Open to opportunities

Scott Roberts

@scottroberts1

Senior software engineer specializing in scalable Python/Django APIs and cloud-native backend systems for real-world products.

United States

Message

What I'm looking for

I’m looking for a senior backend role where I can design scalable API platforms, build event-driven and serverless services on AWS/GCP, and partner on product features with performance and observability at the core.

I’m a Senior Software Engineer with 10+ years building scalable backend systems and API-driven platforms using Python and modern web technologies. I design and implement cloud-hosted applications that integrate external data sources, turning complex business requirements into maintainable system designs through strong data modeling, domain-driven design, and business logic architecture.

Across my roles, I’ve developed REST APIs, backend services, and serverless cloud functions, including event-driven processing pipelines, centralized audit/observability services, and performance improvements like caching and async optimization. I’m also full-stack capable—building React components and data visualizations—while maintaining a primary focus on backend infrastructure, API integration, and reliable production delivery.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

U.S. News & World Report

Feb 2024 - Present (2 years 3 months)

Integrated physician specialty and condition datasets to power enhanced doctor search and profiles, including real-time map-driven geospatial search and location filtering. Built Django/React REST features, normalized ~120K real estate agent records with AWS Lambda, and improved performance with Memcached caching to reduce backend load.

Python Django Django REST Framework React AWS Lambda MySQL Geospatial MemCached API Integration Data Modeling

Senior Software Engineer

OptiFunder

Jan 2021 - Feb 2024 (3 years 1 month)

Architected and developed the core OptiFunder API platform with FastAPI/Pydantic, enabling secure integrations between clients and warehouse banks. Built event-driven loan ingestion and audit/observability services, implemented serverless webhook/document processing, and optimized the loan transfer pipeline runtime from 30 minutes to under 30 seconds.

fastAPI Pydantic Event Driven Architecture REST APIs Webhooks SQL BigQuery Observability Data Modeling

Full Stack Developer

Markel Insurance Company

Oct 2019 - Apr 2020 (6 months)

Supported API developers on Google Cloud Apigee Edge by aligning proxy code and Swagger documentation with the platform. Built OAuth 2.0 token/POC proxy services with Okta IAM, created a Java/Groovy CLI for Apigee Edge management, and implemented a Python tool to audit developer apps against LDAP records to mitigate security risk.

Apigee API Management OAuth 2.0 Okta Groovy Python

Python Developer

Capital One

Jul 2018 - Oct 2019 (1 year 3 months)

Designed and implemented web applications with Vue.js/Vuetify, Python Flask, and PostgreSQL to improve user experience and operational workflows. Automated intake request prioritization by creating JIRA issues via API calls, provisioned AWS EC2/RDS/S3 infrastructure, and configured Apache Airflow to orchestrate and automate over 100 critical processes feeding fraud defense tools.

Python Flask Vue.Js Vuetify PostgreSQL AWS RDS REST APIs Apache Airflow Data Pipelines

Application Developer

Capital One

May 2017 - Jul 2018 (1 year 2 months)

Developed dynamic web tools using HTML/CSS/JavaScript, Vue.js, and Python, including the Risk Learning Engine to integrate disparate data sources for a unified risk-event view. Built custom Python applications for data collection and automated monthly report generation, partnering with clients on requirements to deliver tailored solutions.

Vue.Js JavaScript HTML CSS Python Flask Data Integration Web Application Development

Education

Degrees, certifications, and relevant coursework

Johns Hopkins University

Agentic AI Certificate, Agentic AI

In progress: Agentic AI Certificate coursework includes agent architectures, LLM integration, retrieval-augmented generation (RAG), and AI-powered automation workflows.