GO104 – Senior Full Stack Software Engineer

Senior Full Stack Engineer (AI & Web Scalability)
The San Francisco, California, United States
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About Candidate

🐙 Anonymous Talent Profile: Senior Full Stack Engineer (AI & Web Scalability)

🎯 Key Search Criteria

  • Salary Expectation: $125k+

  • Location Preference: Happy to relocate nationally / Open to remote working

  • Relocation Preference: Happy to relocate nationally

  • Engagement Preference: Open to Permanent roles

  • Primary Industry Expertise: Large-Scale Social Networking, E-commerce, Financial Services, Enterprise Software (SaaS)

  • Core Value/Leadership Style: Scalable Solution Design, AI/ML Integration, Cross-Functional Collaboration

  • Reference Quote (Fictional): “Exceptional capability in transforming business needs into highly scalable, robust technical architecture.”

🚀 Motivation for New Role

  • Seeking a highly technical leadership role focused on applying AI/LLM technology (RAG, AI Agents) to complex, high-traffic applications.

  • Desiring a challenge to architect and deliver next-generation scalable platforms in a fast-paced, global environment.

  • A commitment to driving data-driven decision-making and mentoring teams in best practices for full-stack, distributed system development.

Professional Summary

A versatile and impactful Senior Full Stack Engineer with nearly a decade of experience specialising in the development of highly scalable web applications. This professional is an expert in design patterns and life cycle methodologies (Agile-Scrum) which accelerate the development process. Possessing a deep technical stack spanning JavaScript, Java, and Python, the engineer excels in delivering robust, user-centric software solutions by effectively translating complex business needs. Recognised for strong adaptability, cross-functional collaboration, and recent hands-on experience integrating modern AI Technology including LLM, AI Agents, and RAG pipelines.

Career History Overview (Anonymised)

  • Senior Full Stack Engineer | Leading Social Networking Platform | 3 years (to date)

  • Full Stack Engineer | Global Financial Institution | 1.3 years

  • Software Engineer | Large E-commerce Corporation | 1 year

  • Engineer | Fintech Company | 2.5 years

Core Competencies

JavaScript, Java, Python, J2EE, Ruby, Go, REST, JSON, Microservices, GraphQL, LLM, AI Agent, RAG pipeline, LangChain, Vector Embedding, Pinecone, PostgreSQL, MySQL, Oracle, CosmosDB, CassandraDB, DynamoDB, MongoDB, Agile-Scrum, Waterfall, HTML5, CSS3, AJAX, jQuery, React, Nginx, Apache Tomcat, Next, Spring, Django, FastAPI, Hibernate, WordPress, AWS, Azure, GCP.

Key Achievements

🤖 AI-Powered Product Innovation

  • Built and deployed a customer-facing AI chatbot powered by LLM models and AI Agents at a large e-commerce corporation, delivering personalised, context-aware responses for improved customer support.

  • Developed generative job search functionality within a leading social networking platform, allowing users to discover relevant roles via natural language prompts.

  • Contributed to the Premium AI insights feature on a major platform, providing personalised content prioritisation and trending opportunity detection.

  • Implemented AI-powered writing suggestions to dynamically enhance user profile headlines and summaries on a major professional networking site.

🚀 System Architecture & Scalability

  • Designed a serverless microservice architecture with a major cloud provider’s Lambda service at a global financial institution, improving deployment speed and reducing infrastructure costs.

  • Led the successful migration of a legacy UI from an older framework to the modern Remix framework at a large professional networking firm, improving performance and maintainability.

  • Established Kafka-based event-driven communication across microservices at a fintech company, ensuring high throughput, fault tolerance, and real-time financial data processing.

  • Designed and implemented a robust ETL pipeline leveraging Kafka and Spring Batch for efficient data processing within a financial services platform.

💻 Development & Operational Efficiency

  • Achieved over 90% test coverage with JUnit while building and maintaining high-performance backend APIs using FastAPI at a financial services firm.

  • Developed and automated a CI/CD pipeline using GitLab, Docker, and a major cloud provider’s Container Registry, substantially improving deployment efficiency.

  • Optimised high-performance, reactive APIs built with Java and Spring Boot, enhancing system responsiveness by refining database queries and implementing efficient pagination strategies at an e-commerce corporation.

  • Strengthened application security by integrating Okta OAuth2 authentication, including user impersonation functionality, on a major banking SaaS platform.

“Exceptional capability in transforming business needs into highly scalable, robust technical architecture.”

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