Senior Staff Engineer (Cloud)

Posted 8 Days Ago
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Hiring Remotely in India
Remote
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Design and optimize LLM systems, manage scalable infrastructure, implement CI/CD and automation, and ensure system reliability and compliance.
Summary Generated by Built In
Company Description

👋🏼We're Nagarro

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500 experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

REQUIREMENTS:

  • Experience : 7.5+ Years
  • 10-12 years in infrastructure, platform, DevOps, or MLOps roles
  • Strong experience with cloud platforms (AWS/GCP/Azure) and Kubernetes
  • Hands-on experience deploying and operating LLMs (OpenAI, Anthropic, open-source models)
  • Proficiency with GPU infrastructure, model serving frameworks, and vector databases
  • Strong programming skills in Python; experience with Bash/Go is a plus
  • Experience with monitoring, logging, and performance tuning for distributed systems
  • Preferred Qualifications
  • Experience with LLM fine-tuning, RAG pipelines, and prompt/version management
  • Familiarity with tools like Terraform, Helm, Argo, Ray, or similar
  • Exposure to cost optimization strategies for large-scale AI systems

 

Responsibilities:

  • Design and manage scalable infrastructure for training, fine-tuning, serving, and monitoring LLMs
  • Build and maintain LLMOps pipelines (deployment, versioning, rollback, monitoring, evaluation)
  • Optimize inference performance (latency, throughput, cost) across GPU/accelerator stacks
  • Implement CI/CD, IaC, and automation for AI/ML workloads
  • Ensure observability, reliability, and governance of LLM systems in production
  • Collaborate with ML, platform, and product teams to operationalize AI solutions
  • Manage security, compliance, and access control for model and data pipelines

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Top Skills

Aws,Gcp,Azure,Kubernetes,Python,Bash,Go,Tensorflow,Pytorch,Terraform,Helm,Argo,Ray
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The Company
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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