SW Engineer II

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 with platform engineering practices and tools, including GitOps, CI/CD, OCI artifacts, test infrastructure, or build systems.

Title: SW Engineer II

Location: Atlanta, GA, US (Onsite)

Salary: $116,000 $130,000 / yr

20% bonus.

Job description

Must-haves

• Kubernetes CRD custom controllers
• Go platform engineering
• Release automation pipelines
• Developer productivity platform initiatives
• GCP cloud-native infrastructure or equivalent

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.
• Support and enhance CI/CD pipelines, development workflows, build systems, and release automation processes.
• 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.

Basic Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience.
• Experience developing software in Linux or macOS environments.
• Experience with developing software using Go.
• Proficiency in at least one modern programming language, preferably Go.
• Strong understanding of software engineering fundamentals, including data structures, algorithms, and system design.
• Familiarity with distributed systems concepts and modern software architectures.
• Experience using Git-based source control workflows (GitHub, GitLab, or similar).
• Exposure to containerized application development using Docker and Kubernetes.
• Familiarity with cloud platforms, preferably Google Cloud Platform (GCP).
• Strong desire to learn and contribute across a broad technical landscape.

Preferred Qualifications

• Professional experience developing applications or tooling in Go.
• Experience designing, operating, or supporting distributed systems with consideration for scalability, performance, availability, and observability.
• Experience with platform engineering practices and tools, including GitOps, CI/CD, OCI artifacts, test infrastructure, or build systems.
• Experience working with Kubernetes clusters and associated ecosystem components.
• Familiarity with infrastructure automation and developer productivity tooling.
• Experience contributing to open-source projects.

Stand-out Qualifications

• 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.