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 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 Services Platform DSP team is building the core foundation for Cloudera s next-generation Data Services across GenAI inferencing machine learning data engineering data warehousing data flow and data lakes enabling a unified hybrid and multi-cloud data platform By abstracting the complexities of cloud providers such as AWS Azure and GCP DSP allows customers to seamlessly leverage and scale both on-premise and cloud infrastructure based on workload needs whether services are hosted by Cloudera or by customers themselves Backed by deep expertise in distributed systems and container orchestration technologies like Kubernetes and Apache Hadoop and led by pioneers of open-source projects such as Apache Ambari and Apache YuniKorn the organization plays an active role in global open-source communities including the Apache Software Foundation and CNCF driving modern scalable data management for everyone from analysts to data scientists As an Engineering Manager you will manage a high-caliber team of engineers delivering mission-critical Data Services Platform across a multi-cloud ecosystem AWS Azure and Openshift You will oversee the development and lead our strategy for container orchestration platforms like Kubernetes and container scheduling technologies You will be responsible for driving technical excellence fostering open-source contributions and ensuring the seamless delivery of our Data Services Platform across all supported environments You will also closely collaborate with partner engineering product teams to deliver features and products at a rapid pace As an Engineering Manager you will Lead a team of robust engineers to design code and implement elegant scalable enterprise-quality application services Build strong relationships and collaborate with platform and UI engineers quality engineers UX designers as well as Product Management Field Engineering and other external partners Work closely with Product Managers to define the capabilities that should be built into the product based on customer use cases As a leader you should be able to fill in to address gaps in process practices followed by the team organization Help to define the career growth of your reportees by working with them and being responsible for their growth Enhance developer velocity and team agility We re excited about you if you have BE MS or Ph D in Computer Science 10 years of experience in enterprise software development 2 years of management experience Strong technical leads might be considered 6 years of backend development experience in Go Java programming languages Experience building enterprise grade PaaS and SaaS products Solid understanding of engineering best practices agile software development methodologies building CI CD pipelines sprint planning and execution Strong Understanding of distributed systems and building systems at scale Ability to drive the architecture design and provide technical direction to the team Working experience with at least one Public cloud platforms - AWS Azure GCP Expertise with container technologies Kubernetes Docker Openshift EKS AKS GKE Google Anthos etc and cloud networking Experience with Cloud Storage Google Cloud Storage S3 EFS EBS ADLS You may also have Experience with Container Scheduling Experience working in open source Apache Hadoop Community and more broadly the Big Data ecosystem communities e g Apache Hadoop Apache Spark Apache Hive Experience working in the Cloud Native Computing Foundation CNCF community What you can expect from us Generous PTO Policy Support work life balance with 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 EEO VEVRAA LI-SV1