Aws Devops Engineer

AWS DevOps Engineer

We are seeking a skilled AWS DevOps Engineer to join our team and drive our cloud infrastructure, containerization, automation, and observability efforts. The ideal candidate will have a strong background in AWS services, CI/CD pipelines, Docker, Kubernetes, cost optimization strategies, and implementing robust observability solutions.

Key Responsibilities:

Cloud Infrastructure Management
- Design, implement, and maintain scalable and secure AWS cloud solutions
- Provision and manage AWS resources including EC2 instances, S3 buckets, and VPCs
- Implement auto-scaling solutions to ensure resource availability during peak demand

Containerization and Orchestration
- Design and implement containerization strategies using Docker
- Develop and maintain Docker files for application containerization
- Set up and manage Kubernetes clusters on AWS (e.g., using Amazon EKS)
- Implement Kubernetes deployments, services, and ingress configurations
- Optimize container resource allocation and performance

CI/CD Pipeline Development
- Design, develop, and manage CI/CD pipelines using tools like AWS Code Pipeline or Jenkins
- Integrate Docker and Kubernetes into CI/CD workflows for containerized applications
- Automate build, test, and deployment processes to accelerate release cycles
- Monitor CI/CD processes for potential failures and bottlenecks

Observability and Traceability Implementation
- Design and implement comprehensive observability solutions across the entire application stack
- Set up and maintain distributed tracing systems (e.g., Jaeger, Zipkin) for microservices architectures
- Implement logging solutions for cloud resources and containerized applications
- Develop and maintain metrics collection and visualization using tools like Prometheus and Grafana
- Create and maintain dashboards for real-time system health monitoring
- Implement alerting mechanisms to proactively identify and address issues

Cost Optimization
- Analyze AWS spending using tools like AWS Cost Explorer
- Implement cost-saving measures such as utilizing Reserved Instances for long-running workloads
- Optimize container resource usage to minimize cloud expenses
- Continuously optimize cloud and container resource usage to minimize expenses while maintaining performance

Security and Compliance
- Implement and maintain security best practices for AWS environments and containerized applications
- Ensure compliance with industry standards and legal frameworks
- Conduct regular vulnerability assessments and implement necessary security measures for both cloud and container environments

Automation and Scripting
- Develop scripts and tools to automate repetitive tasks and streamline operations
- Utilize Infrastructure as Code (IaC) tools like CloudFormation or Terraform
- Create Kubernetes manifests and Helm charts for application deployment

Monitoring and Troubleshooting
- Set up and maintain monitoring systems using tools like AWS CloudWatch and Kubernetes-native solutions
- Leverage observability data for efficient troubleshooting and performance optimization
- Perform root cause analysis and resolve production issues promptly in both cloud and container environments

Collaboration and Communication
- Work closely with development and operations teams to integrate DevOps, containerization, and observability practices
- Provide technical guidance and mentorship to team members on AWS, Docker, Kubernetes, and observability best practices

Requirements:

- Bachelor's degree in Computer Science or related field
- Extensive experience with AWS services and cloud architecture
- Strong knowledge of Linux-based infrastructure
- Proficiency in scripting languages such as Python, Ruby, or Bash
- Experience with CI/CD tools like Jenkins, GitLab CI, or AWS CodePipeline
- Expertise in Docker containerization and Kubernetes orchestration
- Experience with container registries and image management
- Familiarity with service mesh technologies (e.g., Istio)
- Strong background in implementing and maintaining observability solutions
- Experience with distributed tracing systems (e.g., Jaeger, Zipkin)
- Proficiency in metrics collection and visualization tools (e.g., Prometheus, Grafana)
- Knowledge of database management (MySQL, MongoDB)
- Strong problem-solving and troubleshooting skills
- Excellent communication and teamwork abilities
- AWS certifications are a plus

Additional Skills:

- Experience with configuration management tools (Ansible, Puppet, Chef)
- Knowledge of Agile methodologies
- Familiarity with version control systems, preferably Git
- Experience with Helm for Kubernetes package management
- Knowledge of container security best practices
- Familiarity with log aggregation and analysis tools (e.g., ELK stack)

Join our team and play a crucial role in optimizing our cloud infrastructure, containerizing applications, automating processes, implementing robust observability solutions, and ensuring the reliability and efficiency of our software delivery pipeline.