GO103 – Senior Full Stack Software Engineer

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Senior Full Stack Software Engineer
Silicon Valley, California, United States
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About Candidate

🎯 Key Search Criteria

  • 💰 Salary Expectation: $175k+
  • 📍 Location Preference: Based in the San Francisco Bay Area or happy to relocate nationally
  • 🤝 Engagement Preference: Open to Permanent roles
  • 🏭 Primary Industry Expertise: Fintech, Healthcare, E-commerce, Logistics, AI/ML
  • 🧭 Core Value/Leadership Style: Cloud-Native Architecture, Scalability, AI/ML Integration, Mentorship
  • 🚀 Motivation for New Role: Seeking a Principal/Staff Engineer role focused on architecting next-generation, cloud-native platforms, leading infrastructure-as-code initiatives, and mentoring high-calibre engineering teams.

Professional Summary

A highly experienced Full Stack Engineer with over 10 years of proven success building scalable web applications across critical fintech, healthcare, and high-traffic e-commerce/logistics domains. This engineer specialises in modern JavaScript ecosystems, cloud-native architectures (including Kubernetes/EKS), and the integration of AI/ML models to deliver enhanced user experiences and business intelligence. A specialist in developing robust, high-availability microservices (Node.js/Python) and building responsive, optimised frontends (React/TypeScript) while driving infrastructure automation, CI/CD excellence, and substantial operational efficiencies.

Career History Overview (Anonymised)

  • Software Engineer | Major Global Logistics/E-commerce Platform | 7 years to date
  • Software Engineer | Global E-commerce Technology Company | 3 years
  • Software Engineer | Global IT Consulting Firm (Healthcare/Fintech Projects) | 1 year

Core Competencies

  • Frontend: React, TypeScript, Angular, Next.js
  • Backend: Node.js, Python, Java Spring, DB Design, Caching
  • Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD, Infrastructure as Code
  • AI/ML & Data: Maching Learning, Data Pipelines, AI Integration, Analytics
  • Integration & APIs: Payment Processing, CRM Integration, Real-time Communication
  • Database: PostgreSQL, MongoDB, Oracle, SQL Server, Redis
  • Testing & Quality: Jest, React Testing Library, Cypress, API Testing, ESLint, Prettier

Key Achievements

💼 Business Impact & AI Integration

  • Integrated AI-powered recommendation engines and dynamic pricing models into a global logistics platform, which improved customer engagement by 25% and optimised delivery routes for increased efficiency.
  • Collaborated with product and design teams to deliver features that increased customer satisfaction scores by 25% and reduced support tickets through improved UX/UI design.
  • Integrated external CRM systems and healthcare/biotech partner APIs for specialised delivery services, ensuring HIPAA-compliant data handling and secure API integrations.
  • Developed full-stack automation tools for a global e-commerce technology company’s data centre infrastructure, creating self-service interfaces that reduced manual provisioning time by 60% across multiple data centres.

⚙️ Technical Architecture & Scalability

  • Architected and developed high-traffic microservices using Node.js, Express, and Python (FastAPI/Django), successfully handling millions of daily food delivery requests with sub-100ms response times and 99.9% uptime SLA.
  • Built responsive React applications, optimising for mobile-first experiences and achieving 90+ Lighthouse scores across Core Web Vitals.
  • Implemented real-time order tracking and driver location updates using WebSocket connections, Redis pub/sub, and Socket.io for seamless customer communication.
  • Implemented comprehensive authentication and authorisation systems using OAuth 2.0, JWT tokens, and Role-Based Access Control (RBAC).
  • Implemented comprehensive database solutions using PostgreSQL and MongoDB with Redis caching, optimising query performance and reducing database load by 35%.

☁️ Cloud, DevOps, and Operational Excellence

  • Designed and maintained CI/CD pipelines with Docker, Kubernetes (EKS), and GitHub Actions, enabling zero-downtime deployments across multiple AWS regions.
  • Led infrastructure automation initiatives using Terraform, AWS CDK, and CloudFormation, improving system reliability through infrastructure-as-code practices.
  • Implemented comprehensive monitoring and observability using Prometheus, Grafana, and DataDog, reducing Mean Time to Resolution (MTTR) by 50% through proactive alerting.
  • Mentored junior engineers and established coding standards, improving code quality and reducing production bugs by 30%.
  • Integrated payment processing with third-party APIs (like Stripe and PayPal), implementing secure tokenisation and PCI DSS compliance.
  • Built data pipelines using Apache Kafka and AWS Kinesis for real-time analytics.

🚀 Motivation for New Role

  • Seeking a new scaling challenge focused on applying deep expertise in cloud-native architecture (Kubernetes, AWS) to build next-generation, resilient platforms.
  • Desiring a Principal/Staff-level role with significant technical ownership over the full stack architecture, from data pipelines and AI integration to front-end performance.
  • A commitment to driving engineering excellence through strong technical mentorship, improving code quality, and implementing state-of-the-art DevOps practices.

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