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Senior Backend Engineer building scalable payment infrastructure for a global fintech company, using C#/.NET, AWS, and event-driven architectures while leading modernization and mentoring teams.
Build and scale cloud-native backend services for a next-gen conversational search and content intelligence platform using Node.js, TypeScript, and AWS, while integrating generative AI workflows.
Build and scale AI-powered web apps (React + TypeScript frontend, Python FastAPI backend) that let users take compliant ID photos at home, plus kiosk and printing interfaces; deploy on AWS and drive multi-tenant architecture.
Lead the architecture and scaling of a healthcare-focused enterprise data platform using Databricks, AWS, Terraform, and Python, ensuring governance, security, and high-quality data products.
Senior QA Engineer designs and executes testing strategies for Amazon Connect and AI-powered contact center systems, including automated tests for UI, APIs, and serverless AWS architectures.
Own PostgreSQL on AWS Aurora in a cloud-native, event-driven data stack, tuning performance, automating ops, and ensuring high availability and disaster recovery across distributed systems.
Build and scale cloud platforms on AWS and Kubernetes, implementing GitOps, SRE, and DevSecOps to improve reliability and developer productivity for a fintech company.
Build and maintain secure, scalable cloud infrastructure for Data and AI workloads using AWS, Terraform, and CI/CD pipelines, enabling reliable LLM-based applications and AI agents.
Build and maintain Lepaya’s cloud platform using AWS, Terraform, and CI/CD to ensure secure, scalable learning infrastructure while enabling rapid feature delivery for global teams.
Build and evolve a scalable SaaS platform using Node.js, AngularJS, Docker, Kubernetes, and AWS services while driving architecture decisions and reliability practices.
Build and maintain scalable data pipelines in AWS using PySpark, Apache Airflow, and modern cloud services to modernize legacy processes and deliver high-quality data products.
Build and maintain scalable .NET backend services and RESTful APIs using C#, SQL, and AWS, integrating cloud-native and AI components for enterprise applications.
Builds AWS-based cloud-native backend services and data pipelines using TypeScript, Lambda, and Terraform to ingest and process automotive production alarm data for a global manufacturer.
Build and deploy serverless Python services on AWS (Lambda, DynamoDB) using TDD and DDD to automate working-capital lending for UK SMEs, leveraging open banking and AI coding tools.
Build and extend Zilch’s payment platform using Java, Spring Boot, and AWS; design microservices, APIs, and cloud infrastructure while ensuring security and performance.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.
Build and maintain secure, scalable backend integrations for digital asset services using Java/SpringBoot, Kafka, and AWS, while ensuring compliance with financial regulations.
Designs and optimizes AWS-based data pipelines and models for large-scale cloud platforms, bridging data engineering and science using services like Redshift, DynamoDB, and Lambda.
Principal Software Engineer at PayPay designing and scaling high-performance distributed systems for a 75M+ user fintech platform using Java/Kotlin/Scala, Kubernetes, and AWS/GCP.
Design, operate, and optimize large-scale database systems for PayPay’s financial services, using MySQL, PostgreSQL, Aurora, and AWS while automating workflows with Terraform and Python.
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