Customer Reliability Engineer, Infrastructure

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Cloud Computing, Data OperationsIndustries

Requirements

Candidates should have a demonstrable Linux familiarity, 4 years of professional experience, and experience with Kubernetes/Docker/Containers. Experience with any major cloud provider such as AWS, GCP, or Azure is required. Bonus points are awarded for previous customer-facing experience, DevOps experience, contributions to open-source projects, or familiarity with Splunk or Prometheus.

Responsibilities

The Customer Reliability Engineer will operate, monitor, and maintain the managed Airflow service to ensure availability, predictability, and reliable operations. This role involves building expertise in Kubernetes, cloud engineering, and cloud networking across AWS, Azure, and GCP. Responsibilities include creating strong customer relationships, helping customers achieve reliability goals, working directly with customer data engineers and DevOps teams, providing feedback to shape product direction, owning the customer experience by prioritizing and solving issues, meeting SLAs, maintaining 24x7 coverage through a pager period, and participating in paid on-call rotations. Up to 20% of time can be dedicated to side projects like contributing to the open-source Airflow repository or developing internal monitoring and alerting systems.

Skills

Kubernetes

Cloud Infrastructure

AWS

Azure

GCP

Airflow

Monitoring

Reliability Engineering

Production Operations

Terraform

Linux

Python

Astronomer

Data orchestration platform for pipeline management

About Astronomer

Astronomer.io provides a data orchestration platform that utilizes Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, helps businesses manage and monitor their data flows, allowing them to focus on delivering essential data pipelines. The platform supports data unification across various clouds and offers over 1500 integrations, making it suitable for data and machine learning teams in industries like finance and e-commerce. Astronomer.io distinguishes itself from competitors by offering enterprise-grade security, zero-downtime upgrades for Airflow, and tools for monitoring pipeline health, which enhance compute efficiency and reduce delays in task scheduling. The company's goal is to empower organizations to optimize their data strategies and achieve a significant return on investment by ensuring their applications operate with maximum reliability.

Cincinnati, OhioHeadquarters

2018Year Founded

$272.1MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

201-500Employees

Benefits

Remote Work Options

Company Equity

Risks

Increased competition from platforms like Prefect and Dagster poses a market challenge.

Over-reliance on Apache Airflow could be risky if community focus shifts.

Rapid AI advancements may outpace Astronomer's feature integration, risking client dissatisfaction.

Differentiation

Astronomer offers Astro, a modern data orchestration platform powered by Apache Airflow.

Astro enables data teams to build, run, and observe data pipelines-as-code efficiently.

Astronomer provides enterprise-grade security and over 1500 integrations for data unification.

Upsides

Astronomer's revenue grew over 200% in H1 2023, indicating strong market demand.

Collaboration with Microsoft Azure enhances Astronomer's cloud-native data orchestration capabilities.

Integration with Anyscale boosts Astronomer's offering for scalable machine learning workflows.

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