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# Golang Developer

- **Company:** Insight Global
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Salary:** $115,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Apple Mac Systems, Application Release Automation, Cloud Computing, Data Structures, Linux, Distributed Systems, Github, Machine Learning, Object-Oriented Software Development, Open Source Technology, Software Engineering, Systems Integration, Google Cloud, Large Language Models, Prompt Engineering, Model Validation, Infrastructure as Code (IaC), Backend, Agentic-AI, Gitlab, Git, Containerization, Git Flow, Kubernetes, Information Technology, Build Tools, Graphql, Software Version Control, Docker, Golang
- **Published:** October 4, 2026
- **Apply:** https://dejobs.org/x/x/65E29741A53F4BABB24310E1F98D806F/job/

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). * 3+ years of professional software engineering experience. * Strong proficiency in Golang * Experience developing and supporting applications in Linux/macOS environments. * Strong foundation in software engineering principles, including data structures, algorithms, system design, and object-oriented programming * Experience designing, building, or supporting distributed systems with a focus on scalability, performance, availability, and observability * Hands-on experience with Docker, Kubernetes, and containerized application development. * Experience working with Google Cloud Platform (GCP) * Experience with Git-based source control and modern development workflows (GitHub, GitLab, etc.). * Experience implementing or supporting CI/CD pipelines, platform engineering practices, and developer productivity tooling. * Understanding of infrastructure and platform
concepts, including networking, compute, storage, security, containers, and platform operations. * Familiarity with Infrastructure as Code (IaC), GitOps, and Kubernetes ecosystem tools. * Experience building or integrating GraphQL APIs (types, queries, and mutations) in backend services. Experience working in Agile software development environments. - Professional experience administering or developing with Bazel or other large-scale build systems. - Experience with AI application development using modern LLM platforms, including agentic workflows, skills/tool definitions, prompt engineering, model evaluation, or integration with commercial and open-source AI models. - Experience developing CLI tools and developer workflows. - Experience creating or maintaining Kubernetes Custom Resource Definitions (CRDs) and custom controllers/operators. - Experience troubleshooting complex build, deployment, or infrastructure-related issues across large distributed systems.
Experience with developer platforms or internal engineering productivity initiatives.

## Description

An Insight Global FinTech client is looking for a mid-career software engineer to join their Atlanta-based team. In this role, you will contribute to the development of scalable, modern platforms that power critical business services and support their continued evolution in cloud-based technologies. You will be part of a unique team within the their platform that owns the end-to-end software lifecycle-from development and build systems to testing, release automation, and platform operations. The scope of work is broad and includes software development, CLI tooling, CI/CD pipelines, infrastructure as code development, and root cause analysis of complex engineering issues.This role is ideal for engineers who enjoy solving complex technical challenges, working across different layers of the stack, and building systems that are robust, scalable, and impactful.

Position Summary & Key Areas of Responsibility * Design, build, test, operate, and continuously improve platform engineering solutions. * Own technical problems end-to-end, collaborating with stakeholders and engineering teams to deliver scalable, reliable solutions. * Contribute to product and platform roadmaps with consideration for performance, reliability, observability, operability, and testability. * Participate in root cause analysis, incident investigation, troubleshooting, and continuous improvement efforts. * Diagnose and resolve issues across internal systems and downstream dependencies, partnering with other teams when necessary. * Follow established engineering standards, contribute to technical discussions, and provide constructive feedback to improve processes and tooling. * Demonstrate strong teamwork, accountability, and a growth mindset through continuous learning and collaboration.