Cloudera

Senior Software Engineer, AI

Austin, TX
Go Node.js C# Java GCP AWS Azure Python TensorFlow Spark MLflow R Microservices gRPC SQL Kubernetes Pinecone Milvus LangChain React HTML CSS Kubeflow KServe Knative Trino Airflow Apache Hive Impala Machine Learning AI Generative AI Prompt Engineering Retrieval-Augmented Generation Vector Databases Big Data Distributed Systems
Description

Senior Software Engineer, AI

Location: USA > Texas > Austin

Remote Type: Hybrid

Time Type: Full time

Job Description

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.

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 looking for a Senior Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera’s next-generation AI and machine learning platform. You 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. This role requires an empathetic mindset and close collaboration with frontend / web UI 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.

Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here.

As a Senior Software Engineer you will:

  • Help build the leading platform for AI and Machine Learning in the enterprise.

  • Design, code, and implement elegant, scalable, enterprise-quality AI application services powered by machine learning models.

  • Work to enhance developer velocity and team agility.

  • Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners.

We are excited if you have (Required Experience):

  • 5+ years of experience building scalable microservices or applications using Go, Node.js, C# or Java.

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

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

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

  • 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 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.

  • Full stack experience with React, HTML, CSS.

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

  • Deep understanding of cloud-based networking

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

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

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

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

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Cloudera
Cloudera

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