Level

Astronomer

Customer Reliability Engineer, Infrastructure - Hyderabad, India

AI in this role

Ensure reliability, monitoring, and infrastructure health of managed Apache Airflow cloud environments.

kubernetesapache-airflow
customer-reliabilityinfrastructuretroubleshootingmonitoringobservability

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 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.

About this role:

The Astronomer Customer Reliability Engineering (CRE) team is responsible for the success of our customers' usage of our managed Airflow service.

The CRE are responsible for operating, monitoring, and maintaining the platform to ensure availability, predictability, and reliable operations.

As an infrastructure specialist within the team, you will focus on the reliability of the underlying cloud infrastructure and Kubernetes clusters. This entails responding to incidents either raised by a customer, or from our monitoring system and then taking further steps to ensure problems are permanently resolved or monitored. As owners of the observability platform, CRE has unlimited potential to improve the reliability of the product and deliver the best possible outcome for our customers.

 

This role is directly customer-facing and gives exposure to very diverse problems and requirements. The CRE get the opportunity to interface with customers from a variety of industries across different cloud providers, and all with different expectations. Your contributions will directly impact customers' success with using the Astronomer products, and you will be able to help make meaningful improvements to the customer experience.

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:

  • Provide solutions to customers to make them successful using our products.

  • Troubleshoot Customer environments and engage in active triaging with customers

  • Provide feedback to the product development teams on customer needs and pain points.

  • Build out our monitoring and alerting systems.

  • Build and maintain automation to ensure daily operational tasks are handled as efficiently as possible.

  • Help direct the architecture of the products and contribute where possible.

  • Own the customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide “white glove” guidance on the path to production.

  • Participate remotely within a fully distributed team.

  • Enhance and Enrich customer documentation

  • Work on a modern, sophisticated, cloud native product that customers use to connect to dozens of other systems.

  • Help maintain 24x7 coverage through a specified 6 hour pager period during your work day.

  • Participate in paid on call rotation for weekend coverage.

What you bring to the role:

  • 3+ years of experience, preferably with large, complex cloud infrastructures operating at scale

  • 2+ years of experience with Kubernetes

  • Experience managing a Production distributed system with at least one major cloud provider (one or all: AWS, GCP, Azure)

  • Strong Network Experience with one of the major Clouds

  • Strong Linux experience

  • Knowledge of how to operate and monitor issues for distributed systems

  • Experience with Observability tools

  • Previous experience in handling customers issues (internal and external)

  • Strong Communication Skills

  • DevOps or CI/CD experience

  • Python scripting

Bonus points if you have:

  • Experience as a Site Reliability Engineer

  • Worked with Kubernetes Custom Resources

  • Airflow/Big Data Orchestration experience

  • IaC experience

#LI-Fulltime

#LI-Hybrid

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.

How we rate this

Customer Reliability Engineer, Infrastructure - Hyderabad, India at Astronomer rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Customer ReliabilityInfrastructureTroubleshootingMonitoringObservabilityKubernetesApache Airflow

Questions you could be asked

  1. Tell me about a project where customer reliability was part of your work. What did you do?
  2. Tell me about a project where infrastructure was part of your work. What did you do?
  3. Tell me about a project where troubleshooting was part of your work. What did you do?
  4. Tell me about a project where monitoring was part of your work. What did you do?
  5. Tell me about a project where observability was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Customer Reliability, Infrastructure, Troubleshooting, Monitoring, and Observability. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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