling applications in Node.js and React.js on a Kubernetes production environment. • Experience with distributed systems • Experience with SQL databases (Postgres/MySQL) • Strong written and verbal communication skills, with the ability to find middle ground. • Experience communicating technical concepts through the use of architectural diagrams. • Strong understanding of microservices architecture, containerization, and cloud-native application development. • Solid understanding of CI/CD tools like CircleCI and experience integrating them in a Kubernetes environment on any of the major cloud providers • Write and maintain documentation around key systems and processes. • Participate in an on-call rotation with some of our largest customers. • Perform root cause analysis during incidents and document results in the form of post-mortems.