Senior Full Stack Engineer - Python/Next.js/AWS

Sarah Atlas

Senior Full Stack Software Engineer Python • Node.js • React • Next.js • TypeScript • AWS • AI Integrations New York, NY (Open to Remote) *****.*******.****@*****.*** 929-***-**** linkedin.com/in/sarah-atlas SUMMARY

Senior Full Stack Software Engineer with 8+ years of experience building scalable web applications, backend services, APIs, and cloud platforms using Python, Node.js, TypeScript, React, Next.js, Django, FastAPI, PostgreSQL, and AWS. Experienced in developing AI-powered applications, LLM integrations, and workflow automation using GPT-4, Claude, OpenAI APIs, LangChain, Cursor, GitHub Copilot, ChatGPT, and AI-assisted development workflows. Skilled in designing reliable production systems, improving performance, building data-driven solutions, and delivering end-to-end software across healthcare, SaaS, and enterprise platforms. CORE SKILLS

Languages: Python, JavaScript, TypeScript, Node.js, SQL, C Backend: Django, Flask, FastAPI, Node.js, Express.js, NestJS, REST APIs, GraphQL, Celery, SQLAlchemy, Django ORM Frontend: React, Next.js, Vue.js, TypeScript, TanStack Query, HTML5, CSS3, Tailwind CSS Databases: PostgreSQL, MySQL, MongoDB, Redis, Neo4j Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, Terraform, GitHub Actions, CI/CD Data & Automation: Pandas, ETL Pipelines, Data Modeling, Workflow Automation AI Integration: OpenAI APIs, GPT-4, Claude, LangChain, Prompt Engineering, AI Workflow Automation Monitoring & Security: OpenTelemetry, Prometheus, Grafana, Authentication, Authorization, RBAC, SOC2 PROFESSIONAL EXPERIENCE

INTEGRA SCRIPTS Senior Full Stack Software Engineer Remote (Apr 2023 – Present Lakewood, NJ)

• Built healthcare applications using Python, FastAPI, Django, React, Next.js, PostgreSQL, AWS, Kubernetes, and Terraform, helping improve platform scalability by 42%.

• Built and maintained backend services using Node.js and TypeScript for API-driven applications and internal platform workflows.

• Developed full stack features using Node.js, TypeScript, React, and Next.js, owning implementation from backend services through user-facing interfaces.

• Designed scalable API integrations, authentication flows, background processing, and data workflows using modern backend architecture patterns.

• Developed React/Next.js and TypeScript dashboards, workflow screens, and reusable UI components, using TanStack Query for efficient server-state management and API data synchronization.

• Built REST and GraphQL APIs that supported scheduling, intake, reporting, and workflow automation services across multiple products.

• Improved API performance by redesigning database queries, optimizing PostgreSQL indexes, and refactoring backend services, reducing endpoint latency by 35%.

• Built and deployed containerized services on AWS and Kubernetes, supporting highly available production workloads.

• Built Python data-processing pipelines that transformed operational data for reporting, analytics, and workflow automation.

• Developed Celery and Redis-based background processing services that improved throughput and reliability for high-volume business workflows.

• Designed database schemas and data access patterns for transactional systems handling large datasets and complex workflows.

• Integrated GPT-4 and Claude into internal tools used for document review, workflow assistance, and operational support, reducing manual effort for support teams.

• Used Cursor, Claude, and GitHub Copilot to accelerate prototyping, testing, and code reviews across frontend and backend projects.

• Implemented monitoring and observability with OpenTelemetry, Prometheus, Grafana, and centralized logging, improving visibility into production systems.

• Built role-based access controls, authentication workflows, and audit-friendly application features to support healthcare compliance requirements.

• Refactored legacy Flask and Django applications into modular services that were easier to maintain, test, and extend. DocProbe Full Stack Software Engineer Hybrid (Sep 2018 - Mar 2023 New York, NY)

• Built document management and workflow applications using Django, Flask, React, Next.js, PostgreSQL, AWS, Docker, and Kubernetes.

• Developed customer-facing interfaces, admin portals, search experiences, and reusable frontend components used across multiple products.

• Developed Node.js and TypeScript services supporting frontend applications, third-party integrations, and backend workflow automation.

• Built and maintained REST and GraphQL APIs using Node.js-based services, improving communication between frontend applications and backend systems.

• Designed and maintained REST and GraphQL APIs that connected frontend applications with backend services and third-party systems.

• Built Python services for document ingestion, classification, metadata extraction, and workflow automation.

• Developed Python data-processing pipelines that transformed OCR output, CSV exports, and API data into formats used for reporting, search, and workflow automation.

• Improved PostgreSQL query performance through schema design, indexing strategies, and query optimization, reducing reporting delays by 38%.

• Built performance-sensitive utilities in C that supported document processing and large-scale data workflows.

• Integrated OpenAI and Claude APIs into document processing workflows for classification, summarization, information extraction, and search.

• Implemented authentication, authorization, audit logging, rate limiting, and SOC2-aligned security controls.

• Developed upload, annotation, review, and search workflows using React, Next.js, Vue.js, and API-driven architectures.

• Built Celery and Redis-based background processing services that handled large-scale document ingestion and workflow automation.

• Improved frontend performance by simplifying component structures, reducing unnecessary API requests, and standardizing reusable UI patterns.

EDUCATION

• Master of Science in Computer Software Engineering Lakewood Institute of Technology (Sep 2017 – Aug 2018)

• Bachelor of Science in Computer Science

Dartmouth College (Sep 2013 – Aug 2017)

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