Sant Nagar Delhi Delhi Senior devops engineer Jobs – 10 Open Jobs Today

Senior Devops Engineer
Weekday —Delhi, Delhi
- ₹35,00,000 - ₹40,00,000 a year
- Full-time
- Azure
- DevOps
- AWS
Quick apply
3d
Senior Engineer - Devops
dunnhumby —Delhi, Delhi
- Azure
- DevOps
- Agile
- Flexible schedule
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Senior DevOps Engineer
Belzabar Software —Delhi, Delhi
- Computer Science
- Bachelor's degree
- Scripting
Senior Associate – DevOps Engineer (Data Business CoE)
Bain & Company Inc —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
12d
Senior DevOps Engineer
Networked Energy Services —Delhi, Delhi
- Azure
- DevOps
- English
Senior DevOps Engineer
Consilium Software —Delhi, Delhi
- Email
- Azure
- DevOps
- Java
Senior Devops Engineer
CardByte —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
Lead DevOps Engineer / Senior DevOps Engineer
POSist Technologies —Delhi, Delhi
- Full-time
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- DevOps
- AWS
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DISCO —Delhi, Delhi
- Azure
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- Health insurance
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Intelegencia —Delhi, Delhi
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Senior Devops Engineer

Weekday -
Delhi, Delhi

Quick apply

Job details

Full-time
₹35,00,000 - ₹40,00,000 a year
3 days ago

Qualifications

CI/CD
Cloud infrastructure
Azure
Go
Cloud architecture
Kubernetes
DevOps
Git
Bash (Unix shell)
AWS
Docker
Terraform
Continuous integration
Scripting
GitHub
Linux
AI
Jenkins
GitLab
Communication skills
Python

Full job description

This role is for one of our clients

Industry: Software Development
Seniority level: Mid-Senior level

Experience: 5+ yrs

Location: NCR

Job Type: full-time

We are looking for a highly skilled Senior DevOps Engineer to lead the design, automation, and management of modern cloud infrastructure with a strong focus on Kubernetes. In this role, you will be responsible for building scalable, secure, and highly available platforms that support mission-critical applications. You will drive infrastructure automation, CI/CD excellence, observability, and cloud operations while partnering closely with engineering teams to ensure seamless deployments and operational reliability.

Requirements

Key Responsibilities

Architect, deploy, and manage production-grade Kubernetes clusters to support scalable and resilient applications.
Design and maintain cloud infrastructure across AWS, Azure, or GCP using Infrastructure-as-Code (IaC)practices.
Build, optimize, and manage CI/CD pipelines to enable reliable and automated software delivery.
Implement GitOps workflows and deployment automation using modern DevOps tools.
Manage Kubernetes ecosystem components including Helm, ingress controllers, autoscaling, networking, and stateful workloads.
Establish and maintain monitoring, logging, and alerting frameworks to ensure system visibility and proactive issue resolution.
Lead incident response, troubleshooting, root cause analysis, and performance optimization initiatives.
Drive cloud security, secrets management, compliance, and infrastructure governance best practices.
Optimize infrastructure costs while maintaining performance, scalability, and reliability.
Develop operational runbooks, documentation, and automation frameworks to improve engineering productivity.
Collaborate with development teams to improve deployment processes and overall platform efficiency.

What Makes You a Great Fit

4–6 years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering (SRE) roles.
Deep hands-on expertise in Kubernetes administration, troubleshooting, scaling, and production operations.
Strong experience with cloud platforms such as AWS, Azure, or GCP.
Proficiency with Infrastructure-as-Code tools like Terraform and containerization technologies such as Docker.
Hands-on experience with CI/CD and GitOps tools including GitHub Actions, GitLab CI, Jenkins, ArgoCD, Flux, or similar platforms.
Strong scripting and automation skills using Bash, Python, Go, or other programming languages.
Experience implementing observability solutions using tools such as Prometheus, Grafana, and centralized logging platforms.
Solid understanding of Linux systems, networking fundamentals, security principles, and cloud architecture.
Strong problem-solving abilities with an automation-first and reliability-focused mindset.
Excellent communication and collaboration skills, with the ability to work effectively across engineering and operations teams.
A proactive, ownership-driven approach to building scalable infrastructure and driving continuous improvement.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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