• We are seeking a highly skilled and experienced Senior AWS DevOps Engineer to join our team. The ideal candidate will have in-depth expertise in AWS services, DevOps practices, and automation frameworks. This role involves designing and maintaining robust, scalable, and cost-effective cloud infrastructures while ensuring smooth application deployment, monitoring, and incident management.
• Experience: 5+ years in DevOps with significant experience in AWS cloud environments.
• AWS Expertise: Proficient in core AWS services like EC2, S3, RDS, VPC, Route 53, CloudFront, and IAM.
• Programming Skills: Strong coding skills in Python or Node.js for cloud application development and automation.
• DevOps Tools: Hands-on experience with Jenkins, GitLab CI/CD, and AWS DevOps tools.
• IaC Knowledge: Expertise in AWS CloudFormation, Terraform, or AWS CDK.
• Monitoring Tools: Proficient in CloudWatch, CloudTrail, AWS Config, and X-Ray.
• Networking: Advanced knowledge of AWS networking concepts and services.
• Soft Skills: Strong communication, problem-solving abilities, and a proactive mindset.

Role:

• Cloud Infrastructure Management

  • Design, implement, and manage AWS-based architectures ensuring high availability, fault tolerance, and scalability.
  • Optimize cloud resource usage for cost efficiency using AWS Budgets, Reserved Instances, and Cost Explorer.
  • Configure advanced networking setups including VPCs, VPNs, Direct Connect, NAT Gateways, and load balancers.

• Application Deployment and CI/CD

  • Deploy applications to EC2, ECS, and EKS using AWS tools like CodePipeline, CodeBuild, and CodeDeploy.
  • Develop and maintain CI/CD pipelines using Jenkins, GitLab CI/CD, or similar tools.
  • Write and deploy serverless applications using AWS Lambda and API Gateway.

• Infrastructure as Code (IaC)

  • Use CloudFormation, Terraform, or AWS CDK to automate infrastructure provisioning and management.
  • Develop and maintain reusable IaC templates for scalable deployments.

• Programming and Integration

  • Write cloud applications in Python or Node.js with integration into AWS services like SQS, SNS, DynamoDB, and Step Functions.
  • Configure and integrate messaging queues such as RabbitMQ or Kafka.

• Monitoring and Incident Management

  • Set up monitoring, logging, and alerts using CloudWatch, AWS Config, CloudTrail, and X-Ray.
  • Define proactive incident management protocols for high uptime and minimal disruption.

• Security and IAM

  • Implement IAM roles, policies, and permissions aligned with security best practices.
  • Ensure data security using encryption, firewalls, and secure access controls.

• Containerization

  • Build, deploy, and manage containerized applications using ECS, EKS, and AWS Fargate.
  • Optimize container orchestration workflows for performance and cost.

• Automation and Optimization

  • Automate deployments, scaling, and operational tasks using scripting (Groovy, Python, Node.js).
  • Continuously identify and implement cost and performance optimization strategies.

• Architecture Design

  • Design well-architected solutions based on AWS's Well-Architected Framework.
  • Evaluate and implement disaster recovery and backup solutions.