Staff Software Engineer, Enterprise AI Platform
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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
Responsibilities
- Help build the leading platform for AI/machine learning in the enterprise
- Design, and code elegant, scalable, enterprise-quality application services
- 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
Benefits
- 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
