Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 700 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:As a Solutions Engineer - Cloud Infrastructure, you will work with Astronomer’s most strategic private-cloud customers to adopt and benefit from Astronomer’s offerings for deploying and managing Apache Airflow clusters and related infrastructure. You will assist customers with installations and support of their technology stack for private-cloud installations, so they can get maximum value out of their Astronomer Investment.
Hybrid Work Model: For this role, you will embrace a flexible hybrid work model, working at least 3 days per week at our Office in Hyderabad while delivering a seamless experience that is digitally and physically connected.
What You Get To Do
You will have responsibility for a small number of assigned accounts, maintaining a single-minded focus to ensure that some of our largest and most strategic customers are extracting the most value out of their Astronomer investment.
Work with Astronomer customers and support the Astronomer Managed Airflow Software installations in their on-premise environments
Identify, set up, and measure monitoring and alerting metrics for the customers’ on-prem Astronomer Software infrastructure to ensure optimal performance and high availability.
Independently troubleshoot infrastructure issues related to Astronomer’s Kubernetes-based private-cloud offerings, including but not limited to Kubernetes, networking, database connectivity, and other critical services and solution components.
Drive major incidents, root cause analysis, change impact analysis & implementation
Identify and develop automation using scripts for environment monitoring and health checks
Provide guidance/direction to the team for critical/complex infrastructure issues
Maintain and continuously improve your technical expertise. You would be knowledgeable about Airflow and Astronomer's products. You stay up to date with the latest releases and features while focusing on those that have a greater impact on customers.
Act as a liaison by collecting feedback and identifying improvements through client interactions and relaying these recommendations back to the Product team
What You Bring To The Role
2+ years of hands-on Kubernetes experience.
3-5 years of industry experience.
Strong understanding of microservices/service-oriented architecture.
Strong knowledge and hands-on experience in Linux/Unix Operating Systems
Strong knowledge in setting up and debugging networking issues on the fly.
Must have strong working experience and an advanced understanding of at least one Cloud platform among AWS, Azure, and Google Cloud.
Significant level of comfort interacting with assigned customers, over a variety of mediums (Slack, email, pair programming sessions).
Strong oral and written communication skills
Empathetic and lean towards giving those around them the benefit of the doubt
Eager to help customers solve problems and succeed in making Airflow the de facto standard in data orchestration
Highly data-driven and intrigued by the challenge of delivering an awesome Astronomer experience to hundreds of customers
Bonus points if you have:
Experience in working with or in Apache Airflow in a production-level environment.
Experience building and maintaining CI/CD pipelines
Experience working on short and long-term customer-engagements
Experience with related-market products such as Cloudera, Databricks, Snowflake, DBT, ETL Technologies, and analytics solutions
Experience with Python/Shell Scripting is a big plus
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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.
