Senior Software Engineer

3 weeks ago

Bengaluru, India Cloudera Full time
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 Senior 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 a Senior 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 if you have:4+ 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

Flexible WFH Policy

Mental & Physical Wellness programs

Phone and Internet Reimbursement program

Access to Continued Career Development

Comprehensive Benefits and Competitive Packages

Employee Resource Groups

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