Staff Backend Software Engineer

Hybrid
Senior
🇮🇳 India
Software Developer
Software development

Business Area:

Engineering

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. 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 Staff 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 technical lead, you'll help shape our team's direction and enjoy significant growth opportunities.

As a Staff Backend Software Engineer, you will:

  • Help build microservices for Cloudera Machine Learning Platform
  • Design, code and implement elegant, scalable, enterprise-quality application services
  • Take charge of a team of Engineers and be the technical advocate for the team. 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:

  • 10+ years of backend development experience in Go/Java/Scala
  • Experience with at least one of the following Cloud technologies - Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP).
  • 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 product architecture and design
  • Adept team lead and mentor
  • 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:

  • Deep understanding of cloud-based networking
  • Experience working with frontend technologies, TypeScript and JavaScript frameworks like React
  • Stay up-to-date with the latest advancements in generative AI and machine learning
  • Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)
  • Experience with data science and Machine Learning tools (R, Python, Tensorflow, Spark, MLFlow etc.)
  • 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/Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits
  • 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-SG1

Management Level:

9 Individual Contributor

 

Cloudera Data Platform India Private Limited

Cloudera Data Platform India Private Limited

Cloudera empowers people to transform complex data into clear and actionable insights, serving as the preferred data partner for top companies in almost every industry

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