Senior DevOps Engineer
r3 Consultant
Location: Bangalore
Work Mode: Work From Office (5 Days a Week)
Experience: 3+ Years
CTC: Up to ₹16 LPA (Depends upon experience range)
Notice Period: Immediate Joiners / Serving Notice Period (Immediate to 30 Days)
Education: B.Tech, B.E., MCA, M.Sc., B.Sc., or BCA in Computer Science/IT with relevant industry experience, or an equivalent qualification.
Roles & Responsibilities
- Lead enterprise-level DevOps initiatives and contribute to DevOps strategy, architecture, and automation roadmaps.
- Design, implement, and manage CI/CD pipelines and Infrastructure as Code (IaC) for cloud deployments.
- Manage AWS cloud infrastructure, containerized applications, and Kubernetes environments.
- Handle Kubernetes/EKS cluster management, deployments, scaling, troubleshooting, and production support.
- Work with Kubernetes components such as Deployments, Services, Ingress, ConfigMaps, Secrets, and Helm.
- Drive cloud migration, infrastructure automation, performance monitoring, and system reliability.
- Ensure projects are delivered within defined timelines, quality standards, and business requirements.
- Collaborate with stakeholders and cross-functional teams to drive technical initiatives.
- Mentor junior engineers and contribute to team development and best practices.
- Strong hands-on experience with AWS services, including EC2, VPC, RDS, S3, EKS, Lambda, Kinesis, ElastiCache, Route 53, and IAM.
- Strong experience with Kubernetes and Amazon EKS, including cluster management, deployments, scaling, troubleshooting, networking, and production support.
- Good understanding of Docker and containerization.
- Experience with Helm and Kubernetes components such as Deployments, Services, Ingress, ConfigMaps, and Secrets.
- Strong experience in Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, and Ansible.
- Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, ArgoCD, Azure DevOps, or equivalent.
- Experience with automation and configuration management tools such as Ansible, Puppet, Chef, or equivalent.
- Leadership and team management skills, with the ability to influence stakeholders and cross-functional teams.
- Strong written and verbal communication skills.
- Experience with APM and observability tools such as New Relic, Datadog, or similar platforms.
- Knowledge of Kafka/Kinesis and streaming or event-driven services.
- Experience with AWS Lambda and serverless architecture.
- Cloud assessment and migration expertise.
- Experience with monitoring, logging, and troubleshooting production environments.
- Strategic planning and a business agility mindset.