Devops Engineer

Role: DevOps Engineer

Experience level: 2-3 years

Location: Chennai

Who are we?

Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a local presence in India and the UAE. The company was founded in 2012 with the vision of simplifying the world’s choices. Our flagship platform, maya.ai, helps enterprises across the Banking, Fin-tech, and Travel industries create and capture sustainable revenue streams by unlocking the value of data.

maya.ai's capability is driven by four “as a Service” components - Data, Recommendation, Customer Experience, and Marketplace - that work individually and together to create tangible results. Crayon Data recently won the E50 awards organized by KPMG and the Business Times in Singapore. Crayon was featured in HFS Hot Vendors Compendium in 2021. They were also among the top 15 finalists at Emerging Enterprise Awards 2019, Singapore.

Can you say “Yes, I have!” to the following?

Deploy and maintain critical applications on cloud-native architectures

Implement automation, effective monitoring and work towards infrastructure-as code

Deploy and maintain CI/CD pipelines across various environments

Support and work alongside a cross-functional engineering team on the latest technologies

Iterate on best practices to increase the quality & velocity of deployments

Sustain and improve the process of knowledge sharing throughout the engineering team

Version Control System - SVN, GIT preferred

CI Tools - Jenkins (end-to-end automation pipeline creation), Azure Devops, AWS code series or any other equivalent tools

Build Tools - Maven, Ant, npm

Scripting - Shell, Powershell, Python, Groovy (Jenkins Pipeline Scripting)

Cloud - AWS, Azure or GCP (Certified Cloud Expert)

Containerization - Docker, Kubernetes

Infrastructure as Code - Terraform, Cloudformation

Code Quality tool - Sonarqube

Ticketing Tools - JIRA

Configuration Management - Ansible or any equivalent tools

Artifact store - Nexus, Artifactory

Experienced in administering Linux and Windows server environments

Can you say “Yes, I will!” to the following?

Experience maintaining and deploying highly-available, fault-tolerant systems at scale

Practical experience with Docker containerization and clustering (Kubernetes/ECS)

Expertise with AWS/Azure/GCP

Excellent troubleshooting and problem-solving skills

Working knowledge in MySQL, PostgreSQL, NoSQL (Preferably DynamoDB or CosmosDB), Git, Jenkins/TravisCi/Gitlab, etc.