Jason Pollman

Architected platform capabilities using TypeScript, Node.js, and AWS Lambda. Integrated third-party SaaS APIs and internal microservices while maintaining clear service boundaries for high-volume messaging. Collaborated with AI/ML engineers to prototype conversational intelligence for workspace search. Enhanced RESTful APIs for web and mobile experiences with a focus on latency reduction and scalability, added integration tests using Jest and Playwright, and modernized legacy services toward container-based deployments (ECS/Kubernetes) where practical. Managed OAuth and SAML authentication integrations, supported production incident debugging with Datadog, and contributed to CI/CD pipelines via GitHub Actions with production monitoring using Splunk and dashboards. Mentored engineers and led weekly remote architecture discussions to align distributed initiatives.

Delivered end-to-end feature rollouts using TypeScript and Python for real-time feed experiences. Refactored backend job processing into independent microservices to improve throughput and isolate failure domains. Improved latency through Redis caching and asynchronous message processing, and implemented monitoring/alerting using Splunk and Grafana. Coordinated staged releases with global teams, analyzed incidents with Sentry and Datadog, and contributed to internal AI-enabled topic recommendations by tuning search and relevance algorithms. Worked with product and QA to ensure testable, reliable deployments using Jenkins and GitLab CI/CD.

Supervised implementation of customer-facing banking features built with React, Node.js, and AWS. Implemented RESTful APIs for mobile money management with an emphasis on data privacy. Led PostgreSQL database schema migrations and performed code reviews to encourage maintainable architecture. Served as the main contact for vendor integrations and third-party fintech data sources. Led cross-functional sprints in a remote delivery model, translating product requirements into actionable tickets and milestones. Instrumented error monitoring and automated incident escalation with PagerDuty and custom dashboards. Evaluated and recommended new cloud tooling to support CI/CD initiatives and authored backend onboarding/documentation.