Vetted Microservices Architecture Professionals

“Engineer with both startup co-founder experience at Airship and production-scale product experience at Airbnb. They’ve built and scaled high-volume messaging and scheduling systems across frontend, backend, infrastructure, and databases, with particular strength in event-driven architecture, reliability, and real-time user workflows.”

“Candidate brings experience across both startups and big tech, along with direct exposure to pitching ideas to several VCs. They show a practical founder mindset centered on rapid prototyping, customer feedback, retention, and building AI/agent-driven products with strong product-market fit potential.”

“Engineering leader with deep distributed-systems expertise who led Oracle's replacement of a legacy Fusion Applications authorization service with a cloud-native Go/Kubernetes RBAC platform delivering sub-10ms latency. Combines hands-on architecture depth with org-building experience, having grown a geo-distributed team from 4 to 26 and led managers, architects, and cross-functional delivery across Oracle and Microsoft environments.”

“Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.”

“Technology leader from Franklin Templeton who modernized wealth management tech by launching client-facing digital web/mobile experiences via a phased data-warehouse-to-real-time strategy, while aligning internal CRM visibility for front office teams. Scaled an engineering org from 15 to ~250 (15 teams) and drove a shift from waterfall to Agile with microservices/micro-frontends and Jira-based transparency to improve delivery velocity.”

“Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.”

“Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.”

Denis Siminiuc

Screened

Junior Research Assistant specializing in LLMs, NLP, and data systems

Cambridge, MA3y exp

“Software-focused candidate who built a data monitoring pipeline during a hedge fund internship, integrating real databases and an email API to notify teams when data was ready. Comfortable working through legacy/scrappy code and uses LLMs to accelerate comprehension and delivery, with an emphasis on thorough testing and clear communication with stakeholders/customers.”