Staff Full Stack Software Engineer, Machine Learning Platform

Business Area:

Seniority 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.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t just 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 is looking for a Staff Full Stack Software Engineer to join the Cloudera AI Team and help drive development of Cloudera’s next-generation artificial intelligence and data science platform. You will be responsible for helping design, build, and deliver a platform that accelerates AI from exploration to production. This role requires an empathetic mindset and close collaboration with backend engineers, data scientists, designers, and product management.

We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth. 

As a Staff Full Stack Engineer you will:

• Help build the leading platform for AI and machine learning in the enterprise

• Design, code, and implement clean and elegant user interfaces and workflows

• Work to enhance developer velocity and team agility

• Build strong relationships and collaborate with UX designers, other developers, quality engineers, as well as, Product Management, Field Engineering, and other external partners

We’re excited about you if you have (Required Experience):

• Bsc/Msc in related field or equivalent experience

• 4+ years of experience with web applications using Node.js, or other modern web services technologies

• Expertise in full stack development with client and server-side JavaScript/TypeScript (utilizing Node.js, yarn, npm, webpack, babel), SQL in microservices architecture

• Experience with modern JavaScript frameworks such as React, Angular etc.

• Experience with generative AI assisted software development 

• Hands-on experience with Docker containers, Kubernetes and Linux at the user level

• Self-driven and motivated, with a strong sense of ownership and craftsmanship.

• Strong written and verbal communication skills.

• This role is not eligible for sponsorship

You may also have: 

• Experience with AI, data science and machine learning applications (R, Python, Tensorflow, Spark, mlflow etc.)

• Experience using Big Data technologies like Spark, Hive etc.

• Proficiency in Python and/or Go

• Experience with large language models, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG)

• Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)

• Experience with cloud technologies (AWS, GCE, Azure, Openshift, Rancher)

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.

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

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