Job Description :
We are seeking a highly skilled and experienced Senior DevOps Engineer to join our engineering team.
The ideal candidate will have extensive hands-on experience with CI / CD pipelines, AWS cloud infrastructure, scripting for automation, and containerization.
The role requires proficiency in Groovy, Python, Unix, and DevOps toolsets, with a strong focus on infrastructure automation and operational excellence.
Key Responsibilities :
- Design, implement, and maintain CI / CD pipelines using Groovy scripting in Jenkins.
- Develop automation scripts using Python, Shell, and Unix scripting for monitoring, deployment, and operations.
- Perform Unix-level debugging and troubleshooting to resolve production and deployment issues.
- Build and maintain infrastructure on AWS using AWS CDK (Cloud Development Kit) to define infrastructure as code.
- Manage and configure key AWS services such as EKS, EC2, S3, IAM, VPC, and networking components.
- Utilize Docker to containerize applications, manage container lifecycles, and integrate them into DevOps pipelines.
- Collaborate with data and analytics teams using Dataiku for automation of data workflows (highly desirable).
- Work with various Command Line Interfaces (CLIs) for DevOps, cloud, and data tools for day-to-day operations.
- Integrate Ansible with cloud infrastructure for configuration management and automation.
- Optimize cloud resource usage and ensure best practices in security, scalability, and availability.
- Collaborate with cross-functional teams to ensure smooth delivery of software releases and updates.
Required Skills & Qualifications :
8+ years of total experience.5+ years in DevOps, Cloud, and AutomationStrong experience with Jenkins pipelinesEspecially for DevOps automation and Plotly visualizationsFor automation and troubleshootingDeep understanding of AWS APIs, services, and cloud networkingInfrastructure as Code (IaC) implementation experienceApplication containerization and orchestrationJenkins, Git, and related technologiesStrong system administration and troubleshooting skillsConfiguration management and orchestrationExperience working with data workflows and analyticsManagement of Kubernetes clusters on AWSFamiliarity with monitoring and logging tools such as Prometheus, Grafana, or CloudWatchref : hirist.tech)