Senior DevOps Engineer
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Salary
≈ $17k – $40k per year (Estimated)
Location
In office (Mohali)
Seniority
Senior · 5+ years exp
First seen by Alion on Oct 28, 2026.
Overview
Company
Impact
Profile match
tecHindustan is an IT firm enabling startups and enterprises with a gamut of services, including web and mobile development, AI, IoT, UI/UX, cloud services, digital marketing and more across diverse global regions.
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.
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.
Requirements:
- 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 and alerting tools (Prometheus, Grafana, CloudWatch, Azure Monitor, ELK, etc. ).
- Infrastructure automation using Terraform, CloudFormation, ARM/Bicep, or similar.
- Experience with Docker, Kubernetes, and 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.
Skills
AWS, Amazon Web Services, Azure, CI / CD, DevOps, Docker, Kubernetes, Terraform
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