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Senior Python Engineer Microservices, Cloud, ETL, Real-Time Systems

Location:
Brookeland, TX
Salary:
135000
Posted:
February 17, 2026

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Resume:

Matthew Cobb

Texas, United States

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************@*******.***

Senior Python Engineer Microservices, Django, FastAPI, AWS/Azure, Real-Time Systems, Data & ETL Expert SUMMARY

Strategic Senior Python Software Engineer with over 9 years of experience architecting scalable, high-concurrency systems and leading cross-functional teams. Proven track record in transitioning monolithic legacy systems into high-performance microservices using FastAPI, Django, and Python, supporting environments with 1M+ daily concurrent requests. Expert in Cloud Infrastructure

(AWS/Kubernetes), Distributed Systems (Celery/RabbitMQ), and Big Data ETL (PySpark/Pandas), with a deep commitment to SOLID principles and automated CI/CD excellence. Aversely skilled at bridging the gap between complex technical requirements and business objectives to drive a 2x acceleration in feature delivery and significant infrastructure cost reductions. SKILLS

Languages & Frameworks: Python, Django, Django REST Framework, Flask, FastAPI, JavaScript (ES6+), React, Redux, GraphQL, Socket.io, Celery, RabbitMQ, PySpark, Pandas, TensorFlow, scikit-learn, FHIR-based APIs, ETL pipelines Data Management: PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, Memcached, Alembic, SQLAlchemy DevOps & Infrastructure: AWS (EC2, S3, Lambda), Azure, Kubernetes, Docker, Terraform, GitHub Actions, Jenkins, CI/CD Performance & Optimization: Asyncio, Gevent, high-concurrency systems, event-driven architecture, background processing, WebSockets, caching strategies, SQL & NoSQL query optimization, multi-tier caching, high-performance microservices

Performance & Optimization: Asyncio, Gevent, high-concurrency systems, event-driven architecture, background processing, WebSockets, caching strategies, SQL & NoSQL query optimization, multi-tier caching, high-performance microservices

Testing & Security: PyTest, Factory Boy, Cypress, Behave (BDD), OAuth2, COPPA/FERPA/HIPAA compliance, SOLID EXPERIENCE

Senior Python Software Engineer March 2023 - December 2025 Hiya Inc. Seattle, WA

● Scalable Microservices Architecture: Engineered high-performance microservices using Python 3.12, Django, FastAPI with async processing; handled 1M+ daily concurrent requests at 99.99% availability.

● Database & Caching Optimization: Optimized PostgreSQL, MongoDB schemas via SQLAlchemy 2.0 and Redis caching; reduced query latency 40%, improving enterprise-scale responsiveness.

● Cloud & DevOps Modernization: Led zero-downtime AWS migration (EC2, S3, Lambda) using Terraform, Kubernetes, GitHub Actions CI/CD; cut infrastructure overhead 25%.

● Event-Driven Reliability System: Designed Celery, RabbitMQ-based background processing architecture for heavy workloads; ensured 99.9% mission-critical uptime.

● Data Engineering & BI Pipelines: Built end-to-end ETL workflows with PySpark, Pandas processing TB-scale datasets; improved data accuracy 25% for real-time executive analytics.

● Technical Leadership & Quality: Mentored 5+ engineers in SOLID architecture and PyTest-driven development; reduced production bugs 35% and doubled feature delivery speed. Python Backend Engineer May 2022 - February 2023

Homeowner.ai Austin, TX

● Distributed Platform Architecture: Re-architected core education modules into Django-based microservices using Django REST Framework; improved API modularity and reduced long-term technical debt across services.

● Concurrency Engineering: Leveraged Gevent and Asyncio to support 500K+ active users during peak traffic; integrated ML-driven recommendation models to personalize content sequencing and student progression.

● Applied AI & Learning Analytics: Designed and deployed supervised ML models using scikit-learn and TensorFlow to predict student performance and engagement trends; improved early-risk detection accuracy by 25%.

● Quality Engineering & CI/CD Automation: Implemented PyTest and Factory Boy testing frameworks within Jenkins and Azure DevOps pipelines; raised coverage to 90% and embedded validation layers for AI-enabled components.

● Performance Optimization & Real-Time Caching: Designed Redis and Memcached multi-layer caching architecture reducing load times by 50% and enabling near real-time adaptive learning insights.

● Security & Regulatory Compliance: Implemented OAuth2 authentication, encrypted storage, and secure API gateways to ensure COPPA and FERPA compliance for sensitive educational and AI-enhanced data workflows. Python Full Stack Engineer November 2018 - April 2022 Healthmine Dallas. TX

● Full-Stack Development: Built interactive modules using Python (Flask, Django) and React for caregiver profile management and real-time scheduling, delivering a seamless user experience.

● Modern API & Performance Optimization: Engineered a GraphQL layer over REST services, reducing mobile payloads by 35% and improving overall application performance.

● Real-Time Communication & Frontend: Integrated WebSockets (Socket.io) for instant messaging between families and caregivers, and leveraged Redux with Sass for consistent UI/UX, cutting frontend development time.

● Data Management & Automated Testing: Managed high-velocity activity logs and notifications using AWS DynamoDB for scalable, high-availability storage while implementing Cypress and Behave (BDD) tests to reduce regressions. Backend Developer July 2017 - October 2018

Prosphere Round Rock, TX

● API Performance Engineering: Developed and maintained high-traffic RESTful APIs using Python and Flask, implementing Redis-based caching to reduce response times by 30% for caregiver search results.

● Database Management: Optimized complex SQL queries and schema designs in MySQL, ensuring data consistency and high performance for a user base of several million active profiles.

● Asynchronous Processing: Integrated RabbitMQ for background task execution, offloading resource-intensive operations like automated background checks and email notifications to improve application concurrency.

● Legacy Code Refactoring: Successfully refactored critical legacy modules into modern, modular Python components, which decreased technical debt and reduced service-side error rates by 15%. EDUCATION

Master of Science, Computer Science August 2015 - May 2017 Texas A&M University College Station, Texas, United States Bachelor of Science, Computer Science August 2011 - May 2015 Texas A&M University College Station, Texas, United States



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