Lead I - DevOps Engineering

5 - 7 Years
2 Openings
Hyderabad

Required ASRE1 Technical Skills

Core Technologies

• Kubernetes (AKS/EKS): Extensive experience with EKS, AKS for managing and orchestrating containerized workloads

• Containerization: Proficiency in Docker and Helm for container management

• Infrastructure as Code (IaC): Expert-level knowledge in Terraform with focus on cloud-agnostic design

• Service Mesh (Istio): Knowledge of Istio is required for advanced container orchestration

• CI/CD Tools: Hands-on experience with Tekton, ArgoCD, and Bamboo

• Programming & Scripting: Strong automation skills in Python and shell scripting

• AI Tools (Copilot, Windsurf): Proficiency harnessing AI tools to implement IaC, CI/CD automation, and error reduction

• Ansible: Hands on experience creating/managing playbooks and executing strategies for runbook automation and CI/CD provisioning

Platform & Tools Experience

• JIRA and ServiceNow (SNOW) for project and incident management

• Bitbucket for version control and code collaboration

• Maven for build automation and dependency management

• Unix/Linux (*NIX) systems administration

• Microservices architecture understanding and implementation

• API testing frameworks (Web-driver, Cucumber preferred)

Monitoring & Observability

• Splunk for log management and analysis

• Datadog, Prometheus, and Grafana for monitoring and ing

Key Responsibilities

Cloud Infrastructure & Platform Management

• Design, build, manage, and optimize organizational cloud infrastructure on the Azure platform

• Develop and maintain Infrastructure as Code (IaC) templates using Terraform with cloud-agnostic principles for easy portability to other cloud platforms

• Manage and maintain Kubernetes clusters (EKS, AKS), including deploying, monitoring, and optimizing containerized applications

DevOps & Site Reliability Engineering

• Implement and maintain CI/CD pipelines using Tekton, ArgoCD, and Bamboo

• Create, deploy, and manage containerized applications using Docker and Helm charts within Kubernetes environments

• Manage incident response processes and conduct thorough root cause analysis as needed

• Support production deployments according to project demands and timelines

• Coordinate effectively with multiple teams simultaneously

Automation & Monitoring

• Develop automation solutions using Python and scripting languages

• Implement and maintain monitoring solutions using Prometheus, Grafana, and Datadog

• Manage log aggregation and analysis using Splunk

• Utilize automation tools to streamline operations

devops,ci/cd,api testing,cucumber,webdriverio,