Associate Staff Engineer, Devops

Posted Yesterday
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Bengaluru, Karnataka
In-Office
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
The role involves managing Kubernetes clusters, CI/CD pipeline design, and optimizing cloud infrastructure for AI/ML workloads while ensuring system reliability and security.
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 39 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

Requirement:

  • Experience: 5+ years
  • Strong experience in DevOps or Site Reliability Engineering (SRE) roles.
  • Strong knowledge of Docker, Kubernetes, Terraform, and CI/CD pipelines.
  • Hands-on experience with AWS, Azure, or other cloud platforms.
  • Familiarity with GPU infrastructure and ML workloads is a plus.
  • Good understanding of monitoring and logging systems (Prometheus, Grafana).
  • Ability to collaborate with ML teams for optimized inference and deployment.
  • Strong troubleshooting and problem-solving skills in high-scale environments.
  • Knowledge of infrastructure security best practices, cost optimization, and performance tuning.
  • Exposure to vector databases and AI/ML deployment pipelines is highly desirable.

Responsibilities:

  • Maintain and manage Kubernetes clusters, AWS/Azure environments, and GPU infrastructure for high-performance workloads.
  • Design and implement CI/CD pipelines for seamless deployments and faster release cycles.
  • Set up and maintain monitoring and logging systems using Prometheus and Grafana to ensure system health and reliability.
  • Support vector database scaling and model deployment for AI/ML workloads.
  • Collaborate with ML engineering teams to optimize inference performance and resource utilization.
  • Ensure high availability, security, and scalability of infrastructure across multiple environments.
  • Automate infrastructure provisioning and configuration using Terraform and other IaC tools.
  • Troubleshoot production issues and implement proactive measures to prevent downtime.
  • Continuously improve deployment processes and infrastructure reliability through automation and best practices.
  • Participate in architecture reviews, capacity planning, and disaster recovery strategies.
  • Drive cost optimization initiatives for cloud resources and GPU utilization.
  • Stay updated with emerging technologies in cloud-native, AI infrastructure, and DevOps automation.

Qualifications

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

Top Skills

AWS
Azure
Docker
Grafana
Kubernetes
Prometheus
Terraform
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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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