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Architects and develops large-scale real-time backend services using C++ and distributed systems principles. Builds agentic AI solutions, data models, and inter-service communication layers with Protobuf and gRPC. Manages CI/CD through Jenkins and GitLab, creates performance benchmarking and load-generation tools, and monitors and troubleshoots cloud services using logging and monitoring tools.

Develop and optimize AI runtimes for large language models and other AI services, focusing on performance, cost efficiency, and scalability.

Leads DevOps platform engineering across Kubernetes, cloud infrastructure, data center orchestration, security services, and government environments. Defines technical roadmaps, architects infrastructure automation and security solutions, partners with service teams, promotes SRE practices such as infrastructure as code and observability, and mentors engineers. Requires production-scale SRE or DevOps experience, programming proficiency, cloud and Kubernetes expertise, CI/CD and monitoring experience, incident response participation, and strong communication skills.

The AI Engineer will design scalable APIs and SDKs for AI services, collaborate with AI research teams, and ensure API security and performance. Responsibilities include building processing systems, integrating services, and maintaining documentation.

Design, build, and maintain AI-embedded web applications and backend microservices. Implement end-to-end model lifecycle, data pipelines, CI/CD, observability, automated tests, and technical documentation while collaborating with product, research, and platform teams.

Serve as a trusted technical advisor for Federal clients, design and demo Zoom-based collaboration and telephony solutions, implement proofs of concept, respond to RFIs/RFPs, and translate customer needs into product recommendations and feature requests. Support Account Executives throughout the sales cycle and maintain advanced proficiency across video, voice, networking, security, APIs/SDKs, and AI.

The Software QA Engineer will manage test automation and validate software using various tools and programming languages, focusing on both manual and automated testing.

The Software Engineer will design and implement customer-facing software, focusing on security and cloud solutions, while collaborating with cross-functional teams.

Design, build, and operate ZoomMates agent harness and framework: orchestration, tool integration, memory, multi-step reasoning, SDK/API surfaces, evaluation and benchmarks, and production-grade services embedded into Zoom products.

Sell and grow Zoom's higher-education accounts in Florida by acquiring new logos, expanding and retaining relationships, engaging executive IT stakeholders, building pipeline, partnering with solutions engineers for demos and POCs, producing proposals and QBRs, and meeting revenue targets for the full Zoom UCaaS portfolio.