Top Senior Golang Jobs in Philadelphia, PA

Leads the architecture, development, and evolution of cloud-native platform services, shared APIs, SDKs, automation, and developer self-service capabilities. Establishes standards for reliability, security, CI/CD, governance, observability, and scalable platform adoption. Drives AI-enabled engineering platforms, including LLMs, agents, MCP, and RAG, while providing technical leadership, mentoring, and cross-functional collaboration across engineering, product, security, architecture, and operations teams.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.

Design and maintain Golang backend services, APIs, microservices, automation tools, and Terraform infrastructure modules. Provision and manage cloud resources, troubleshoot application and deployment issues, and improve reliability and performance. Participate across the software development lifecycle, review code and infrastructure configurations, collaborate with technical teams, and communicate project risks. Use AI tools such as Claude, mentor colleagues, and contribute to client-focused technical solutions.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Design, build, and optimize high-throughput, highly available backend services in Golang for 24/7 sports and prediction-market applications. Lead architecture decisions, implement features, diagnose and resolve high-concurrency bottlenecks, and provide high-tier operational support for real-time transactional systems.

Lead the backend team, setting technical direction for a scalable platform, designing distributed systems in Golang, and mentoring engineers.