Senior Engineering Manager (Storage Engineering)

• 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
• You’ll 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
• 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

Benefits

• Comprehensive medical, dental, and vision plans
• On-site gyms at various locations
• Gym reimbursement
• Paid medical disability & child bonding leaves
• Volunteer time off policy
• Quarterly team building offsites
• Tuition reimbursement
• Free and catered lunches based on office location
• Discount programs
• Business travel insurance
• Work from home opportunities- Experience managing remote or hybrid engineers
• Experience: 8+ years of experience in software engineering, with 2+ years in an engineering management role
• Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field
• Domain Expertise: Demonstrable experience with the design, implementation, and operation of large-scale distributed systems, particularly in storage, file systems, databases, or cloud infrastructure
• 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)
• Prior experience contributing to or leading large-scale open-source projects
• 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
• 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