Cloudera

Staff Software Engineer - Airflow

Cloudera  •  Austin, TX (Remote)  •  1 month ago
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Job Description

Business Area:

Engineering

Seniority Level:

Mid-Senior level

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

The Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.

As a Staff Software Engineer, Airflow , you will be a key technical leader, responsible for the architecture, technical vision, and strategic evolution of the Apache Airflow-based workflow orchestration platform within the company’s data ecosystem. You will be expected to solve the most complex, ambiguous, and high-impact technical problems that span multiple teams or organizational boundaries.

As a Staff Software Engineer you will:

  • Technical & Architectural Leadership: Drive the multi-quarter technical roadmap and architecture for the Airflow platform, ensuring it is secure, highly scalable, reliable, and cost-efficient for enterprise-grade workloads.

  • Complex Problem Solving: Design and implement solutions for the most challenging technical issues, such as extreme scale, multi-tenancy isolation, complex scheduling, and hybrid/multi-cloud deployment models.

  • Cross-Functional Impact: Collaborate closely with product management, principal engineers, and other platform teams (e.g., Spark, Kubernetes) to define and deliver core orchestration capabilities that influence the entire data platform.

  • Engineering Excellence: Define and champion best practices, performance optimization, and quality standards (observability, testing, and fault tolerance) for the Airflow service and its integrations.

  • Mentorship: Mentor senior and junior engineers on complex technical design, best practices, and execution, elevating the overall technical capacity of the team and organization.

  • Open Source: Maintain significant contributions and influence within the Apache Airflow open-source community, aligning the project’s roadmap with product strategy.

We are excited if you have (Required Qualifications):

  • Bachelor’s degree in Computer Science or equivalent, and 6+ years of experience

  • Deep Airflow Expertise: Deep, hands-on knowledge of Apache Airflow internals (scheduler, executor, serialization, REST APIs) and complex DAG authoring/optimization.

  • Programming: Proficiency in both Python and Java with core data platform technologies and cloud-native deployments (e.g., Kubernetes, Cloud Composer, AWS/GCP/Azure).

  • Systems Thinking: Demonstrated ability to drive design and architectural decisions with a focus on non-functional requirements (security, performance, high availability, fault tolerance).

  • Leadership: Proven ability to lead and drive technical projects across multiple teams without direct reporting authority.

You may also have:

  • Experience defining the architecture for multi-tenant, service-oriented data platforms.

  • Significant contributions to Apache Airflow or related open-source projects.

  • Background in performance tuning and profiling large-scale Python and distributed applications.

  • Familiarity with data governance and security frameworks (e.g., Ranger, Kerberos) and their integration with workflow orchestration.

Why this role matters:

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.

This role is not eligible for immigration sponsorship.

What you can expect from us:

  • 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

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Cloudera

About Cloudera

Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.

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Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.

If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.

Industry
IT & Software
Company Size
1,001-5,000 employees
Headquarters
Santa Clara, California
Year Founded
Unknown
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