At Cloudera, we believe that data can make what is impossible today, possible tomorrow.
Software Engineer GO
Location
United States
Posted
94 days ago
Salary
0
Seniority
Mid Level
Job Description
Software Engineer GO
Cloudera
Business Area: Engineering Seniority Level: Associate 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 Warehouse (CDW) is a cloud-native, self-service data service to provide highly performant, independent, and scalable data warehouses – like Impala and Hive – for business intelligence (BI) and analytics workloads. It is a containerized application (a "Data Service") within the Cloudera Data Platform (CDP) deployed on Kubernetes into public and private cloud environments. We are looking for an experienced engineer who is familiar with Kubernetes, Go and cloud technologies such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform to help us build robust and scalable data infrastructure software. As a Software Engineer you will: - Design, implement, test and release new features and enhancements for Cloudera Data Warehouse - Collaborate with product management, engineering, support, UX, and documentation teams to deliver features and enhancements - Provide support to our field team and customers, facilitating product adoption and growth, smooth implementation and troubleshooting We’re excited about you if you have (Required Experience): - BS/MS in Computer Science or a related field, and 2+ years of relevant work experience - Knowledge and hands-on experience with Kubernetes, Helm and Docker containerization - Solid Golang programming skills - Strong written and verbal communication skills, collaborative mindset. And, comfortable interacting online with a worldwide team - Some Experience/Familiarity working with cloud services such as relating to Authentication/Authorization, Managed Kubernetes, VMs, Storage services on any of Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform - Experience supporting high customer impact systems in production and on-call rotations You may also have: - Experience writing Kubernetes Operators - Experience with DevOps, Linux Troubleshooting 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. 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 EEO/VEVRAA #LI-BV1 #LI-REMOTE
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