Software Engineer II (Backend + ML)

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.

Join our Cloudera’s Machine Learning Platform team as a Backend Software Engineer. You'll contribute to our next-gen AI & Machine Learning platform. You'll help design, build, and deliver a platform that accelerates Machine Learning from exploration to production and supports the creation and deployment of Generative AI apps in a hybrid cloud environment.

Our team is well-versed in Kubernetes, Apache Hadoop, and major cloud platforms (AWS, Azure, Openshift). We integrate with various data sources, including Apache Hive, S3, HBase, and more, using Python, Spark, or R.

We're looking for an experienced backend engineer skilled in container orchestration technologies like Kubernetes and cloud platforms like AWS, Azure, Openshift, 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 the Software Engineer you will:

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

• 2+ 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.

It is a plus if you 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

• 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

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

Cloudera is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

#LI-SN1

#LI-Hybrid