Posted:
10/23/2024, 9:53:24 AM
Experience Level(s):
Senior
Field(s):
DevOps & Infrastructure ⋅ Software Engineering
Workplace Type:
Remote
Astronomer designed Astro, an industry-leading data orchestration and observability platform for data teams. Powered by Airflow, Astro accelerates building reliable data products that unlock insights, unleash AI value, and drive data-driven applications.
We’re a globally-distributed and rapidly growing venture-backed team of learners, innovators and collaborators. Our mission is to empower data teams to bring mission-critical analytics, AI, and software to life. As a member of our team, you will be at the forefront of the industry as we strive to deliver the world's data.
Your background may be unconventional; as long as you have the essential qualifications, we encourage you to apply. While having "bonus" qualifications makes for a strong candidate, Astronomer values diverse experiences. Many of us at Astronomer haven't followed traditional career paths, and we welcome it if yours hasn't either.
Astronomer’s R&D team is laser-focused on delivering a great experience managing Apache Airflow at scale today. The dataplane management team designs, builds, and owns the infrastructure that runs our customers’ workloads. Unsurprisingly, this is a team with a serious passion for infrastructure.
You'll work on the software that powers the automation and lifecycle management of our cloud infrastructure, consisting of hundreds (and eventually thousands) of kubernetes clusters across clouds. You’ll also work closely with our core runtime, platform, and other product teams.
Work across domains to develop diverse features for our core infrastructure (ie: workload identity, multitenancy, cross region disaster recovery, cloud quota management, private network access, etc).
Build and scale our flagship product, Astro, that deploys and enables data orchestration at the most complex levels for the largest companies on the planet.
Design, build, and iterate on our cloud infrastructure to effectively and efficiently manage customer deployments.
Contribute to the overall system performance, reliability, and scalability.
Experience building and operating large, complex SaaS infrastructures, operating at scale.
Knowledge of fleet management.
Expertise with Golang, Java, or similar languages and a desire to learn Golang.
Production experience with distributed systems (Kubernetes preferred, but not required).
Understanding of how to build with security in mind, so that Astronomer’s managed platform can securely integrate with any customer environment.
Ability to lead new features or service development for a large complex system with performance constraints.
Programmatically managed k8s in multiple clouds (if this is you, tell us because we want to talk to you).
Experience designing services for resiliency and high availability.
Developed greenfield cloud-based systems with service-oriented architectures.
Built tools (e.g., internal APIs, debuggers, etc.) for streamlining internal development and external deployment.
Been a top contributor or senior engineer building large, complex distributed systems, proprietary or open source.
Proficiency in a diverse set of programming languages.
The estimated salary for this role ranges from $180,000 - $210,000, along with an equity component and a comprehensive benefits package. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.
#LI-Remote
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Astronomer is a remote-first company.
Website: https://www.astronomer.io/
Headquarter Location: Cincinnati, Ohio, United States
Employee Count: 251-500
Year Founded: 2018
IPO Status: Private
Last Funding Type: Series C
Industries: Analytics ⋅ Big Data ⋅ Cloud Data Services ⋅ Data Integration ⋅ Enterprise Software ⋅ Information Technology ⋅ Machine Learning ⋅ Software