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# Software Engineer - Platform Engineering

- **Company:** GCLA MANAGEMENT LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Salary:** $130,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Release Automation, Cloud Computing, Cloud Engineering, Continuous Integration, Linux, Programming Tools, Distributed Systems, Open Source Technology, Productivity Software, Reliability Engineering, Software Engineering, Software Organization, Cloud Platform System, Large Language Models, Agentic-AI, Git, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Build Tools, Software Version Control, Docker, Golang
- **Published:** October 27, 2026
- **Apply:** https://www.careerjet.com/job/us252a518869df70f56ea8fdb56d73e77c/eaa

## 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.
 * Hands-on software development experience using Go (Golang).
 * Experience with Kubernetes, including Custom Resource Definitions (CRDs) and custom controllers/operators.
 * Experience supporting or developing platform engineering solutions.
 * Experience with CI/CD pipelines, release automation, and developer workflows.
 * Experience with cloud-native infrastructure, preferably Google Cloud Platform (GCP) or an equivalent cloud environment.
 * Experience troubleshooting distributed systems, deployment processes, or infrastructure-related issues.
 * Proficiency working in Linux or macOS development environments.
 * Experience with Git-based version control and modern software development practices.
 * Understanding of containers, networking, infrastructure, and distributed systems architecture., * Experience building internal developer platforms or developer productivity tools.
 * Experience with GitOps, infrastructure automation, and cloud-native tooling.
 * Experience with Docker, Kubernetes clusters, and container orchestration.
 * Familiarity with large-scale build systems such as Bazel.
 * Experience developing CLI tools or automating developer workflows.
 * Knowledge of observability, system performance, and reliability engineering.
 * Experience contributing to open-source projects.
 * Exposure to AI/LLM application development, agentic workflows, or AI-powered developer tools., * The ideal candidate is a collaborative, solutions-oriented engineer who enjoys working across software development, infrastructure, and platform operations.
 * You should be comfortable taking ownership of technical challenges, improving engineering processes, and building reliable tools that make development teams more productive.
 * Strong problem-solving skills, clear communication, and a continuous improvement mindset are essential.

## Description

** Please Note: Candidates must have current authrozation to work in the United States without employer sponsorship. **
About the Opportunity
We are seeking a talented Software Engineer II to join an established technology organization focused on building and improving modern cloud-native platforms and developer infrastructure.
This position is ideal for an engineer with hands-on experience in Go (Golang), Kubernetes, platform engineering, and CI/CD automation who enjoys solving complex technical challenges and developing tools that improve engineering efficiency.
You'll collaborate with engineering teams to design scalable solutions, streamline software delivery, and enhance internal developer platforms., * Design, develop, test, deploy, and maintain scalable platform engineering solutions.

 * Build and enhance cloud-native infrastructure and distributed systems.
 * Develop and maintain applications, services, and automation tools using Go (Golang).
 * Work with Kubernetes Custom Resource Definitions (CRDs), custom controllers, and operators.
 * Develop and optimize CI/CD pipelines, build systems, and release automation processes.
 * Support developer productivity initiatives, internal platforms, and engineering workflows.
 * Troubleshoot complex infrastructure, deployment, and application issues.
 * Participate in incident investigations, root cause analysis, and continuous improvement initiatives.
 * Collaborate with engineering teams to improve platform reliability, scalability, performance, and observability.
 * Contribute to technical design discussions, architecture decisions, and engineering best practices.