M
U

MacAnderson Uche

`${Software Engineer}$`

CONTACT

PROFILE

UK Citizen with 6+ years of experience

Resident in London & Manchester UK

Time Zones: Coverage across PST/EST (Americas), GMT-8 to GMT+8, APAC and EMEA

Fully remote permanent or contract role on diverse, trusting, and async team.

INDUSTRY EXPERIENCE

Senior Full-Stack Engineer @ Traced Mobile Security

November 2023 – Present // Remote - UK

  • Developed scalable integration endpoints to grant external systems access to Traced's internal APIs, enabling threat detection 5K+ devices managed by external customers through Traced utilizing Node.js, TypeScript, and AWS services.
  • As a senior engineer, led a team of 4 to build a staging environment for Traced's infrastructure with AWS CloudFormation. Conducted integration and automated testing on resources and implemented a reliable CI/CD pipeline, cutting production bugs by 50% and improving customer satisfaction.
  • Implemented a Zero-Trust solution to block high-risk customer devices from Microsoft resources. Built with React and Zustand on the front end, and Node.js, TypeScript, AWS, and Microsoft Graph API on the backend.
  • Built and automated end-to-end testing with Playwright, TypeScript, and GitHub Actions, integrated into CI/CD for pre-deployment checks. Enhanced code reliability, reducing production issues by 30% and accelerating release cycles by 25%.

Software Engineer @ Finovance

October 2021 – November 2023 // Remote - London, UK

  • Led a team of 6 to develop a fault-tolerant & fast-loading transaction table for 50K+ monthly transactions. Built a React/TypeScript dashboard with AWS Lambda, DynamoDB, and Node.js, optimizing performance and ensuring atomic operations and data consistency
  • Architected and implemented a highly scalable payments backend system using Node.js, TypeScript, and AWS services including Lambda, API Gateway, and DynamoDB. By seamlessly integrating with Treasury Prime's payment APIs, I optimized ACH and wire transactions, enabling the processing of 30K+ payments monthly.

Software Engineer @ Product Care Group

January 2020 – October 2021 // Remote - Manchester, UK

  • Architected & implemented event driven Microservices processing over 2K+ daily orders for some customers like Bosch using AWS SQS, SNS, DynamoDB, Step functions, and Lambda.
  • Migrated customer wishlist backend from CloudFormation to AWS CDK to improve reusability

Software Engineer - Contractor @ Knotel

August 2018 – December 2019 // Birmingham, UK (Remote)

  • Built full-stack applications using NextJS and GraphQL APIs with Node.js/Express backend

VOLUNTEER

Volunteer @ Shrewsbury Street Pastors

April 2024 – Present //United Kingdom

Chapter Co-Lead @ Codecademy

January 2021 – Present //United States (Remote)

ACHIEVEMENTS

SKILLS

Cloud Native Skills

  • AWS CDK /AWS SAM/ AWS CloudFormation
  • Terraform/Pulumi
  • AWS Lambda, SQS, SNS, DynamoDB, API Gateway, Step Functions, WAF, Cognito, Opensearch, EC2

Programming & Languages

  • JavaScript (ES6+) / TypeScript
  • NodeJS
  • Java / GoLang
  • SQL
  • HTML & CSS / Tailwind

Libraries & Frameworks

  • React / NextJS
  • Angular
  • Redux / Zustand
  • Express / NestJS

Test Runners & Libraries

  • Jest / Vitest
  • React Testing Library
  • Mocha & Chai / Playwright

Tools | Services | Database

  • GitHub / GitLab
  • CI / CD
  • Google Tag Manager
  • Salesforce
  • Datadog / Backstage / Renovate
  • Cursor / Claude / Copilot

EDUCATION

Imperial College London

MEng. Computing | 1st Class Hons

TECHNICAL PROJECTS

AI-Powered Order Management System (O.M.S)

Internal Application | TypeScript · React · Node.js · AWS LLM Models | 2024

Completed

  • Authentication via AWS Cognito triggers API Gateway and Lambda to fetch real-time order data from DynamoDB.
  • React/TypeScript front-end displays and updates order details (SKU, order number, quantities, status).
  • Node.js backend with Step Functions orchestrates ERP syncs and DynamoDB updates.
  • Quantitative forecasting model (AWS SageMaker) predicts demand and stock levels, shown in the dashboard.
  • AI anomaly detector flags unusual order behavior, sending alerts via SNS and updating dashboards.