Sr. DevOps Manager

Experience: 10+ Years

Location: Bangalore / Pune (Hybrid)

We are seeking a highly skilled Senior DevOps Engineer who brings deep expertise across major cloud platforms, Infrastructure as Code (IaC), automation, CI/CD, and modern DevOps practices. This role requires a hands-on engineer who can design scalable systems, build robust deployment pipelines, drive engineering excellence, and contribute to long-term DevOps strategy. Strong communication, leadership, and the ability to guide teams through modern cloud-native and AI-powered DevOps solutions are essential.

Key Responsibilities

Cloud & Infrastructure

• Architect, implement, and manage cloud infrastructure across major cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP).

• Design and maintain highly available, scalable, and secure cloud environments.

• Implement Infrastructure as Code (IaC) using tools such as Terraform, AWS CloudFormation, Pulumi, or Azure Resource Manager (ARM) templates.

• Optimize cloud resource utilization and cost efficiency.

Automation & CI/CD

• Build, manage, and optimize CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, ArgoCD, or Spinnaker.

• Automate deployment workflows, configuration management, and operational processes using Ansible, Chef, Puppet, or shell scripting.

• Implement automated testing, security scans, and quality gates across pipelines.

Containerization & Orchestration

• Build and maintain containerized applications using Docker.

• Deploy and manage workloads on Kubernetes, utilizing Helm Charts, Operators, and GitOps practices.

• Administer Kubernetes clusters using EKS, AKS, GKE, or self-managed environments.

Monitoring, Logging & Security

• Implement comprehensive observability solutions using Prometheus, Grafana, ELK/EFK Stack, Datadog, New Relic, Splunk, or CloudWatch.

• Define and enforce security best practices for cloud, network, and application infrastructure.

• Maintain compliance with security policies, IAM governance, and vulnerability management.

AI & DevOps Automation

• Integrate AI-enabled tooling to improve pipeline efficiency, incident prediction, capacity planning, and automated remediation.

• Evaluate and implement AI/ML-driven DevOps platforms such as AIOps, GitHub Copilot, Azure DevOps AI, or cloud-native AI services.

• Drive experimentation with generative AI for documentation automation, code quality improvements, and operational insights.

Leadership & Collaboration

• Lead and mentor DevOps engineers, fostering best practices in automation, cloud architecture, and operational excellence.

• Collaborate closely with engineering, security, architecture, and product teams to deliver reliable and scalable solutions.

• Influence technical decision-making and contribute to the long-term DevOps and cloud strategy.

• Participate in incident management and guide teams in root cause analysis and preventive measures.

Required Skills & Qualifications

• 10+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).

• Hands-on experience with at least one major cloud provider AWS/Azure/GCP.

• Strong proficiency with IaC.

• Demonstrated experience building CI/CD pipelines and automating deployments.

• Strong scripting skills in Python, Bash, PowerShell, or Go.

• Solid understanding of networking, security principles, and distributed systems.

• Experience with containers and Kubernetes orchestration at scale.

• Familiarity with AI/ML concepts and practical exposure to AI-driven engineering tools.

• Excellent written and verbal communication skills.

• Ability to work in a fast-paced environment and lead cross-functional collaborations.

Preferred Qualifications

• Certifications: AWS Solutions Architect / DevOps Engineer, Azure DevOps Engineer, CKA/CKAD.

• Experience implementing GitOps with ArgoCD or Flux.

• Background in microservices architecture, serverless, or event-driven systems.