Software Engineer

Exciting new opportunity for a strong Senior 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 * 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.