Lead DevOps Engineer - AWS & Azure

  • Hyderabad
  • Zazz
Database Management and Scaling : Architect and manage scalable MongoDB instances. Implement best practices for database scaling, backup, and disaster recovery. Monitor performance and optimize queries for high-volume data environments. Application Deployment : Lead the deployment of Node.js, PHP, and React.js applications across development, staging, and production environments. Ensure seamless CI/CD pipelines for these applications, focusing on automation, monitoring, and security. Advanced Infrastructure as Code (IaC) : Utilize Terraform, AWS CDK, CloudFormation, and Pulumi to develop sophisticated solutions, defining and deploying complex architectures. Enhanced CI/CD : Design and manage pipelines using Jenkins, AWS CodePipeline, and GitHub Actions, focusing on automation to streamline processes. Sophisticated Cloud Architecture Design : Collaborate to devise innovative solutions, optimizing application architecture for performance and cost-efficiency using services from AWS and Azure. Server Configuration and Management : Manage AWS (EC2, RDS, ELB) and Azure (Azure Functions, AKS, Cosmos DB) services, ensuring high performance. Containerization and Orchestration : Implement strategies using Docker, Kubernetes, and AWS ECS for robust, scalable applications. Comprehensive Monitoring and Logging : Utilize AWS CloudWatch, ELK stack, Prometheus/Grafana for proactive monitoring and swift issue resolution. Security and Compliance : Enforce security protocols using AWS and Azure tools (AWS Security Hub, Azure Security Center) to protect infrastructure. Backup and Disaster Recovery : Develop sophisticated strategies, ensuring data integrity and application continuity. Performance Optimization : Conduct analyses, and optimize AWS and Azure services for system efficiency. Collaboration and Documentation : Work across teams, document processes, and share best practices. Research and Innovation : Stay updated with cloud services, and DevOps trends, exploring innovative solutions. Cloud Cost Optimization and Multi-Cloud Strategy : Implement cost-control strategies and develop multi-cloud strategies leveraging AWS and Azure. Requirements Bachelor’s degree in Computer Science, Engineering, or related field. 7+ years of DevOps or cloud engineering experience. Proficiency in scripting CI/CD tools (Jenkins, GitLab CI/CD), and configuration management (Ansible, Puppet). Deep familiarity with AWS, Azure, containerization (Docker), and orchestration (Kubernetes). Solid understanding of SDLC, and Agile methodologies. Exceptional problem-solving skills, excellent communication, and teamwork capabilities. AWS and Azure certifications preferred.