Golang Developer

TEKsystems - Shawnee, KS

Full-time - Mid Level

Shawnee, KS

10,001+ employees

Professional, Scientific, and Technical Services

About the position

As part of the Wires Delivery Team, you will be at the center of our clients' Technology Modernization Strategy. In your daily activities as a GO Software Engineer, you will have the opportunity to work on a development team creating the new cloud application for wire services using an innovative technology stack. This role involves engaging daily with other Software engineers, DevOps engineers, Product owners, and Business Analysts, both within your team and across the organization. The work environment is fast-paced and fun, resembling a start-up company while being backed by a large, publicly traded company. This position can be worked remotely from anywhere in the US, with flexible working hours, although a minimum of 6 hours of overlap with the CST schedule is required.

Responsibilities

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

Requirements

• Minimum 5 years of programming experience.
• Minimum 2 years of programming experience with backend development using Go/Golang.
• Proactive engineer mindset with a focus on delivery, looking for solutions, proposing improvements, and effective communication.

Nice-to-haves

• 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 training Large Language Models (LLM).
• Experience with Infrastructure as code, continuous integration pipelines, observability, and monitoring, Cloud Spanner, Mongo Atlas, event-based or distributed systems, Docker, and Kubernetes.
• Self-motivation and the ability to work independently.
• A sense of ownership of deliverables, from defining scope with the product manager to supporting work in production.