AWS DevOps Engineer

Responsibilities

• Design and implement scalable and secure cloud infrastructure on AWS, utilizing services such as EC2, S3, RDS, and VPC.


• Automate the provisioning and management of AWS resources using Infrastructure as Code tools: Terraform, Ansible, and YAML.


• Collaborate with development teams to understand their requirements and translate them into cloud-based solutions.


• Develop and maintain Python and shell scripts to automate routine tasks, enhance efficiency, and ensure consistency.


• Containerize applications using Docker and deploy them in a Kubernetes cluster, ensuring high availability and scalability.


• Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab, or AWS CodePipeline.


• Optimize cloud resources for performance and cost-efficiency, employing tools like AWS Cost Explorer and CloudWatch.


• Stay up-to-date with AWS security and compliance best practices, ensuring the application of necessary patches and updates.


• Troubleshoot and resolve complex technical issues across Unix-based systems and AWS services.


• Advocate for a No-Ops model, striving for console-less experiences and self-healing systems.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.


• Minimum 7 years of experience in a similar role, with a strong focus on AWS and Unix administration.


• Proficiency in Python and shell scripting for automation and task execution.


• Expertise in cloud automation and Infrastructure as Code tools: Terraform, Chef, Puppet, Ansible, and YAML.


• Strong Unix administration skills, including system configuration, performance tuning, and troubleshooting.


• Experience with containerization technologies: Docker and Kubernetes.


• Understanding of security practices, policy management, and patching procedures.


• Ability to quickly triage and deploy on-demand solutions in a dynamic environment.


• Familiarity with serverless architectures and AWS Lambda functions is preferred.

Nice to Have

• AWS certifications such as Solutions Architect or DevOps Engineer.


• Experience with hybrid cloud or multi-cloud environments.


• Knowledge of monitoring and logging tools like Splunk, Datadog, or New Relic.


• Familiarity with container orchestration platforms like Kubernetes or Docker Swarm.


• Version control expertise with Git or similar tools.


• Understanding of microservices architecture and distributed systems.

Career Level - IC3

Responsibilities

• Design and implement scalable and secure cloud infrastructure on AWS, utilizing services such as EC2, S3, RDS, and VPC.


• Automate the provisioning and management of AWS resources using Infrastructure as Code tools: Terraform, Ansible, and YAML.


• Collaborate with development teams to understand their requirements and translate them into cloud-based solutions.


• Develop and maintain Python and shell scripts to automate routine tasks, enhance efficiency, and ensure consistency.


• Containerize applications using Docker and deploy them in a Kubernetes cluster, ensuring high availability and scalability.


• Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab, or AWS CodePipeline.


• Optimize cloud resources for performance and cost-efficiency, employing tools like AWS Cost Explorer and CloudWatch.


• Stay up-to-date with AWS security and compliance best practices, ensuring the application of necessary patches and updates.


• Troubleshoot and resolve complex technical issues across Unix-based systems and AWS services.


• Advocate for a No-Ops model, striving for console-less experiences and self-healing systems.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.


• Minimum 7 years of experience in a similar role, with a strong focus on AWS and Unix administration.


• Proficiency in Python and shell scripting for automation and task execution.


• Expertise in cloud automation and Infrastructure as Code tools: Terraform, Chef, Puppet, Ansible, and YAML.


• Strong Unix administration skills, including system configuration, performance tuning, and troubleshooting.


• Experience with containerization technologies: Docker and Kubernetes.


• Understanding of security practices, policy management, and patching procedures.


• Ability to quickly triage and deploy on-demand solutions in a dynamic environment.


• Familiarity with serverless architectures and AWS Lambda functions is preferred.

Nice to Have

• AWS certifications such as Solutions Architect or DevOps Engineer.


• Experience with hybrid cloud or multi-cloud environments.


• Knowledge of monitoring and logging tools like Splunk, Datadog, or New Relic.


• Familiarity with container orchestration platforms like Kubernetes or Docker Swarm.


• Version control expertise with Git or similar tools.


• Understanding of microservices architecture and distributed systems.