Core Impact
- Delivered production tickets across frontend, backend, and AWS systems, working under SLA-driven deadlines for major UK banking clients
- Owned work end-to-end from investigation, through implementation, to production deployment
Performance & Efficiency
- Reduced processing backlog from 8 days to 2.5 days after global Amazon Web Services outage by redesigning AWS Lambda execution flow.
- Improved system efficiency by replacing API-based data access with direct database queries
- Prevented ~£3.5k/month losses by implementing Mutex logic to avoid concurrent finance process conflicts.
Engineering Work
- Built and maintained features using Angular (TypeScript) and Node.js
- Worked across multiple repositories, quickly understanding unfamiliar systems
- Refactored legacy code to improve maintainability and reduce future defects
Problem Solving / Production Work
- Investigated and resolved complex production issues independently across distributed systems
- Identified and fixed issues outside initial ticket scope, improving system stability
- Enhanced system observability by adding structured logging, removing sensitive logs, and improving Datadog monitoring
Cloud & Systems
- Developed and maintained AWS-based services including Lambda, Fargate, S3, DynamoDB and CloudWatch
- Worked with cloud-based architectures and deployment workflows in production environments
Collaboration
- Worked in an Agile environment with daily standups and dedicated QA team
- Created and reviewed pull requests, contributing to team-wide code quality
- Collaborated with senior engineers and architects for new projects