Lead DevOps Engineer for Data, Analytics, and Technology Company
Currently, we are looking for a remote Lead DevOps Engineer.
Our client is a global data, analytics, and technology company headquartered in Atlanta. It operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. 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 a migration of the current functionality from a legacy platform into a new cloud microservices-based platform.
Responsibilities
- Collaborate with Application Development teams on their CI/CD pipelines. Be able to build hybrid CI/CD models
- 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 with Helm, specifically knowledge about ways of securing Helm
- Experience in source control solutions such as Bitbucket
- Experience in deployment of applications on Kubernetes engine (GKE)
- Ability to create Docker images and deploy applications
- Proficiency in the following technologies: Jenkins, Nexus, Java Spring Boot, Container Registry
- Awareness of quality controls within CI/CD pipelines and experience in configuring Fortify, SonarQube tools into the process
- Experience in Go programming language
- 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 Big Data services
Benefits in eligible locations
For you
- Voluntary health insurance for you (100% covered) and your family (with corporate discount)
- Individual sessions with professional psychologists and coaches
- Free corporate sports and wellness programs
- Stable income
- Paid time off
For your comfortable work
- 100% remote work forever
- Free licensed software
- Possibility to work on your own device (BYOD)
- Stable workload
- Relocation opportunities
- Flexible engagement models
For your growth
- Free trainings for technical and soft skills
- Access to LinkedIn Learning platform
- Language courses
- Access to internal and external e-Libraries
- Certification opportunities
- Skill advisory service
40 hrs/week
Hours per week
12+ months
Project length
Belarus, Brazil, Chile, China, Colombia, Italy, Russia, Ukraine
Locations eligible for the position
