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Staff Software Engineer - Enterprise AI

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Non-Verbal Communication
  • Teamwork
  • Empathy
  • Self-Motivation
  • Innovation

Roles & Responsibilities

  • 8+ years of experience building scalable microservices using Go, Node.js, or Java
  • Experience with microservices development (Go, GRPC, SQL) and design, plus server-side JavaScript tooling (Node.js, npm, webpack, babel)
  • Experience with platform software development using Kubernetes and cloud technologies (AWS, GCE, Azure)
  • Self-driven with a strong sense of ownership, excellent written and verbal communication skills

Requirements:

  • Help design, build, and deliver a platform that accelerates ML/AI from exploration to production and enables Generative AI applications with enterprise data at scale
  • Design, code, and implement elegant, scalable, enterprise-quality application services
  • Enhance developer velocity and team agility
  • Collaborate with platform and UI engineers, data scientists, designers, product management, field engineering, and external partners to drive outcomes

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.

Cloudera is looking for a Staff Backend Software Engineer to join the machine learning 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. 

As a Staff Software Engineer you will:

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

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

  • Work to enhance developer velocity and team agility

  • 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

We’re excited about you if you have:

  • 8+ years of experience building scalable microservices using Go, node.js, or Java

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

  • Experience with server-side JavaScript tooling such as Node. js, npm, webpack, babel, etc

  • Experience with platform software development as Kubernetes

  • Experience with cloud technologies (AWS, GCE, Azure)

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

  • Strong written and verbal communication skills.

You may also have:

  • Experience with open source foundation models, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG)

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

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

  • Experience building scalable, robust and secure Enterprise applications

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

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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