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About the job

Location: Atlanta, Georgia

Type: Direct Hire

Job #23005

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.

RESPON SIBILITIES :

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 GitHub, GitLab, or similar Docker Kubernetes GCP 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.

Job Details