DevOps Engineer

Summary

Join Payoneer's team as a DevOps Engineer and play a key role in supporting development, data engineering, and product teams. You will manage and monitor cloud infrastructure, optimize workflows, and design innovative solutions for scalable, high-performing systems. This role requires close collaboration with various teams to deploy to production, maintain workflows, and build pipelines. The ideal candidate will have at least 3 years of experience as a DevOps Engineer, strong experience with CI/CD tools, and a background in Linux system administration. Payoneer offers a hybrid or remote work environment and a global community of colleagues.

Requirements

• At least 3 years’ experience as DevOps Engineer\SRE Engineer\Platform Engineer
• BS degree in computer science, computer engineering, relevant technical discipline, or equivalent practical experience
• A minimum of 3 years of exposure running production workloads (AWS, Azure or GCP)
• Extensive experience with CI/CD tools like Azure DevOps, GitLab CI, or similar
• Microservices architecture & container orchestration (Docker and Kubernetes)
• Experience with IaaC tools (e.g. Terraform)
• Strong background in Linux system administration and shell scripting
• Strong problem-solving skills
• Experience with monitoring and logging solutions (e.g. Prometheus, Grafana and ELK(
• Proactive by nature; internal drive for excellence and improvement

Responsibilities

• Close support of development and data engineers’ teams
• Work together with Data Engineers, R&D, Analytics, and Product teams to deploy to production
• Manage and monitor cloud infrastructure to maintain production grade performance
• Monitor system performance, ensuring uptime, scalability, and effective resource utilization
• Maintain & deploy workflows / pipelines for data collection
• Scripting build pipelines for cloud operation tasks
• Architecture planning implementing of future features and solutions
• Offer and design architecture for data collections strategies
• Support Data engineers and suggest innovative design for new workflows
• Working with both on-premises and cloud infrastructure

Preferred Qualifications

• Experience with virtual environments such as VMware
• Proficiency in Google cloud services, especially those related container management
• Experience with relational and non-relational databases (Oracle, PostgreSQL, SQL, MongoDB)
• Experience with software development and development frameworks
• Knowledge and understanding Storage and Networking

Benefits

Hybrid or remote work frame