DevOps with AWS and Gitlab

Key Responsibilities:


Pipeline Development and Optimisation:

Design, develop, and maintain CI/CD pipelines in GitLab from scratch

Optimise pipelines for performance, reliability, and scalability

Collaborate with development teams to integrate GitLab CI/CD pipelines into their workflows

Deployment Management:

Write deployment scripts and YAML files to automate the deployment of applications and services

Ensure seamless deployment processes across various environments (development, testing, production)

Testing Integration and Optimisation:

Integrate automated unit, integration, and regression tests written in Cucumber into the GitLab pipelines

Optimise the performance of running automated tests to ensure quick feedback cycles

Monitoring and Tooling:

Build and implement monitoring tools within GitLab to track pipeline performance, failures, and bottlenecks

Develop dashboards and alerting mechanisms to provide visibility into pipeline health

Must Have:


Proven experience as a DevOps Engineer, with a strong focus on GitLab CI/CD

Proficient in shell scripting and Windows PowerShell

Experience in writing deployment scripts and YAML files for automation and configuration management

Strong experience in integrating automated unit, integration, and regression tests written in Cucumber into CI/CD pipelines

Strong knowledge of monitoring and logging tools (Splunk, Grafana, Dx-APM)

Strong knowledge of Terraform, Kubernetes, Docker, Cactus, ArgoCD,

Strong Knowledge of AWS Solutions such as AWS IAM, AWS VPC, AWS EKS, AWS ACM, AWS R53, AWS S3, AWS EC2, AWS API Gateway, AWS Lambda, AWS EBS, AWS RDS, AWS Elastic Cache, AWS RDS proxy, AWS Transfer Family, AWS MSK, AWS Managed Prometheus. AWS Managed Grafana, AWS ECR, AWS Config, AWS Batch, AWS Secrets Manager, AWS KMS, AWS Backup, AWS WAF, AWS Shield, AWS Global Accelerator, AWS Guard Duty, AWS Inspector, AWS Cloud Trail, AWS Cloud Watch, AWS Event Bridge, AWS SQS, AWS SNS, AWS Budget, AWS Cost Explorer & AWS ELB.