Description
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
The Opportunity: The DevOps department consists of various roles, including DevOps, DevSecOps, and SRE Engineers. The department's main goal is to improve Agoda’s IT systems and the daily lives of all our engineers. This role is perfect for anyone who wants to make a huge impact and see the multiplying effect of even tiny improvements.
In this role, you'll get to:
- Implement AI-powered code reviewing assistants: Integrate and manage AI tools to automate code quality checks, providing developers with instant feedback on best practices and security.
- Enhance developer productivity through AI: Evaluate and deploy AI-driven tools to streamline the coding process.
- Design, implement, document, and advocate best practices, templates, and guidelines in an entire SDLC.
- Build a DevOps-as-a-service platform to provide services to all Agoda engineers in an automated way.
- Utilize and optimize large-scale Kubernetes clusters: Leverage existing Kubernetes infrastructure to build tools for automation, abstraction, and efficient workload scaling.
- Maintain and evolve DevOps services and internal developer portals: Manage core services like version control, container registries, central monitoring, and build systems, while contributing to the development of internal portals to centralize developer resources.
- Build and participate in communities for all things related to software development in Agoda.
What You'll Need to Succeed:
- Fresh graduates are welcome to apply. Preferably less than two years of experience.
- Eager to learn and experiment with new technologies, including GenAI and LLMs.
- Passion for automating and testing everything.
- Coding skills in a modern programming language (preferably Go, Python).
- Basic knowledge of Development ecosystem: Bash/Git/Docker.
It's Great if you have:
- Experience using and managing modern CI systems (Gitlab, Github Actions, Jenkins, CircleCI, TeamCity, etc.).
- Experience or interest in prompt engineering and integrating AI APIs into automation workflows.
- Working Kubernetes knowledge.
- Configuration Management (e.x. Ansible, Terraform) experience.
- Experience creating CICD pipelines and/or configuration as a code.
- Advanced Docker knowledge.
- Open Source contributions.