Mandi Delhi Delhi Ai/ml & generative ai Jobs – 131 Open Jobs Today

Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)
Luxoft —Noida, Uttar Pradesh
- Azure
- DevOps
- English
1d
Senior Data Modeller
Capgemini —Noida, Uttar Pradesh
- SQL
- Flexible schedule
14d
SAP BTP LLM Developer-Senior
EY —Noida, Uttar Pradesh
- Computer Science
- Master's degree
- AWS
- Health insurance
Senior Data Modeller
Capgemini Sogeti —Noida, Uttar Pradesh
- SQL
- Flexible schedule
Module Lead, Data Science (LLM-as-a-judge)
BOLD LLC —Noida, Uttar Pradesh
- Master's degree
- SQL
- Machine learning
- Health insurance
- Paid time off
Senior Data Scientist
Optum —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
14d
Senior Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Doctoral degree
- Computer Science
[Services]: Sales Development Representative
Vinove —Noida, Uttar Pradesh
- AI
Quick apply
10d
Sr Executive - Sales
Ganit —Delhi, Delhi
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Tech Lead - Automation N 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
Principal Software Engineer- Agentic AI
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Master's degree
- Databases
- Continuous improvement
1h

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Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)

Luxoft -
Noida, Uttar Pradesh

Apply Now

Job details

1 day ago

Qualifications

CI/CD
Cloud infrastructure
Azure
Kubernetes
Ansible
Software deployment
DevOps
Configuration management
Git
English
Bash (Unix shell)
AWS
Cloud security
Terraform
Continuous integration
Splunk
Scripting
GitHub
AI
CyberArk
GitLab
Communication skills
Python
PowerShell

Full job description

Project description

We are looking for a Senior DevOps Engineer with strong expertise in AWS cloud technologies, Terraform, and Amazon Bedrock to support the design, automation, and operation of modern cloud-native platforms. The ideal candidate will bring hands-on experience in platform engineering, Kubernetes, Infrastructure as Code, CI/CD, and DevSecOps, while also being comfortable supporting AI/ML and Generative AI workloads in enterprise environments.

Responsibilities

Design, implement, and maintain scalable cloud-native platforms on AWS

Develop and manage infrastructure using Terraform and Infrastructure as Code principles

Build and enhance Kubernetes-based platforms running on Amazon EKS

Implement and optimize CI/CD pipelines and GitOps practices

Support AI/ML and Generative AI workloads, including Amazon Bedrock-based solutions

Automate infrastructure provisioning, configuration management, and operational processes

Implement monitoring, logging, and observability solutions across platform environments

Drive cloud cost optimization, performance tuning, and operational excellence

Collaborate with development, data, and security teams to deliver secure and reliable platforms

Promote DevSecOps practices and ensure compliance with security standards

Support MLOps processes including model deployment, monitoring, retraining, and lifecycle management

Troubleshoot complex infrastructure and platform issues while driving continuous improvements

Skills

Must have

9+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure

Strong hands-on experience with AWS cloud services

Proven expertise with Infrastructure as Code using Terraform

Experience designing and operating cloud-native solutions on AWS

Hands-on experience with Amazon Bedrock and AI/GenAI platform integrations

Strong knowledge of Kubernetes, preferably Amazon EKS, including Karpenter and Flux

Experience with CI/CD implementation using GitHub Actions, GitLab CI, or Azure DevOps

Experience with configuration management tools, preferably Ansible

Strong scripting skills in Python, Bash, and/or PowerShell

Experience with observability and monitoring solutions (Prometheus, Grafana, OpenTelemetry, Splunk)

Knowledge of secrets and configuration management solutions (AWS Secrets Manager, Azure Key Vault, CyberArk)

Understanding of MLOps practices, model deployment, monitoring, and automation

Strong understanding of cloud security, DevSecOps, and compliance best practices

Experience integrating security controls and policy enforcement into CI/CD pipelines

Excellent problem-solving and communication skills

Nice to have

AWS certifications

Experience with AIOps implementations

Experience in enterprise-scale Kubernetes environments

Knowledge of FinOps and cloud cost governance

Multi-cloud exposure (Azure/GCP) is a plus

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

Noida, India

Req. VR-124174

DevOps

BCM Industry

02/09/2026

Req. VR-124174

Apply Now

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