Business Area:

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Job Description:

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.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

Cloudera Data Engineering is the next-generation cloud-native service that helps our customers run large-scale data engineering workflows made up of industry-standard big data processing frameworks like Apache Spark and Apache Airflow with just a few clicks, across both on-premises and public cloud environments.

We are seeking a Staff Engineer with a strong technical background in data infrastructure space to lead the Cloudera Data Engineering experience for all customers using Cloudera Data Engineering Spark and Airflow. This high-impact IC role offers the opportunity to shape the future of Cloudera’s Data Engineering space across multiple cloud environments, impacting thousands of customers worldwide.

As a Senior Staff Engineer in the Cloudera Data Engineering space, you will:

• Gain deep technical knowledge across the Cloudera Data Engineering technical stack, with a focus on Spark and Airflow, and apply this expertise in your daily work.

• Work with a team of talented infrastructure engineers. Help hire and mentor engineers while supporting their career growth.

• Drive architecture and design discussions, providing strong technical direction for the team.

• Collaborate with product, engineering, and cross-functional partners, leading the delivery of several large, critical features in Cloudera’s data engineering experience.

• Work on large-scale distributed systems, ranging from hundreds to thousands of nodes in production clusters.

• Bring passion for programming, clean coding practices, attention to detail, and a strong focus on quality.

We are excited about you if you have:

• Relevant studies / BS or MS in Computer Science or related field

• 5+ years experience as a Software Engineer in infrastructure space

• Strong understanding of at least one of the following languages: Java, Scala, C++, Python. And interested to learn the languages we’re using.

• Passionate about programming, clean coding habits, attention to detail, and focus on quality

• Excellent communication and collaboration skills

• (Most importantly) Open-minded attitude, desire to learn new things and build great products

It’s a plus if you have:

• Experience with public cloud (AWS/Azure/GCP) and/or private cloud (OpenShift/Rancher)

• Experience with containerization (Kubernetes, Docker).

• Strong understanding of distributed systems and building systems at scale.

This role is not eligible for immigration sponsorship.

Why this role matters:

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You’ll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.

We believe in the power of open source. You’ll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You’ll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

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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