Guseyn Ismayylov
Senior Full-Stack Software Engineer · Technical Leader Legal name: Gusein Ismaiylov · Remote · Georgia 🇬🇪Senior Fullstack Software Engineer and Technical Leader with 10 years of experience building low-latency, scalable platforms from the ground up. Specialized in custom framework development, performance optimization, and mission-critical payment infrastructure, with a proven track record of rapidly launching high-performance MVPs. Domain Expertise: Fintech (banking, payments, trading), Developer Tools, Edtech, and Automotive Diagnostics. Author of Unison, nodes.js (High-performance Backend Framework), and EHTML (Declarative Frontend Framework).
Skills
- System Architecture — Distributed Systems, Microservices, Event-Driven Architecture (EDA), Multi-tenant SaaS, High-Load MVPs, System Design, Scalability, High Availability & Reliability Engineering.
- Backend Ecosystem — Node.js (Express, Fastify, NestJS), JavaScript/TypeScript, Java (Spring Boot), PHP, Python (FastAPI), NX Monorepos, RESTful APIs, GraphQL, Serverless Architecture.
- High-Performance UI/UX — Web Components, EHTML (Creator), React, Next.js, React Server Components (RSC), React Context, React Query, Tailwind CSS, Material UI, Zustand, Angular, Real-time SVG/Canvas Rendering, Shadow DOM, Micro-frontends, HTML5/CSS3, Vite, Esbuild.
- Databases & Storage — PostgreSQL, MySQL, MariaDB, MongoDB, Redis (caching), DynamoDB, ClickHouse (OLAP), Snowflake, Supabase; object & analytics storage: AWS S3, GCP BigQuery, GCS.
- Message Brokers & Event Streaming — Apache Kafka, RabbitMQ, AWS SQS/SNS, Google Cloud Pub/Sub, event-driven pipelines, async ingestion & pub/sub architectures.
- Cloud Platforms & DevOps (IaC) — AWS (EC2, ECS, S3, RDS, Lambda, DynamoDB, CloudWatch), GCP (Cloud Run, App Engine, BigQuery, VPC), Azure, DigitalOcean, Docker, Kubernetes (K8s), Terraform, GitHub Actions, GitLab CI/CD, Infrastructure as Code (IaC).
- Observability & Telemetry — OpenTelemetry, Prometheus, Grafana, New Relic, Graylog, Datadog, AWS CloudWatch.
- Protocols & Integrations — WebRTC (Xirsys), WebSockets, Stripe API (Payment Infrastructure), Postmark (Email Delivery), Azure AD (OAuth2/OIDC), Secure Identity Management.
- Testing & Quality Assurance — Unit testing (JUnit 5, Jest, Vitest, pytest, PHPUnit), integration & API testing (Postman, Newman, Supertest, REST Assured), E2E testing (Playwright, Cypress), mocking (Mockito, Sinon, Jest mocks), TDD/BDD, contract testing, Testcontainers, coverage & reporting (Allure, Istanbul), CI test gates, load/performance testing.
- AI Integration & Tools — LLM Middleware, AI Developer Tools (Claude Code, Codex, Cursor IDE, GitHub Copilot, Gemini), n8n.
Work Experience
- • Architected and accelerated the launch of a high-load ed-tech ecosystem, delivering a production-ready MVP in under 3 months using a streamlined stack of PostgreSQL, Docker, and DigitalOcean.
- • Engineered a scalable multi-tenant scheduling engine and automated invoicing system, integrating Stripe Payments to establish seamless transactional workflows and eliminate manual billing overhead.
- • Developed a proprietary, low-latency video conferencing solution from scratch using vanilla Web Components and Xirsys (STUN/TURN), bypassing heavy third-party framework dependencies to achieve highly efficient real-time streaming, chat, and data channel communication.
- • Designed high-deliverability notification pipelines by implementing Postmark, significantly cutting down user communication friction through automated transactional workflows.
- • Drive technical strategy and product vision in alignment with business scaling and pricing frameworks, managing execution speed while maintaining a high-performance, low-bloat architecture.
- • Directed technical strategy and system observability by architecting a specialized monitoring system using Grafana and AWS CloudWatch, enabling real-time detection of payment transaction anomalies and resolving critical infrastructure bottlenecks.
- • Reduced AWS Lambda operational costs by 20% through targeted workflow optimizations, memory tuning, and improved data-processing logic across serverless environments.
- • Spearheaded the modernization of legacy microservices, dramatically improving concurrency patterns, query execution, and high-load stability by migrating complex datasets to ClickHouse (OLAP) and Snowflake.
- • Enhanced large-scale data ingestion and asynchronous messaging pipelines by leveraging AWS SQS and robust Pub/Sub architectures, ensuring zero-loss system reliability and high availability under heavy transactional surges.
- • Engineered a robust AI middleware layer alongside low-latency data tiers utilizing DynamoDB and S3 to facilitate real-time streaming data processing and intelligent user analytical insights.
- • Led an end-to-end frontend redesign and streamlined communication systems by integrating AWS SES for transactional mailings and optimizing the React ecosystem with advanced caching and sophisticated state management.
- • Orchestrated infrastructure for 60+ microservices, delivering a 20% improvement in system reliability and a 15% reduction in operational downtime.
- • Created a centralized Authentication Service with Azure Active Directory integration and successfully migrated payment configurations for 20+ global systems across 50+ countries.
- • Optimized data consistency and performance across distributed services by leveraging Redis for caching and PostgreSQL for mission-critical financial data.
- • Streamlined CI/CD pipelines using Artifactory in GitLab, reducing deployment cycles by 25% and ensuring high-availability across global environments.
- • Implemented full-stack observability across 25+ services using New Relic, Graylog, and Grafana, enabling real-time bottleneck identification and rapid incident response.
• Developed mission-critical, offline-first automotive diagnostic software and automated technical documentation pipelines for enterprise clients including Ford and Jaguar.
• Designed high-performance cloud infrastructure components, optimized internal developer tooling, and crafted high-throughput custom data parsers.
- • Helped design technical solutions and created a roadmap for migrating infrastructure to Google Cloud Platform (GCP).
- • Successfully oversaw the implementation of this replatforming, ensuring a smooth and efficient transition.
- • Spearheaded the full automation of report processing from third-party sources, utilizing GCP services to significantly improve data processing and operational efficiency.
• Progressed from Intern to Senior Engineer, delivering high-impact cloud-native R&D internal tooling for major enterprise clients including Google, Raymond James, and Home Depot.
Certifications
Open Source
Education
Applied Mathematics and Computer Science — Saratov State University, 2012 – 2016