GO107 – Senior Software Engineer (Ex Big Tech)

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

🐙 Anonymous Talent Profile: Senior Software Engineer (Distributed Systems & AI)

🎯 Key Search Criteria

  • 💰 Salary Expectation:  $180,000

  • 📍 Location Preference: Based in California, US

  • 🌍 Relocation Preference: Open to global opportunities in major tech hubs

  • 🤝 Engagement Preference: Open to Permanent and Fractional/Advisory roles

  • 💻 Primary Industry Expertise: Big Tech, FinTech, Automated Logistics, Computer Vision

  • 🧭 Core Value/Leadership Style: Technical Excellence, Scalability, Cross-functional Collaboration

🚀 Motivation for New Role

  • Seeking a high-impact engineering challenge where expertise in distributed systems and NLP-driven AI can be leveraged at scale.

  • Desire to apply “Big Tech” engineering rigour—honed at world-leading organisations—to emerging platforms or complex system overhauls.

  • Interested in roles that bridge the gap between research-level AI/ML and production-ready, scalable software solutions.

Professional Summary A self-motivated and innovative Senior Software Engineer with a decade of experience building and scaling some of the world’s most robust digital infrastructures. This technical leader has spent over half a decade within “Big Tech” environments, designing distributed systems that handle hundreds of thousands of queries per second and process vast amounts of structured and unstructured data.

With a background rooted in Electrical and Computer Engineering from an Ivy League institution, they bring deep expertise in Computer Vision and Machine Learning to real-world product challenges. This professional is known for upholding engineering excellence through rigorous code standards and has a proven track record of collaborating with research scientists to align cutting-edge ML models with global product policies.

Career History Overview (Anonymised)

  • Senior Software Engineer | Global Search & AI Leader | 4 years to date

  • Software Engineer III | International Payments Platform | 3 years

  • Software Engineer II | Global Ride-Sharing & Data Firm | 1 year

  • Software Engineer | Global Ride-Sharing & Data Firm | 1 year

  • Software Engineer Intern | Growth & Logistics Tech | 1 year

Core Competencies

  • Distributed Systems Architecture

  • Machine Learning & NLP

  • Computer Vision

  • Backend Development (C++, Java, Go, Python)

  • Cloud Infrastructure (Spanner, Bigtable, Colossus)

  • High-Throughput APIs (gRPC, Protocol Buffers)

  • Frontend Frameworks (TypeScript, Angular, React)

  • Data Engineering (MapReduce, Dataflow, Beam)

  • CI/CD & DevOps (Bazel, Borg)

  • Database Design (NoSQL, Cassandra, MySQL)

  • System Profiling & Latency Optimisation

  • Cross-functional Team Leadership

Key Achievements

💼 Business & Transformation

  • AI Integration: Collaborated with elite research labs to integrate large-scale NLP-based description generation into global search products.

  • Platform Design: Designed and built a core “Targeting” platform for a global logistics leader, now used in over 500 successful internal experiments.

  • Engagement Growth: Led a driver motivation project that achieved a 36.2% increase in participation across 500 million trips.

📈 Financial & Operational Efficiency

  • System Latency: Reduced query response times by 30% for a core service handling over 600,000 QPS.

  • Resource Optimisation: Improved end-user latency and reduced backend resource consumption through rigorous profiling and query optimisation.

  • Storage Migration: Re-designed experimentation databases and migrated attribute data to a distributed NoSQL system, successfully eliminating cross-datacenter latency issues.

🛡️ Quality & Compliance

  • Financial Integrity: Architected high-throughput backend services for a global payments ecosystem, ensuring strict compliance with international financial regulations.

  • System Reliability: Implemented multi-layer caching schemas and robust monitoring systems, increasing monitoring efficiency by 25%.

  • Security & Identity: Designed and enforced complex authentication and authorisation flows using SAML, OAuth2, and internal RBAC mechanisms.

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