Platform Software Engineer II Kubernetes Golang & Developer Platform

Veracity Ventures Inc.; Atlanta (GA); On-site; USD 140,000 - 180,000; Full time

Job summary

Veracity Ventures Inc. in Atlanta, GA is seeking a hands-on Platform Software Engineer II with deep Golang, Kubernetes CRDs, and GraphQL backend experience to help scale our internal developer platforms.

You will contribute across the software lifecycle—building cloud-native tooling, CLI utilities, CI/CD pipelines, and infrastructure automation—collaborating with multiple engineering teams. Onsite role, competitive compensation, and opportunities to influence platform reliability and developer

Qualifications

• Bachelor's degree or equivalent practical experience in CS/SE.
• At least 3 years of professional software engineering experience.
• Strong proficiency in Golang and Kotlin?
• Hands-on experience with Kubernetes CRDs and custom operators/controllers.
• Experience developing GraphQL backends using Golang.

Responsibilities

• Contribute across the software lifecycle including development, build systems, testing and CI/CD.
• Improve release automation, infrastructure tooling and platform operations.
• Develop internal developer platforms and productivity tooling.
• Collaborate across engineering teams to design scalable cloud-native solutions.

Skills

Golang

Kubernetes

GraphQL

CLI tools

DevOps

Distributed systems

Git workflows

Troubleshooting

Education

Bachelor's degree in CS/Software Engineering

Tools

Kubernetes CRDs

Go CLI tooling

GraphQL server frameworks

Job description

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.