I’m Matt Niz, a senior backend Python engineer with 8+ years of experience building scalable SaaS platforms, distributed systems, and cloud-native applications. I specialize in Python (Django, FastAPI), PostgreSQL and Redis, and I enjoy turning complex data and performance challenges into reliable, high-performance APIs. I’ve led architecture and delivery across microservices and event-driven workflows on AWS and Kubernetes, with a strong focus on observability, CI/CD, and database optimization. I also integrate AI capabilities (including GPT-based solutions) to automate workflows and reduce manual effort, while mentoring teams to consistently ship enterprise-grade products.

I’m Matt Niz, a senior backend Python engineer with 8+ years of experience building scalable SaaS platforms, distributed systems, and cloud-native applications. I specialize in Python (Django, FastAPI), PostgreSQL and Redis, and I enjoy turning complex data and performance challenges into reliable, high-performance APIs. I’ve led architecture and delivery across microservices and event-driven workflows on AWS and Kubernetes, with a strong focus on observability, CI/CD, and database optimization. I also integrate AI capabilities (including GPT-based solutions) to automate workflows and reduce manual effort, while mentoring teams to consistently ship enterprise-grade products.

Available to hire

I’m Matt Niz, a senior backend Python engineer with 8+ years of experience building scalable SaaS platforms, distributed systems, and cloud-native applications. I specialize in Python (Django, FastAPI), PostgreSQL and Redis, and I enjoy turning complex data and performance challenges into reliable, high-performance APIs.

I’ve led architecture and delivery across microservices and event-driven workflows on AWS and Kubernetes, with a strong focus on observability, CI/CD, and database optimization. I also integrate AI capabilities (including GPT-based solutions) to automate workflows and reduce manual effort, while mentoring teams to consistently ship enterprise-grade products.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Lead Full Stack Python Developer at Agile17
March 1, 2022 - Present
Architected and developed multi-tenant SaaS platforms using Django, FastAPI, PostgreSQL, and Redis, supporting 500K+ daily API requests. Designed microservice-based backends deployed on AWS ECS and Kubernetes to improve scalability and fault isolation. Optimized PostgreSQL query performance through indexing and caching, reducing API response times by 45%+. Built asynchronous processing pipelines using Celery, Redis, and AWS SQS for high-volume background jobs and event-driven workflows. Integrated OpenAI GPT capabilities for automated report generation and intelligent data analysis, reducing manual operational effort by 60%. Led backend architecture decisions, code reviews, and mentoring; automated provisioning via Terraform and implemented CI/CD using GitHub Actions and Docker, enabling zero-downtime deployments. Implemented observability with CloudWatch and centralized logging/monitoring, reducing incident resolution time by 30%.
Full Stack Developer at Arine, Inc
March 20, 2020 - February 1, 2022
Developed scalable Flask APIs for IoT-based insights, reducing data retrieval lag by 35%. Built React.js visualization components to enable live reporting for 100+ enterprise users. Designed normalized MySQL schemas and triggers and integrated Redis for asynchronous processing. Managed containerized services with Docker and deployed to Kubernetes clusters on AWS. Implemented Selenium and UnitTest suites for regression/functional testing, achieving 85% test accuracy. Used OAuth and JWT for authentication and role-based access control. Partnered with QA and DevOps to define quality standards, reducing post-release bugs by 50%.
Python Developer at Codility Solution
April 1, 2018 - March 20, 2020
Built RESTful APIs in Flask and FastAPI for CRM features, improving API latency by 25%. Delivered custom JavaScript/Bootstrap frontend modules for internal admin tools. Used AWS Lambda for data processing and job scheduling to power serverless nightly reports. Implemented PyTest-based testing strategies to catch 80% of bugs pre-deployment. Created data integrity validation tools that reduced reporting errors by 40%. Contributed to Agile planning and grooming to accelerate sprint throughput by 15%.

Education

Add your educational history here.

Qualifications

Bachelor of Science
January 11, 2030 - September 1, 2026
Bachelor of Science
January 11, 2030 - September 1, 2026

Industry Experience

Software & Internet, Manufacturing

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
See more