Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob 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.
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
EEO/VEVRAA
#LI-BV1
#LI-REMOTE
