Senior Frontend Software Engineer, Enterprise AI Platform at Cloudera

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 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 is seeking a Senior Frontend Software Engineer to join the Enterprise AI Platform team and drive the development of our next-generation AI and machine learning platform. You will help design, build, and deliver a platform that accelerates AI and machine learning from exploration to production, enabling enterprises to create and deploy Generative AI applications using foundation models at scale. This role requires collaboration with backend engineers, test engineers, data scientists, designers, and product managers.

We are looking for candidates with a startup mindset, self-motivated, innovative, proactive, and eager to make an impact. The role offers significant opportunities for growth.

As a Senior Frontend Software Engineer you will:

• Help build the leading platform for 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 are excited about you if you have:

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

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

• Experience with server-side JavaScript tooling such as Node.js, yarn, npm, webpack, babel, etc.

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

• Strong written and verbal communication skills.

You might also have:

• Experience with data science and machine learning tools (R, Python, Tensorflow, Spark).

• Experience with containerization (Kubernetes, Docker).

• Experience building scalable, robust and secure Enterprise applications.

• Containerization (Kubernetes, Docker, Buildah).

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

• Experience with microservices development (Go, GRPC, SQL).

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 immigrationsponsorship

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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