Astronomer Logo

Astronomer

Principal Software Engineer

Posted One Month Ago
Be an Early Applicant
Hybrid
New York City, NY, USA
277K-390K Annually
Expert/Leader
Hybrid
New York City, NY, USA
277K-390K Annually
Expert/Leader
Lead architecture and implementation of a self-contained control plane and data plane to provision and manage on‑premises Apache Airflow across hybrid and air‑gapped environments. Design extensible APIs, telemetry/observability, Kubernetes operators and deployments, ensure security and backward compatibility, and provide technical leadership, design reviews, and senior mentorship.
The summary above was generated by AI

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 the Role

We are seeking an exceptional Principal Software Engineer to provide technical leadership, architectural vision, and team mentorship for our core engineering group. In this role, you will be the primary architect and public face of a cloud-agnostic software platform that helps enterprise customers provision, scale, and orchestrate Apache Airflow instances completely on-premises within their own environments.

This is a unique infrastructure challenge: our platform is designed to be completely self-contained, operating without reliance on an external SaaS backbone or mandatory outbound communication. Both our control plane and data planes deploy locally inside the customer’s infrastructure. You will lead the engineering team in defining, designing, and building these systems to function reliably across a spectrum of enterprise network setups—ranging from standard customer-managed clouds to strictly isolated, air-gapped environments.

 

What You'll Do

  • Define, Design, and Build Core Architecture: Own the end-to-end definition, design, and implementation of both the control plane and data plane services, creating highly resilient inter-connections between them to power this self-contained infrastructure platform.

  • Architect an Extensible Platform API: Drive the design, data modeling, versioning, and long-term backward compatibility of robust APIs (such as REST or gRPC). These APIs serve as the core platform engine that power the customer-facing UI, and the developer endpoints for customer-facing programmatic integrations.

  • Design Comprehensive Platform Observability: Architect the telemetry framework (metrics, logs, and traces) for the self-contained platform itself, ensuring deep visibility into both the core control plane services and the performance, health, and status of the underlying Airflow instances it provisions.

  • Architect for Varied Isolation Levels: Oversee the architecture of a self-contained software platform, ensuring all services, images, dependencies, and configurations can run smoothly whether deployed in connected private clouds or highly secure, zero-egress networks.

  • Provide Technical Leadership: Act as the technical face of the team, translating complex enterprise infrastructure needs into execution roadmaps while aligning closely with product management and executive stakeholders.

  • Mentor and Elevate: Foster a culture of engineering and operational excellence through comprehensive design reviews, high-leverage code contributions, and direct career mentorship for senior engineers.

 

What You'll Bring

  • Extensive Infrastructure Experience: 10+ years of professional software engineering experience, with a significant track record operating at a Staff, Senior Staff, or Principal level within an enterprise infrastructure, database-as-a-service (DBaaS), or private cloud organization.

  • Control Plane & API Productization: Proven success building production-grade infrastructure control planes, with a deep understanding of API design principles required to support programmatic customer workflows and user interfaces.

  • Cloud-Native Observability Expertise: Practical experience designing and implementing infrastructure observability stacks (e.g., Prometheus, OpenTelemetry, Grafana) to capture, aggregate, and surface system health and workflow data within isolated environments.

  • Strong Kubernetes Foundation: Solid operational knowledge and architectural understanding of container orchestration platforms, specifically Kubernetes. You have practical experience building custom Kubernetes Operators (CRDs), managing Helm deployments, and working with the Kubernetes API to orchestrate application lifecycles.

  • Hybrid Cloud Architecture: Hands-on systems design expertise involving isolated environments across multiple public cloud providers (AWS, GCP, Azure), Red Hat OpenShift enterprise deployments, and bare-metal on-premise infrastructure.

  • Advanced Coding & Systems Design: Expert-level software development skills (e.g., Go, Python, TypeScript) with deep knowledge of distributed state stores (such as Etcd, Consul, or PostgreSQL), concurrency, and network security patterns.

  • Top-Notch Technical Communication: Exceptional oral and written communication skills with a proven ability to author crisp, high-density technical "one-pagers" and actionable RFCs. You can drive fast organizational alignment by distilling complex systems choices into brief, highly readable documents, presenting confidently to executive leadership, and engaging deeply with strategic enterprise clients to unearth their core infrastructure requirements.

The estimated total compensation for this role ranges from $277,000 - $390,000, along with an equity component and a comprehensive benefits package. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.

 

#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.

HQ

Astronomer New York, New York, USA Office

54 W 21st St, New York, New York, United States, 10010

Similar Jobs

2 Days Ago
Hybrid
2 Locations
Senior level
Senior level
Financial Services
Principal Software Engineer responsible for designing scalable software frameworks, developing secure production code, reviewing and debugging implementations, and advancing cloud-native engineering practices. Leads adoption of agentic AI development workflows with governance for validation, auditability, security, resiliency, and sensitive-data handling. Serves as a technical subject matter expert, advises cross-functional teams, influences senior stakeholders, and delivers reusable solutions across the organization.
Top Skills: Agentic AiAi-Assisted Development And Automation ToolsCloud-Native TechnologiesSoftware Design FrameworksSoftware Development Lifecycle (Sdlc) Tools
2 Days Ago
Hybrid
2 Locations
Senior level
Senior level
Financial Services
Own LLM inference optimization across production workloads, including benchmarking, quantization, speculative decoding, GPU efficiency, inference engine evaluations, KV-cache optimization, and chaos engineering. Partner with platform teams on large-scale AWS GPU serving architectures, establish performance standards, and communicate technical trade-offs to senior leadership. Lead secure, governed adoption of agentic AI engineering workflows and automation across teams.
Top Skills: Amazon EksAwqAWSDcgmFp8GptqGpu InfrastructureGuidellmInt4Int8Kv CacheLlm-DNvmlSglangSpeculative DecodingTensorrt-LlmVllmXid Event Tracking
5 Days Ago
Remote or Hybrid
New York, NY, USA
221K-387K Annually
Expert/Leader
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and deploy production-grade AI agents, assistants, reusable skills, and agentic workflows. Develop rapid MVPs, partner with engineering on production hardening, integrate models and tools, and establish rigorous evaluation for quality, safety, and reliability. Apply secure-by-design controls, document solutions, select frameworks and cloud services, and advise teams through the AI Center of Excellence.
Top Skills: AWSAzureClaude SdkDockerGCPGoogle Ai SdkKubernetesOpenai SdkPython

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account