Arthur Wilk
@arthurwilk
Senior software engineer who builds secure, scalable full-stack and cloud systems that improve performance and reliability.
What I'm looking for
I’m a Senior Full-Stack Software Engineer with 10+ years of experience designing and building scalable web and cloud-based applications. I specialize in modern frontend and backend frameworks and focus on delivering efficient, maintainable solutions.
In my current role at BNY Mellon, I developed a SaaS application using Next.js, Java, PostgreSQL, Tailwind CSS, and Stripe—integrating AI via Anthropic Claude and hardening security across the stack. I optimized backend services for stateless AWS Lambda deployment, reducing cold start times by ~40% while keeping operational performance strong.
I also lead architecture and implementation work that improves safety and usability: context management so the AI can remember prior conversations without polluted context, secure storage using RDS and KMS for sensitive keys/passwords, and messaging storage designed to prevent leaks even if the database is compromised. I’ve built secure authentication (JWT with AWS KMS signing), advanced infrastructure using Terraform, and monitoring-ready deployments with CI/CD.
Previously at Verizon Wireless, I delivered serverless data processing pipelines (SQS, Lambda, S3) and cross-cloud replication, built a Stripe metered billing integration, and created analytics APIs for researchers using Node.js, AWS Lambda, API Gateway, and PostgreSQL. I bring a practical, systems-focused approach—modernizing legacy systems, writing tests with strong quality practices, and collaborating closely with clients to solve complex technical challenges.
Experience
Work history, roles, and key accomplishments
Developed a SaaS application using Next.js, Spring Boot, PostgreSQL, Tailwind CSS, with Anthropic Claude for AI and Stripe for payments; optimized stateless AWS Lambda deployment to reduce cold start times by ~40%. Built secure AI context and messaging storage using RDS and KMS, and implemented a double-sided contacts system that increased operational efficiency by 50%.
Implemented serverless data processing pipelines on AWS using SQS, Node.js Lambda, S3, and Redis/Valkey cache, including cross-cloud replication. Built Stripe metered billing sync, designed JSON data extraction for millions of documents into queryable PostgreSQL, and developed analytics selection APIs and internal dashboards for operational reporting.
Education
Degrees, certifications, and relevant coursework
Cornell University College of Engineering
Bachelor's degree in Computer Science, Computer Science
2011 - 2015
Completed a Bachelor's degree in Computer Science at Cornell University (2011–2015).
Tech stack
Software and tools used professionally
BrowserStack
Amazon EC2
Amazon S3
GitHub
Kubernetes
Spring Cloud
Fastly
Jenkins
Travis CI
GitHub Actions
Jupyter
MySQL
PostgreSQL
MongoDB
Honeybadger
Node.js
Django
Spring Boot
Next.js
NestJS
Tailwind CSS
Redis
Terraform
Quarkus
Vue.js
AngularJS
JavaScript
Java
JSON
FastAPI
Cloud Foundry
Firebase
Solr
AWS Lambda
Serverless
Vercel
pytest
JUnit
Amazon Web Services (AWS)
SQL
AWS KMS
Playwright
Foundry
Valkey
Dynamic
Remote
Availability
Location
Authorized to work in
Salary expectations
Skills
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