Live opening · Posted 23 days ago

Senior DevOps Engineer

tecHindustan · Sahibzada Ajit Singh Nagar, Punjab, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 23 days ago
CompanytecHindustan
LocationSahibzada Ajit Singh Nagar, Punjab, India (On-site)
Work modeNo
SkillsAWS, Azure, Docker, Kubernetes, Terraform
SourceLinkedin
ListedPosted 23 days ago

About the role

Description supplied by the original job listing.

We are looking for a Senior DevOps Engineer with strong expertise in AWS and Azure cloud platforms to design, implement, and manage scalable, secure, and highly available infrastructure. The ideal candidate should have hands-on experience with CI/CD pipelines, monitoring, alerting, automation, and cloud-native DevOps practices to support modern application and AI-driven platforms.
Key Responsibilities
Design, implement, and manage cloud infrastructure on AWS and Azure
Build and maintain CI/CD pipelines for automated deployments
Set up and manage monitoring, logging, and alerting systems
Automate infrastructure provisioning using Infrastructure as Code (IaC) tools
Optimize cloud costs, performance, and reliability
Manage containerized environments and orchestration platforms
Implement security best practices across infrastructure and pipelines
Support production releases, troubleshooting, and incident management
Collaborate with development, QA, and architecture teams
Skills & Experience
Strong hands-on experience with AWS and Azure cloud services
Expertise in CI/CD tools (GitHub Actions, Jenkins, GitLab CI/CD, Azure DevOps, etc.)
Experience with monitoring & alerting tools (Prometheus, Grafana, CloudWatch, Azure Monitor, ELK, etc.)
Infrastructure automation using Terraform, CloudFormation, ARM/Bicep or similar
Experience with Docker, Kubernetes, container orchestration
Solid understanding of networking, security, and cloud architecture
Experience managing production-scale environments
Strong troubleshooting and automation mindset
Nice to Have
Experience with AI/ML infrastructure or data pipelines
Knowledge of serverless architectures
Experience with performance optimization and cost governance
Certifications in AWS/Azure DevOps or Cloud Architecture

Work arrangement
No

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