Job description
This role is for one of the Weekday's clients Salary range: Rs 3500000 - Rs 4000000 (ie INR 35-40 LPA) 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.
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.
This job post has been translated by AI and may contain minor differences or errors.
