• Work on tasks you can see in the application • Be part of a cross-functional team • Deal with high-load systems and plan releases • Face real technical challenges • Work with AI assistants in your workflow

• Design, develop, and maintain cloud-native applications on Google Cloud Platform. • Build robust backend services using Python, FastAPI, Pydantic, and SQLAlchemy. • Work with PostgreSQL databases, ensuring performance, reliability, and maintainability. • Containerize applications using Docker and implement CI/CD pipelines. • Collaborate within a GitHub-based workflow. • Optionally contribute to frontend development.

• Improve Deepgram’s core inference services including areas in networking, speech processing, model orchestration, and observability • Develop integrations with cutting edge in-house, third-party, and open-source AI models for perception and managing conversational dynamics • Debug complex system issues that include networking, scheduling, and highly concurrent workloads • Rapidly customize backend services to support our customer needs • Partner with Product to design and implement new services, features, and/or products end to end

• Lead the design and development of full-stack solutions, with emphasis on event-driven microservices, APIs, and data platforms • Drive iterative modernization by decomposing monoliths into shared, modular services • Build reusable capabilities aligned with product-centric domain models • Contribute to agentic architectures and intelligent automation that power seamless user experiences • Collaborate with cross-functional teams to deliver measurable business outcomes, not just features • Mentor junior developers and promote best engineering practices