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U

Sr. Devops Engineer

UST
  • 🇮🇳 India
  • On-site
  • Senior
  • 12 hours ago
  • Devops
  • AKS
  • Kubernetes
  • EKS
  • CI/CD
  • Jenkins
  • Azure DevOps
  • Artifactory
  • IaC
  • Terraform
  • Python
  • FastAPI
  • Flask
  • Microservices
  • React.js
  • Docker
  • Helm
  • AI
  • Disaster Recovery
  • RBAC
  • Secrets Management
  • Incident Management
  • AI/ML
  • Slurm
  • Databricks
  • MLflow
  • RAG
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Lead I - DevOps Engineering

Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at.

You are:Lead the design, implementation, and operation of enterprise DevOps platforms, with AKS and On-Premises Kubernetes as the primary deployment platforms. The role will also support EKS, Rancher-managed Kubernetes, Vanilla Kubernetes, and Air-Gapped (No Internet Zone) environments, focusing on CI/CD, infrastructure automation, platform reliability, application deployment, security, observability, and engineering productivity.

The Opportunity:

·Lead the design and implementation of enterprise CI/CD platforms using Jenkins, Azure DevOps, and JFrog Artifactory.

·Own application and platform deployments across AKS, On-Premises Kubernetes, Rancher-managed Kubernetes, Vanilla Kubernetes, and EKS environments.

·Design and standardise deployment architectures for Cloud, Hybrid Cloud, On-Premises, and Air-Gapped (No Internet Zone) environments. Drive Infrastructure as Code (IaC) initiatives using Terraform.

·Design and standardise CI/CD pipelines for Python services, FastAPI/Flask APIs, microservices, and React applications.

·Define containerisation, deployment, release, rollback, configuration, and environment management standards using Docker, Helm, and Kubernetes.

·Support deployment, monitoring, operationalisation, and lifecycle management of ML models and AI services deployed on Kubernetes platforms.

·Lead software packaging, artefact management, dependency management, and deployment processes for secure On-Premises and Air-Gapped environments.

·Establish monitoring, logging, observability, security, backup, disaster recovery, and operational governance standards.

·Implement platform security practices covering RBAC, secrets management, container security, vulnerability remediation, and access controls.

·Lead application onboarding, release management, production deployments, operational support, and incident management. Partner with development, infrastructure, security, and platform teams to enable secure and scalable software delivery. Optimise platform scalability, availability, performance, resource utilisation, and infrastructure costs. Mentor DevOps engineers and provide technical leadership across projects and initiatives. Drive platform roadmaps, technology evaluation, capacity planning, documentation, and operational best practices.

What are we looking for:

·Design and standardise CI/CD pipelines for Python services, FastAPI/Flask APIs, microservices, and React applications.

·Define containerisation, deployment, release, rollback, configuration, and environment management standards using Docker, Helm, and Kubernetes.

·Support deployment, monitoring, operationalisation, and lifecycle management of ML models and AI services deployed on Kubernetes platforms.

·Support HPC cluster architecture, deployment, and operational practices for AI/ML, scientific computing, and distributed workloads.

·Deploy and manage Slurm-based HPC clusters, workload scheduling, resource allocation, and cluster operations.

·Support GPU-enabled infrastructure and GPU workload deployments.

·Work with high-performance storage solutions and distributed compute environments.

·Support Databricks and MLflow environments. Support ML model serving platforms and inference services.

Preferred Skills:

·Exposure to LLM, RAG, and AI Agent deployment patterns.

·Support Rancher-based multi-cluster Kubernetes management.

·Implement SRE practices including service reliability monitoring, incident reviews, and operational excellence initiatives.

·Support service mesh, distributed tracing, and advanced Kubernetes networking capabilities.

·Contribute to internal developer platforms and self-service deployment capabilities.

What we believe:

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the centre of everything we do.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honour our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.


UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

• To support and promote the values of UST.

• Comply with all Company policies and procedures

Sr. Devops Engineer · UST

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