Responsibilities
- Design and enhance real-time API infrastructure to ensure high scalability, minimal latency, and sustained uptime of 99.99% to 99.999%.
- Lead end-to-end development of cross-platform initiatives including event-driven systems, service mesh deployment, observability frameworks, and traffic control mechanisms.
- Create strategic roadmaps for API ecosystems prioritizing scalability, long-term maintainability, and fast iteration cycles.
- Apply enterprise-grade architectural standards while aligning immediate project delivery with future platform vision.
- Develop reusable components, automation pipelines, and internal tools to increase engineering efficiency across teams.
- Embed artificial intelligence across all architectural layers to enable intelligent, autonomous system behaviors.
- Guide technical architecture for customer-facing products and internal platforms.
- Advance agent-driven automation and leverage Model Context Protocol (MCP) for scalable AI workflows.
- Design unified system architectures that seamlessly connect APIs, backend services, and frontend interfaces.
- Drive complex initiatives from initial concept through to production deployment, shaping technical decisions across multiple engineering groups.
- Conduct in-depth technical evaluations, design reviews, and incident analyses to elevate engineering standards.
- Encourage use of AI-powered development tools such as GitHub Copilot, Cursor, Claude, and LLM-enhanced workflows.
- Foster system-level design thinking by promoting shared frameworks and modular codebases.
- Lead the Exponential Engineer Initiative to advance AI-first development using reusable agents and automated platforms.
- Champion agent-centric architecture, abstracted prompting strategies, and developer empowerment practices.
- Assess and integrate emerging technologies, particularly in Generative AI, to boost engineering output and product capabilities.
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid or remote options available
Team
Collaborative engineering environment with cross-functional teams focused on innovation and technical excellence
Responsibilities
- Architect and evolve our real-time API platform for scalability, low-latency, and high availability (4–5 9s uptime).
- Lead design and implementation of platform-wide projects, such as event-driven architecture, observability, service mesh integration, and rate-limiting strategies.
- Define roadmaps across API platforms with emphasis on scalability, maintainability, and rapid experimentation.
- Apply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goals.
- Build for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teams.
- Integrate AI into every layer of architecture to support thoughtful, agentic system design.
- Lead technical design across consumer products and internal platforms.
- Support agent-based automation and apply MCP to promote scalable AI workflows.
- Shape cohesive end-to-end architecture spanning APIs, services, and frontends.
- Bring complex projects from concept to production, influencing technical direction across multiple teams.
- Lead technical deep dives, reviews, and postmortems to improve engineering quality.
- Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows.
- Advance system-level thinking and reusability through shared scaffolds and frameworks.
- Lead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platforms.
- Promote agent-based design, prompt abstraction, and developer enablement across teams.
- Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.
Available for qualified candidates
