
Senior Kubernetes Engineer
2 days ago
Our company empowers data teams to bring mission-critical software, analytics, and AI to life with our industry-leading unified DataOps platform, Astro. We accelerate building reliable data products that unlock insights, unleash AI value, and power data-driven applications.
We value diversity and encourage applicants from unconventional backgrounds. While having 'bonus' qualifications makes for a strong candidate, we prioritize essential skills.
About this role:As a Cloud Infrastructure Solutions Engineer, you will work with our 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.
The ideal candidate will be able to maintain a single-minded focus on ensuring our largest and most strategic customers extract the most value out of their Astronomer investment.
Assist Astronomer customers with installations and support of their technology stack for private-cloud installations.
IDentify, set up, and measure monitoring & alerting metrics for Customer on-prem Astronomer Software infrastructure.
Independently troubleshoot infrastructure issues related to Astronomer's Kubernetes-based private-cloud offerings.
Drive major incidents, root cause analysis, change impact analysis & implementation.
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.
Act as a liaison by collecting feedback and identifying improvements through client interactions and relaying these recommendations back to the Product team.
Key Responsibilities
Extensive (2+ years) hands-on Kubernetes experience.
3-6 years of industry experience.
Strong understanding of microservices/service-oriented architecture.
Expert knowledge and hands-on experience in Linux/Unix Operating Systems.
Strong understanding of setting up and debugging networking issues on the fly.
Must have strong working experience and advanced understanding of at least one Cloud platform among AWS, Azure, and Google Cloud.
Significant level of comfort interacting with assigned customers.
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.
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