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San Jose, California, United States
Hybrid
Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob 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.
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.
Cloudera is looking for a strong engineering leader with a distributed systems background to lead a team within the Storage Engineering group, focused on building Apache Ozone and Apache HDFS. The Storage team is responsible for primary storage and storage access layers, which are core to the Cloudera Data Platform.
Apache Ozone is an open source, massively scalable, distributed object store with a distributed file system interface. Ozone is designed to scale to tens of billions of files and blocks, and overcome the limitations of Hadoop Distributed File System (HDFS), namely, millions of small files and managing a huge number of data nodes.
Ozone is one of the fastest-growing products inside CDP in terms of customer adoption and expansion revenue. This is an opportunity to lead a team that created and wrote most of the Ozone code and make a huge impact on the big data storage industry.
As a Sr. Manager, Engineering you will:
Manage and lead a team of talented engineers and senior individual contributors based in North America.
Develop and execute on a technical roadmap and strategy for your team, aligning with the department's vision and the company's business goals.
Lead and mentor a team of software engineers, including senior and principal-level contributors, fostering a culture of technical excellence and innovation.
Partner with Engineering leaders, product managers, and partner teams to understand requirements, develop solid designs and implementations, and facilitate integration and adoption.
Drive and enforce best practices for the software development lifecycle, including coding standards, testing, deployment, system scalability, reliability, and security, tracking key performance indicators for engineering quality and efficiency.
Communicate team progress, successes, challenges, and strategic plans clearly and transparently to engineering leadership and other business stakeholders.
Oversee team resources, staffing, mentoring, and enhancing a best-of-class engineering team.
Work closely with customers in various geographies and partner teams (like PS and support) to ensure successful adoption of Ozone and provide technical guidance for enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines.
Guide the team in contributing to the Apache open-source community.
We are excited if you have (Required Qualifications):
Experience: 8+ years of experience in software engineering, with 2+ years in an engineering management role.
Domain Expertise: Demonstrable experience with the design, implementation, and operation of large-scale distributed systems, particularly in storage, file systems, databases, or cloud infrastructure.
Technical Depth: Strong understanding of fundamental storage concepts (e.g., consistency, replication, erasure coding, caching).
Management Skills: Proven track record of leading and managing high-performing engineering teams, demonstrating excellent communication and organizational skills.
Communication: Excellent written and verbal communication skills. If you can point to publicly available papers, technical articles or blog posts that is a huge plus.
Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.
You may also have:
Prior experience contributing to or leading large-scale open-source projects.
Familiarity with the Apache Hadoop big data ecosystem (HDFS, YARN, Hive, Impala, Spark) or related distributed data frameworks.
Experience with specific commercial or open-source distributed storage technologies (e.g., Ceph, Gluster, ZFS, S3-compatible systems).
Experience managing remote or hybrid engineers.
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.
The expected base salary range for this role in
California is $213,000 - $266,000
The salary will vary depending on your job-related skills, experience and location
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
Employee Resource Groups
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