Position: Senior DevOps Engineer (GCP/AWS)
Company: EPAM
Experience required: 5y
English level: intermediate

It blends unique data, analytics, and technology with a passion for serving customers globally, to create insights that power decisions to move people forward.The company plans to expose REST APIs using microservices to perform such functions as credit file lock, freeze, fraud alert, and dispute. The main project focus is migration of the current functionality from legacy platform into new cloud microservices-based platform.

PROJECT TECHNOLOGY & TOOLS

AWS/GCP
Terraform
Kubernates/GKE/Helm
Jenkins
Git/BitBucket
RESPONSIBILITIES

Collaborate with Application Development teams on their CI/CD pipelines. Be able to build hybrid CI/CD models. Technologies required: Jenkins, Nexus, Java Spring Boot, Container Registry
Be an Automation Evangelist - Evangelize automating processes wherever feasible to increase agility and improve quality
Assist with the development of the Cloud Infrastructure DevOps pipeline to automate deployment of GCP infrastructure to ensure standardized, highly available, and secure solutions
Engage additional teams (Security, Network, etc.) as appropriate and lead through resolution of issues
REQUIREMENTS

Experience in infrastructure automation using Terraform
Required expertise in Helm, specifically knowledge of ways how to secure Helm
Experience in source control solutions such as BitBucket
Experience in applications' deployment on Kubernetes engine (GKE)
Ability to create Docker images and deploy applications
Awareness of quality controls within CI/CD pipelines and experience with configuring Fortify, SonarQube tools into the process
Excellent problem-solving skills, including the ability to analyze situations, identify existing or potential problems, and recommend sound conclusions and implementation strategies
Good command of both verbal and written English (Intermediate or higher level)
NICE TO HAVE

Stackdriver and DataDog for logging and monitoring
Familiarity with GCP BigData services (huge plus)