Senior Software Engineer

Jason Ma

SENIOR SOFTWARE ENGINEER (AI / LLM)

Allen, TX LinkedIn: jason-ma-53855a36 *******.***@*****.*** Senior Software Engineer with 9+ years of hands-on experience building scalable full-stack applications, cloud-native systems, and event-driven data platforms. Recently focused on AI/LLM products, including production-grade LLM integrations, vector search, and Retrieval-Augmented Generation (RAG). Strong at owning features end-to-end, working across product and engineering teams, and turning complex technical problems into reliable production systems. CORE COMPETENCIES

• Full-Stack Engineering – Built scalable web applications across frontend, backend APIs, databases, and cloud services.

• AI & RAG Integration – Developed LLM-powered chatbot and search experiences using OpenAI, LangChain, vector databases, and prompt workflows.

• Cloud-Native Development – Built and operated AWS-native services using Lambda, ECS/EKS, SQS/SNS, DynamoDB, S3, API Gateway, CloudWatch, Docker, Helm, and Terraform.

• Event-Driven Architecture – Designed async, event-driven systems using Kafka, Kinesis, EventBridge, Redis Streams, and SQS to support high-volume workflows.

• System Observability – Improved production reliability with CloudWatch, X-Ray, structured logging, tracing, metrics, alarms, and operational dashboards.

• CI/CD & Infrastructure Automation – Automated build, test, and deployment pipelines using GitHub Actions, Docker, Helm, and Terraform.

• Cross-Functional Collaboration – Partnered with AI, product, design, and business teams to ship production features end-to- end.

• Operational Excellence – Owned production services, handled on-call support, improved runbooks, reduced incidents, and drove reliability improvements across distributed systems. TECHNICAL SKILLS

Languages: Python, TypeScript, JavaScript, Java, C#, SQL, Bash Frontend: React, Next.js, Redux, Zustand, Tailwind CSS, Material UI, Storybook, Cypress Python & Backend Frameworks: FastAPI, Flask, Django, Celery, SQLAlchemy, Pydantic Backend & APIs: Node.js, Express.js, Java, Spring Boot, REST, GraphQL, OpenAPI, gRPC, WebSocket, JWT, OAuth2 AI & LLM Systems: OpenAI, Claude, Cohere, LangChain, RAG, embeddings, vector search, prompt engineering, chunking strategies, Pinecone, OpenSearch

Data & Messaging: Kafka, Kinesis, SQS/SNS, Redis Streams, Spark, Airflow, Pandas, NumPy Databases: PostgreSQL, MySQL, DynamoDB, MongoDB, Redis, Elasticsearch, SQL Server Cloud & Infrastructure: AWS Lambda, API Gateway, S3, EC2, RDS, DynamoDB, EKS, CloudWatch, IAM, Secrets Manager, Docker, Kubernetes, Helm, Terraform, AWS CDK

Testing & Observability: Jest, Pytest, Cypress, React Testing Library, Postman, CloudWatch, X-Ray, Sentry, Datadog, Prometheus, Grafana

Tools: Git, GitHub, GitLab, Jira, Jenkins, GitHub Actions, IntelliJ, VS Code, Slack PROFESSIONAL EXPERIENCE

Senior Software Engineer (AI/LLM) Amazon Robotics June 2021 – Present Seattle, WA (Remote)

(Developed cloud-native and AI-powered software systems supporting robotics operations, intelligent workflows, and real-time data processing across large-scale fulfillment environments.)

• Led development of AI-assisted operational tools using OpenAI and Python to support robotics monitoring, issue triaging, and intelligent workflow automation.

• Established an AI-first engineering culture, integrating tools like Claude Code and Copilot, into daily workflows, increasing developer productivity by 50% across multiple teams.

• Designed and implemented Retrieval-Augmented Generation (RAG) pipelines using LangChain, OpenSearch, and vector search to improve knowledge retrieval for operational support systems.

• Built scalable backend services and APIs using Python (FastAPI) and AWS to process high-volume robotics and fulfillment event data in real time.

• Developed event-driven microservices using Kafka, SQS, and Redis Streams to support asynchronous processing and operational analytics workflows.

• Improved reliability and observability of distributed systems through centralized logging, CloudWatch dashboards, tracing, and automated alerting.

• Collaborated with robotics, platform, and operations teams to deliver software solutions that improved system visibility and reduced manual operational overhead.

• Optimized backend services and data workflows, improving response times and scalability for internal operational applications.

• Mentored engineers, contributed to architectural discussions, and participated in on-call rotations supporting production systems at scale.

Technologies: Python, FastAPI, OpenAI, LangChain, RAG, OpenSearch, Kafka, Redis Streams, AWS (Lambda, ECS/EKS, SQS, S3, DynamoDB, CloudWatch), PostgreSQL, Docker, Kubernetes, Terraform, GitHub Actions Senior Software Engineer Capital One

July 2018 - May 2021 Plano, TX

(Built scalable cloud-native services and event-driven platforms for high-volume financial systems, supporting real-time transaction processing, analytics, and operational automation.)

• Designed and developed cloud-native backend services supporting financial transaction processing and customer account workflows at scale.

• Built event-driven systems using Kafka and AWS messaging services (SQS/SNS) to process real-time financial and operational data streams.

• Led migration of legacy applications to AWS-based microservices architecture, improving scalability, deployment speed, and system reliability.

• Developed secure REST APIs and internal services for customer account management, reporting, and operational tooling.

• Improved platform performance and resiliency through caching, asynchronous processing, and database optimization strategies.

• Collaborated with security and compliance teams to implement secure engineering practices aligned with financial industry standards.

• Enhanced observability and production support processes using CloudWatch, centralized logging, monitoring dashboards, and automated alerts.

• Mentored junior engineers, participated in code reviews, and contributed to architectural discussions across multiple teams. Technologies: Java, Python, Spring Boot, Kafka, AWS (Lambda, SQS, SNS, EC2, RDS, DynamoDB, CloudWatch), PostgreSQL, Redis, Docker, Kubernetes, Terraform, REST APIs, Jenkins, Git Software Engineer Intuit

June 2016 - June 2018 Plano, TX

(Built backend services and APIs for customer-facing financial products, improving performance, scalability, and user experience in a high-traffic environment.)

• Built and maintained RESTful APIs using Node.js and Python to support core features in customer-facing financial applications.

• Designed and implemented backend services handling high-volume user traffic, improving system scalability and reliability.

• Integrated third-party services (payments, identity, financial data) to enhance product functionality and user experience.

• Optimized database queries and introduced caching (Redis), reducing API response times and improving performance.

• Developed data pipelines and background jobs to support analytics, reporting, and product insights.

• Collaborated closely with frontend, product, and design teams to deliver end-to-end features in an agile environment.

• Wrote unit and integration tests using Jest and maintained type safety with Flow.

• Participated in frontend performance improvements, accessibility audits, and design reviews.

• Supported engineering practices around regression testing, build automation, and internal tooling adoption. Technologies: Node.js, Express.js, Python, REST APIs, PostgreSQL, MySQL, Redis, AWS (EC2, S3, RDS), Docker, Git Software Engineer Slalom

June 2014 – May 2016 Dallas, TX

(Built data pipelines and backend services for client-facing analytics and internal tools in a consulting environment, supporting data-driven decision-making and early cloud adoption.)

• Built ETL pipelines with Python and SQL for client reporting and analytics.

• Designed and optimized SQL Server/PostgreSQL schemas to improve query performance.

• Built backend services and automation scripts for internal tools and client applications.

• Integrated data from multiple sources (APIs, databases, flat files) to create centralized data workflows for business reporting.

• Collaborated with cross-functional teams to deliver data dashboards and reporting solutions aligned with client business needs.

• Assisted in migrating legacy data workflows to more scalable architectures, introducing early cloud-based solutions (AWS).

• Expanded data processing into backend API development and system integrations. Technologies: Python, SQL, SQL Server, PostgreSQL, REST APIs, JSON, AWS (S3, EC2), Git, Pandas, Bash EDUCATIONAL EXPERIENCE

Bachelor’s Degree, Electrical and Computer Engineering Carnegie Mellon University, Pittsburgh, PA

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