G24 - DevSecOps Engineer

Key Responsibilities

• Contribute to the infrastructure roadmap and deliver critical infrastructure changes for the project
• Configure and maintain the CICD pipelines incorporating streamlined change and release management process
• Maintain tools for configuration management, build, continuous integration, and deployment, reporting, monitoring etc.
• Implement and operate monitoring and alerting tools
• Implement scripts to automate server, CICD and other relevant tasks
• Participate and implement capacity planning and risk management
• Explore and adopt new and creative DevOps approaches to improve production reliability and availability.
• Implement security practices that comply with standards to protect the organization's data & infrastructure.
• Working in highly collaborative teams and building quality environments.
• Ability to effectively prioritize and execute tasks in a high-pressure, fast paced environment

Requirements

• 5+ years of relevant DevOps experience
• In-depth knowledge of programming languages such as Python,Ruby,Go,Javascript and Typescript
• Hands-on experience working on AWS
• Hands-on experience with containerization using Docker, and ECS/Kubernetes
• Good understanding of virtualization and networking concepts
• Hands-on experience with configuration management systems such as Terraform, Packer and Ansible
• Hands-on experience with production deployments such as ECS/Kubernetes and automating provisioning with IaC best practices.
• Hands-on experience in linux server administration, and shell scripting with Bash, and good to have other scripting languages.
• Knowledge in system architecture is a plus
• Has knowledge with tools such as Prometheus, Thanos, Grafana, ELK
• Experience with highly scalable distributed systems
• Breadth of knowledge - OS, networking, distributed computing, cloud computing
• Manage the operations of cloud infrastructure and application services
• Strong technical aptitude including excellent troubleshooting and communications skills
• Good understanding and working knowledge of Agile projects such as SCRUM and KANBAN
• Bonus: Familiarity AI/ML infrastructure