Stephen Casey
Software Engineer
About me
As a software engineer on Vertafore’s Shared Services team, I’ve spent the past three years overseeing the company's core next-gen microservices platform. My expertise spans a diverse technology stack, including Spring, Java, React, Typescript, Angular, Django REST framework, Python, Kafka, Redis, PostgreSQL, Ansible, Kubernetes, and AWS, allowing me to design and develop scalable, high-performance, flexible, and resilient solutions.
I have extensive experience in identity and access management, implementing authentication and integration solutions across both legacy and next-gen platforms as well as with external partners. My work includes OAuth2, token processing & exchange, IDP adapters, LDAP, certificate management, SAML, and OIDC, ensuring secure and seamless access for users across systems.
On the front-end, I have a strong passion for crafting engaging, user-friendly experiences. I’ve worked extensively with React, designing and developing multiple responsive, high-performance applications that prioritize usability and seamless interaction.
I'm passionate about learning and have gained expertise in Django REST framework, Angular, Okta, Flask, Terraform, and much more through personal projects. I thrive in challenging, fast-paced environments with the opportunity for discovery and innovation and I’m always looking for opportunities to expand my skills and expertise.
Work Experience
Software Engineer II - Shared Services | Vertafore, Inc.
Mar 2024 - Present
- Developed & maintained the core microservices platform, including authorization, licensing, eventing, configuration, and scheduling services, leveraging Spring, Java, React, Typescript, Python, .NET, Kafka, Redis, PostgreSQL, Kubernetes, K9s, and AWS.
- Designed & implemented identity management via infrastructure-as-code for next-gen products, legacy products, and external partners, including custom policies & adapters, token exchange, OAuth2, JWT, OIDC, MFA, SAML, and LDAP.
- Architected and developed multiple full-stack solutions, implementing responsive React-based front-end applications, Backend-for-Frontend (BFF) systems, and secure, scalable, and resilient RESTful APIs.
- Regularly facilitated cross-functional collaboration across UX, product management, front-end, and back-end teams to efficiently deliver seamless, scalable, and user-friendly enterprise solutions.
- Personally owned PingDirectory, the directory service containing all Oauth clients, infra users, and 1M+ end users.
- Developed Ansible scripts for automating cloud infrastructure build, deployment, and verification processes.
- Spearheaded CI/CD process changes, using GitLab CI, Docker, and Gradle to automate and streamline development, deployment, and verification workflows.
SDET I - Shared Services | Vertafore, Inc.
Feb 2022 - Mar 2024
- Served as the primary SDET & QA for core microservices, leading the development and execution of a comprehensive testing strategy of unit, service-level, integration, API, end-to-end (E2E), manual, and performance testing.
- Designed and implemented multiple greenfield automation test frameworks for API, E2E, load, and performance testing, leveraging Gitlab CI, Playwright, Junit, Spring test, React Testing Library, Locust, Cypress, REST-assured, & Selenium
- Led a department wide learning session on API testing and test code generators, empowering teams with best practices.
Rideshare Driver | Self Employed
May 2015 - Oct 2021
- Maintained high driver ratings (Uber: 4.94/5.00; Lyft: 5.0/5.0)
Emergency Department Technician | Valley View Hospital
Aug 2020 - Jun 2021
- Facilitated all aspects of patient care while working within a diverse team of hospital staff
- Oriented 6 existing employees to the Urgent Care and trained one new Emergency Department employee
Research Associate | University of Florida
Jun 2013 - Oct 2016
- Developed algorithms to extract statistical features from spatial & hydrologic data within MATLAB
- Normalized large unstructured data sets into cohesive analyses using MATLAB, ArcGIS, Python, and R
- Used stochastic modeling, multivariate analysis, image processing, and distribution testing in an exploratory analysis
- Compared a suite of features to 11 distributions using Monte-Carlo simulations, likelihood ratios, and AIC
- Communicated insights in two peer reviewed articles which together have been cited by over 40 others
Projects
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Patterned Landscape Synthesizer
An interactive app for dynamically creating patterned landscapes
Built with Python, Flask, Dash, Nginx and Docker.
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Periodic
An automated photo sharing app for sharing seasonal or yearly highlights
Built with Angular, Django REST Framework & PostgreSQL and secured with Okta.
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OpenAdvisor
Backend elements for a college degree planning used to automate the construction of a PostgreSQL database of 2500+ schools and 1,000,000+ courses.
Built with Java, PostgreSQL, Python, and Selenium
Education
Master of Engineering - Environmental Engineering Sciences
Dec 2012 - University of Florida
- Developed algorithms for automated statistical analyses of spatial data
B.S.M.E. - Mechanical Engineering
May 2010 - Florida Atlantic University
- Implemented computer interfaces for a hydraulic system and a wind turbine
Certifications
AWS Certified Cloud Practitioner
Dec 2021 - Amazon Web Services Training and Certification
Deep Learning Specialization
Oct 2021 - DeepLearning.ai via Coursera
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CNN's, RNN's, gradient descent, Adam, L2, dropout, batch norm., softmax, NLP, TensorFlow, Keras
Publications
- Casey, S. T., Cohen, M. J., Acharya, S., Kaplan, D. A., & Jawitz, J. W. (2016). Hydrologic controls on aperiodic spatial organization of the ridge–slough patterned landscape. Hydrology and Earth System Sciences, 20(11), 4457-4467.
- Acharya, S., Kaplan, D. A., Casey, S. T., Cohen, M. J., & Jawitz, J. W. (2015). Coupled local facilitation and global hydrologic inhibition drive landscape geometry in a patterned peatland. Hydrology and Earth System Sciences, 19(5), 2133.