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
- 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.