Software Development Engineer

Zoom•San Jose, CA

13d•$187,075 - $228,700•Hybrid

About The Position

This role focuses on full-stack platform development, 3rd-party integrations and API development, AI and intelligent systems development, technical leadership and architectural governance, system reliability and performance optimization, and mentorship and collaboration. The engineer will design, develop, test, deploy, and maintain scalable systems, backend services, and frontend applications for Zoom Apps, SDK, and platform integrations. Responsibilities include coding algorithms for event-driven systems, building responsive web apps, designing cloud-native infrastructure, implementing integrations with enterprise platforms, architecting REST APIs and SDKs, building AI-powered features with LLM services, designing agent-based orchestration systems, and establishing engineering standards. The role also involves leading E2E tech delivery, driving architectural decisions, participating in design reviews and governance committees, defining tech roadmaps, designing observability infrastructure, debugging complex production issues, conducting performance profiling, and providing technical mentorship.

Requirements

Master's degree in Computer Science, Electrical Engineering, Information Systems Management, Computer Engineering, a related field, or a foreign equivalent.
2 years of experience in Javascript & Node.js
2 years of experience with Frontend technologies like React/Angular/Vue
2 years of experience with MVC backend technologies like Express/Node.js, Ruby on Rails, Django/Python
2 years of experience in Web APIs, OAuth APIs, REST APIs

Responsibilities

Design, develop, test, deploy, & maintain scalable, fault-tolerant distrib. systems, backend svcs., & frontend apps. for Zoom Apps, SDK, & platform integrations using Java, Python, JS, TS, Node.js, React, & Vue.js.
Code algorithms & business logic for event-driven systems w/ low-latency reqs.
Build responsive web apps. & UIs ensuring crossplatform compatibility across web, desktop, & mobile.
Design cloud-native infra. on AWS or equiv. supporting global App & SDK delivery, incl. autoscaling, distrib. caching, worker pools, msg. queuing, & CDN optimization at scale.
Design & implement prod.-grade integrations w/ enterprise platforms requiring OAuth 2.0/OIDC auth. flows, webhook mgmt., real-time data sync., & secure multi-tenant data sharing.
Architect & maintain backwards-compatible REST APIs & SDKs w/ rate limiting, idempotency, error handling, & dev. docs.
Ensure reliability through circuit breakers, retry logic w/ exponential backoff, & graceful degradation.
Enable dev. partners by solving complex integration challenges & providing tech. guidance.
Architect & build prod. AI-powered features incl. frontend UI & UX integrating LLM svcs. w/ prompt engineering, context mgmt., & conversational workflows.
Design agent-based orchestration systems w/ function calling & tool use patterns.
Build AI telemetry & governance frameworks ensuring data privacy compliance, audit trails, & responsible AI practices.
Implement cost optimization & fallback handling for AI svc. degradation.
Research & prototype emerging AI tech. to inform product strategy.
Lead E2E tech. delivery of complex, multi-quarter projects from initial architecture through prod. deployment.
Drive architectural decisions on system design trade-offs, tech. selection, & scalability patterns across SDK, Infra., Security, & Product orgs.
Lead design reviews evaluating components for scalability, security, & maintainability.
Establish engineering standards incl. API design, coding best practices, automated testing, & CI/CD pipeline design.
Participate in API governance committees & conduct security design reviews championing secure-by-design principles incl. input validation, least-privilege access, & secrets mgmt.
Define tech. roadmaps & collaborate w/ crossfunctional stakeholders (Product Mgmt., Design, Security, Infra.) to align implementations w/ business objectives & regulatory reqs.
Design & implement observability infra. incl. distrib. tracing, logging, metrics, alerting, & dashboards for incident detection & root cause analysis.
Debug complex prod. issues involving race conditions, bottlenecks, & cascading failures across microservices.
Conduct performance profiling, load testing, & capacity planning to optimize utilization & reduce infra. costs while maintaining svc. level objectives.
Implement resilience testing & DR procedures ensuring reliability under failure scenarios.
Provide tech. mentorship through code reviews, design feedback, & career dev. guidance.
Lead knowledge-sharing initiatives incl. tech. documentation & best practice workshops.
Build consensus on tech. decisions & unblock org. dependencies through clear communication & stakeholder mgmt.