Full-Time

Staff Software Engineer

Infrastructure

Confirmed live in the last 24 hours

Astronomer

Astronomer

201-500 employees

Data orchestration platform for pipeline management

Compensation Overview

$200k - $230k/yr

+ Equity Component + Comprehensive Benefits Package

Senior, Expert

New York, NY, USA

Hybrid

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Grafana
Git
Node.js
Docker
AWS
Go
Prometheus
Jenkins
Terraform
CircleCI
Helm
Google Cloud Platform
Requirements
  • 8+ years of backend or infrastructure engineering experience, with at least 2 years in a technical leadership role
  • Strong communication and collaboration skills to work with cross-functional teams across time zones
  • Experience driving technical strategy and conversations with customers, gathering feedback, and influencing product direction
  • Extensive experience with cloud providers like AWS, Azure, or GCP
  • Strong experience with Kubernetes, including hands-on experience testing systems running on K8s
  • Proficient in Golang and/or Python, and comfortable working with distributed systems, container orchestration, and CI/CD
  • Successfully led the design and execution of complex technical initiatives
  • Care deeply about team dynamics, process quality, and helping engineers grow
  • Thrive in a fast-paced, asynchronous, remote-first environment
  • Deep understanding of CI/CD tools such as GitHub Actions, CircleCI, and Jenkins
  • Familiarity with logging and observability tools: Prometheus, Grafana, Fluent Bit, ELK stack
  • Solid understanding of GitOps, Docker, and Helm charts
Responsibilities
  • Own code quality, design decisions, and technical artifacts across the team’s work
  • Drive architectural direction and enforce engineering best practices
  • Collaborate with PM and EM on scoping, planning, and maintaining a prioritized roadmap
  • Drive technical conversations and strategy with customers, translating requirements into scalable solutions and influencing roadmap direction
  • Provide technical mentorship and delegate effectively to support team growth
  • Define and evolve team processes, including code review, testing, on-call, and dev experience
  • Lead retrospectives and drive continuous improvement initiatives
  • Contribute hands-on to core platform components using Nodejs, Golang, Python, Kubernetes, and Terraform
Desired Qualifications
  • Experience with scale testing, disaster recovery, and capacity planning
  • Experience with at least one of the following languages: NodeJS, Go
  • Familiarity with Apache Airflow
  • Experience with Openshift and the Red Hat marketplace
  • Experience with the Prometheus/Grafana and ELK stacks

Astronomer.io offers a data orchestration platform that uses Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, allows businesses to manage and monitor their data flows, ensuring applications run with 100% uptime and providing over 1500 integrations. The platform enhances compute efficiency and reduces delays in task scheduling, resulting in a strong return on investment for clients. Astronomer's goal is to empower organizations to optimize their data strategies and improve their overall data management capabilities.

Company Size

201-500

Company Stage

Series D

Total Funding

$373.8M

Headquarters

Cincinnati, Ohio

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Astronomer secured $93M in Series D funding, supporting global expansion and R&D.
  • The rise of hybrid cloud environments boosts demand for Astro's seamless integration capabilities.
  • Increased focus on data governance drives adoption of Astro's strong security features.

What critics are saying

  • Emerging competitors may offer more specialized or cost-effective data orchestration solutions.
  • Potential security vulnerabilities in Apache Airflow could pose reputational and financial risks.
  • Reliance on key clients for revenue could be risky if they switch to competitors.

What makes Astronomer unique

  • Astro offers zero downtime upgrades for Apache Airflow, enhancing operational efficiency.
  • The platform supports over 1500 integrations, ensuring seamless data unification across environments.
  • Astro provides real-time alerts based on DAG and task SLAs, ensuring proactive management.

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Benefits

Remote Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

-1%
Intelligence360
May 19th, 2025
Astronomer Secures $93M for DataOps Expansion

Astronomer has secured $93 million in Series D funding led by Bain Capital Ventures, with participation from Salesforce Ventures and existing investors. Bosch Ventures is also seeking to join. The funding will support global expansion and R&D for Astronomer's unified DataOps platform, Astro. The company reported 150%+ YoY ARR growth and aims for profitability in two years, with 90%+ product utilization.

The AI Insider
May 5th, 2025
Astronomer Secures $93M Series D Funding to Deliver Unified DataOps Platform for Enterprise AI

PRESS RELEASE - Astronomer, the company behind Astro, the leading unified DataOps platform powered by Apache Airflow(R), announced it has secured $93 million in Series D funding led by Bain Capital Ventures, alongside Salesforce Ventures and existing investors including Insight, Meritech, and Venrock, with Bosch Ventures seeking to participate.

VCA
May 2nd, 2025
Astronomer Raises $93M for DataOps Platform

Astronomer has secured $93 million in Series D funding to develop a unified DataOps platform for enterprise AI.

Ainad
May 1st, 2025
Data Orchestration Startup Astronomer Shoots For Stars With $93M Series D

Astronomer, the developer of data orchestration platform Astro, locked up a $93 million Series D led by Bain Capital Ventures.

VentureBeat
May 1st, 2025
Astronomer’s $93M raise underscores a new reality: Orchestration is king in AI infrastructure

Astronomer secures $93 million in Series D funding to solve the AI implementation gap through data orchestration, helping enterprises streamline complex workflows and operationalize AI initiatives at scale.