GO Software Engineer - 100% Remote - IaC, CI/CD, Mongo Atlas, Docker, Kubernetes, GCP

Sr. GO Software Engineer - 100% Remote 

United States - 100% Remote

Sr. Level 

Description & Requirements

As part of our Platform Delivery Team, you will be at the center our 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 US office location or Remotely in the US. Working hours are flexible based on team need.

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 2 year of programming experience with backend development using Go/Golang.
• 1 year 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).
• Complete a coding challenge prior to applying.

• 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).
• 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.