Cloudera

Staff Software Engineer, Enterprise AI Platform

Cloudera  •  Austin, TX (Remote)  •  1 month ago
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Job Description

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.

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.

Join our Cloudera’s Machine Learning Platform team as a Staff Software Engineer. You'll contribute to our next-gen AI & Machine Learning platform and will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale in a hybrid cloud environment. This role requires an empathetic mindset and close collaboration with software engineers, designers, and product management.

In addition to experience with building AI/ML platforms or applications, we are also looking for prior experience/skills with container orchestration technologies like Kubernetes and cloud platforms like AWS, Azure, Openshift or GCP. Attention to detail and a strong drive are key qualities we value. As a senior engineer, you'll help our team develop and enjoy significant growth opportunities.


As a Staff Software Engineer you will:

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

  • Design, and code elegant, scalable, enterprise-quality application services

  • Implement AI application services powered by machine learning models

  • Advocate for the implementation of Engineering best practices and coding standards

  • 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 to enhance developer velocity and team agility

We are excited if you have (Required Experience):

  • 8+ years of experience building scalable microservices or applications using Go, C#/C++ or Java

  • Bsc/Msc in related field or equivalent experience

  • Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc.

  • Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.).

  • Experience building and deploying Generative AI applications

  • Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes

  • Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure

  • Demonstrate ability to go deep into technology and complex distributed systems

  • Experience in crafting high level and low level design

  • Experience building scalable, robust and secure enterprise applications

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

  • Strong written and verbal communication skills.

You may also have:

  • Experience with building applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.)

  • Full stack experience with React, HTML, CSS

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

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

  • Proven track record of collaborating with agile teams across geographically dispersed locations


This role is not eligible for immigration sponsorship or relocation

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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Cloudera

About Cloudera

Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.

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Recruitment Fraud Alert

It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.

Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.

If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.

Industry
IT & Software
Company Size
1,001-5,000 employees
Headquarters
Santa Clara, California
Year Founded
Unknown
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