[Remote] Senior Software Engineer, Test Automation at Astronomer

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

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Requirements

8+ years of experience in test automation for modern distributed systems
Strong communication and collaboration skills to work with cross-functional teams across time zones
Experience with cloud providers like AWS, Azure, or GCP
Extensive experience writing high quality production-ready Python tooling following best practices
Proficiency in writing automation for microservices built in Python, Go, Node.js
Strong experience with Kubernetes, including hands-on experience testing systems running on K8s
Experience with API testing tools (e.g., Postman, REST-assured, Supertest)
Deep understanding of CI/CD tools such as GitHub Actions, CircleCI, and Jenkins
Familiarity with observability tools: Prometheus, Elasticsearch, Grafana, Fluent Bit
Solid understanding of GitOps, Docker, and Helm charts

Responsibilities

Design, develop, and maintain automated test suites for integration, end-to-end (E2E), smoke, and regression testing
Define and implement strategies for scalability and load testing of a Kubernetes-based distributed system
Develop processes to orchestrate continuous testing and load generation (synthetics) techniques and observability tooling to provide real-time production readiness signals
Collaborate with development teams to understand architecture and features to define appropriate test coverage
Develop and maintain process documentation and reporting aligned with business and technical requirements
Create benchmark techniques to measure our product and competitors performance
Build modularized and portable test components for evaluating frontend and backend systems
Automate deployments and test execution in CI/CD pipelines using GitOps and Kubernetes tooling
Monitor test executions, analyze results, and drive continuous improvement in test quality and coverage

Skills

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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