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Sr Go/Golang Developer
2 months ago
Sr Go/Golang Developer
100% remote
12 months +
Pay Rate: $50-55/hr W2
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 as well as engage daily with other Software engineers, DevOps engineers, Product owners and Business Analysts, on your team and across the organization. Our client is annually recognized as one of the best tech companies to work for in the U.S. by Forbes and other local sources This is a fast-paced and fun work environment with a talented team engaging like a start-up company with the backing of a large, publicly traded company.
This position can be worked remotely anywhere in the US. Working hours are flexible but a minimum of 6 hours of overlap with CST schedule is required.
What you would 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.
What you would need to have:
- Minimum 7 years of programming experience.
- Minimum 2 year of programming experience with backend development using Go/Golang.
- Engineer mindset: proactivity and delivery, never sit idle waiting for others to tell you what to do. Look for solutions, propose improvements, communicate, participate.
What would be nice for you to have:
- 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.