Business Area:
Engineering
Seniority Level:
Mid-Senior level
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.
Join our Cloudera’s Machine Learning Platform team as a Staff Backend Software Engineer. You'll contribute to our next-gen AI & Machine Learning platform. You'll help design, build, and deliver a platform that accelerates Machine Learning from exploration to production and supports the creation and deployment of Generative AI apps in a hybrid cloud environment.
Our team is well-versed in Kubernetes, Apache Hadoop, and major cloud platforms (AWS, Azure, Openshift). We integrate with various data sources, including Apache Hive, S3, HBase, and more, using Python, Spark, or R.
We're looking for an experienced backend engineer skilled in container orchestration technologies like Kubernetes and cloud platforms like AWS, Azure, Openshift, GCP. Attention to detail and a strong drive are key qualities we value. As a technical lead, you'll help shape our team's direction and enjoy significant growth opportunities.
As a Staff Engineer you will:
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Help build the leading platform for AI/machine learning in the enterprise
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Design, code and implement elegant, scalable, enterprise-quality application services
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Take charge of a team of Engineers and be the technical advocate for the team. Advocate for the implementation of Engineering best practices and coding standards
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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
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Work to enhance developer velocity and team agility
We're excited about if you have:
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8+ years of backend development experience in Go/Java/Scala
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Experience with building AI/ML platforms
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Experience with at least one of the following Cloud technologies - Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP).
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Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes
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Experience working with frontend technologies, TypeScript and JavaScript frameworks like React
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Demonstrate ability to go deep into technology and complex distributed systems
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Experience in crafting product architecture and design
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Adept team lead and mentor
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Experience building scalable, robust and secure enterprise applications
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Self-driven and motivated, with a strong sense of ownership and craftsmanship
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Strong written and verbal communication skills.
It is a plus if you have:
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Deep understanding of cloud-based networking
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Stay up-to-date with the latest advancements in generative AI and machine learning
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Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)
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Experience with data science and Machine Learning tools (R, Python, Tensorflow, Spark, MLFlow etc.)
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Experience using Big Data technologies like Spark, Hive etc.
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Proven track record of collaborating with agile teams across geographically dispersed locations
What you can expect from us:
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Generous PTO Policy
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Support work life balance with Unplugged Days
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Flexible WFH Policy
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Mental & Physical Wellness programs
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Phone and Internet Reimbursement program
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Access to Continued Career Development
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Comprehensive Benefits and Competitive Packages
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Paid Volunteer Time
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Employee Resource Groups
Cloudera is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Top Skills
What We Do
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community,