GO Software Engineer- Card Services - 100% Remote

Sr. GO Software Engineer - 100% Remote

Description & Requirements:
Our client delivers technology solutions that are digitally transforming and empowering community banks and credit unions to provide enhanced and streamlined user experiences to their customers and members. Their best-in-class products are just the start as they lay the groundwork for the future of digital banking and payments. We hope you will join us. They cannot do it without you.

As part of a Platform Delivery Team, you will be at the center our client's Technology Modernization Strategy. In your daily activities as a GO Software Engineer, you will have the opportunity to work on a development team creating new banking applications and shared platform services using an innovative technology stack as well as engage daily with other Software engineers, DevOps engineers, Product owners and Business Analysts, on your team and across the organization.

This position can sit at any office location or Remotely in the US.

What you’ll be responsible for:

• Building, testing, deploying, maintaining, and scaling backend services in a microservices architecture using the Go programming language, datastores, asynchronous processing using events, and more.
• Working with your engineering teams to identify needs, prioritize and plan work, and develop solutions that keep pace with product development.
• Gaining a deep and comprehensive understanding of specific banking-related domains your team owns and working with and understanding how changes in those domains impact products.
• Participating with customer support teams to resolve or diagnose defects and issues.
• May perform other job duties as assigned.

• Minimum 4 years of programming experience.
• Minimum 1 year of programming experience with backend development using Go/Golang.
• This position will require a coding project for submission.

• A bachelor’s degree in computer science is desired but not required.
• Experience working in a microservices architecture.
• Experience developing cloud-hosted applications (e.g., Google Cloud Platform).
• Experience with AI, Machine Learning and/or experience with training Large Language Models (LLM).
• Experience with any or all the following: Infrastructure as code, continuous integration pipelines, observability, and monitoring, Cloud Spanner, Mongo Atlas, event-based or distributed systems, Docker, and Kubernetes (PaaS/Container orchestration platform).
• Self-motivation and the ability to work with independence.
• A sense of ownership of your deliverables, from working with the product manager to define the scope, all the way through supporting your work in production.