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Cloudera

Staff Software Engineer – Data Services

Cloudera

Staff Software Engineer at Cloudera driving architectural vision for Apache Airflow orchestration in data infrastructure. Collaborating with product and engineering to optimize workflow automation for enterprise clients.

Posted 6/3/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AirflowApacheCloudDistributed SystemsGoJavaKubernetesOpenShiftPythonScalaSpark

About the role

Key responsibilities & impact
  • Drive the multi-year technical roadmap and architectural vision for enterprise-grade Apache Airflow within Cloudera Data Engineering
  • Design and optimize highly available, secure, and multi-tenant Airflow environments capable of managing complex dependencies and scheduling workflows across thousands of distributed cluster nodes
  • Gain and apply deep technical knowledge across the CDE stack, with a primary focus on extending Airflow, integrating it with Spark and Iceberg, and contributing back to the open-source community where applicable
  • Foster a culture of technical excellence through hands-on technical mentorship, rigorous design reviews, and robust architectural guidance for distributed workflow execution
  • Collaborate closely with product management, engineering leaders, and cross-functional partners to deliver critical features that make workflow automation seamless and intuitive for CDE customers

Requirements

What you’ll need
  • BS or MS in Computer Science or a related technical field
  • 10+ years of professional software engineering experience, with a heavy emphasis on data infrastructure, workflow orchestration, and distributed systems
  • Deep, production-proven experience architecting, scaling, and extending Apache Airflow (e.g., custom operators, hooks, providers, Celery/Kubernetes executors, and security models)
  • Strong understanding of Python (essential for Airflow development) and at least one compiled language such as Java, Scala, C++, or Go
  • Deep expertise in cloud-native architectures, specifically running stateful and stateless workloads on Kubernetes (EKS, AKS, GKE) and/or private cloud environments (OpenShift, Rancher)
  • Strong understanding of large-scale systems design, scheduling algorithms, resource allocation, and performance tuning
  • Exceptional communication skills, an open-minded attitude, and a passion for clean code, technical quality, and mentorship.

Benefits

Comp & perks
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups

ATS Keywords

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Hard Skills & Tools
Apache AirflowPythonJavaScalaC++GoKubernetesCeleryIcebergdata infrastructure
Soft Skills
communication skillsmentorshiptechnical excellenceopen-minded attitudedesign reviewsarchitectural guidance
Certifications
BS in Computer ScienceMS in Computer Science