Software Engineer (Go, Kubernetes, Google Cloud Platform)

Software Engineer
Exciting new opportunity for a strong Software Engineer to use cutting edge technology and lead the company's cloud expansion for their most critical services.
RESPONSIBILITIES:

• 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.

This is a direct hire position.
This role is 5 days per week onsite in Atlanta.
Excellent work environment including a very cool office packed full of amenities (gym, clinic, food court, etc.), casual dress, very flexible hours, 401k match, bonus program, paid parking or MARTA / GRTA passes, and career growth into management and the opportunity to learn new technologies.
REQUIRED SKILLS:

• 2-5 years of professional software engineering experience
• Experience developing software in Linux or macOS environments
• Golang (or Python + Kubernetes + Google Cloud Platform)
• GitHub, GitLab, or similar
• Docker
• Kubernetes
• Google Cloud Platform
• Strong understanding of software engineering fundamentals, including data structures, algorithms, and system design

PREFERRED SKILLS:

• 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.

Must be authorized to work in the US. Sponsorships are not available.