Platform Software Engineer II – Kubernetes, Golang & Developer Platforms
Location: Atlanta, Georgia
Work Arrangement: Onsite
Employment Type: Full-Time
The ideal candidate is a hands-on platform software engineer with strong experience in Golang, Kubernetes Custom Resource Definitions (CRDs), custom operators, GraphQL backend development, and internal developer platforms. This individual should enjoy building cloud-native engineering solutions, developing CLI tools, improving developer workflows, and troubleshooting complex systems.
The successful candidate will contribute across the software lifecycle, including application development, build systems, testing, CI/CD, release automation, infrastructure tooling, and platform operations.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- At least 3 years of professional software engineering experience.
- Strong proficiency in Golang or demonstrable professional experience developing software in Golang.
- Hands-on experience with Kubernetes Custom Resource Definitions (CRDs) and custom operators/controllers.
- Experience developing Golang-based CLI tools.
- Experience developing GraphQL backends using Golang, including schemas, types, queries, and mutations.
- Experience contributing to or engineering internal developer platforms or developer productivity tooling.
- Experience developing software in Linux or macOS environments.
- Understanding of software engineering fundamentals, including data structures, algorithms, testing, and system design.
- Familiarity with distributed systems and modern software architectures.
- Experience with Git-based source control workflows, such as GitHub or GitLab.
- Experience with containerized applications and Kubernetes.
- Strong analytical, troubleshooting, and problem-solving skills.
- Effective written and verbal communication skills and the ability to collaborate across engineering teams.
Preferred Qualifications
- Experience with Google Cloud Platform (GCP) and cloud-native technologies.
- Experience with platform engineering practices, including GitOps, CI/CD, OCI artifacts, test infrastructure, and build systems.
- Experience with infrastructure-as-code and developer productivity tooling.
- Experience designing and supporting distributed systems with attention to scalability, performance, availability, and observability.
- Experience with large-scale build systems such as Bazel.
- Familiarity with Agile, Scrum, and iterative software development practices.
- Experience contributing to open-source projects.
- Exposure to AI application development using large language model (LLM) platforms, agentic workflows, tool integrations, prompt engineering, and model evaluation.