Platform Engineer Full Stack & AI Engineering Location:
Alpharetta, GA Hybrid, minimum 3 days onsite per week
Headcount:
1
Experience:
8+ years Type of hire:
FTC Rate:
65 $ P/H. Role Overview We are looking for a hands-on Platform Engineer with strong full-stack software development, platform engineering, and AI engineering experience to join the CPS Platform Engineering & Architecture (PEArch) team. The PEArch team designs, builds, and governs scalable, secure, resilient platform capabilities supporting critical Wealth Management applications. The team converts architectural standards into reusable engineering solutions, platform services, automation, and AI-enabled capabilities that application teams can adopt at scale. This is primarily a software engineering role with architecture responsibilities . It is not an infrastructure administration or architecture-review-only position. The engineer will own solutions end-to-end from architecture and design through coding, testing, CI/CD, deployment, observability, production readiness, and operational support. Key Responsibilities Full-Stack Software & Platform Engineering Design, develop, test, deploy, and operate production-grade APIs, backend services, web applications, and developer-facing platforms. Build self-service portals, infrastructure/platform catalogs, reusable components, and engineering automation. Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools. Write secure, maintainable, reusable, and well-tested production code. Participate in code reviews, solution design, troubleshooting, performance optimization, and technical decision-making. Own solutions throughout the complete SDLC, including CI/CD, deployment, rollback, documentation, monitoring, and operational readiness. Preferred Qualifications Experience within Wealth Management, banking, capital markets, trading , or other high-availability transaction-processing environments. Experience with API gateways such as Apigee . Experience with messaging technologies such as Kafka or MQ and distributed caching solutions. Experience with MCP integrations, AI-agent orchestration, vector databases/search, AI evaluation, and production AI monitoring . Knowledge of multi-data-center architecture, disaster recovery, SLOs, resilience engineering, and failure testing. Experience building Internal Developer Platforms (IDPs), service catalogs, policy-as-code , or automated architecture-governance solutions. Ideal Candidate Profile The ideal candidate is a hands-on engineer who can architect and build , rather than an architect who primarily reviews designs. We are particularly interested in candidates who demonstrate: Strong production-level coding capability. Full-stack application and platform engineering experience. Recent hands-on AI/LLM/Agentic AI development. Kubernetes and modern CI/CD engineering experience. Experience building reusable enterprise platforms and developer tooling. Strong understanding of resilience, observability, security, and production operations. Ability to work effectively across application engineering, SRE, cybersecurity, infrastructure, and architecture teams.
