Hi, I'm Michael Brinkman, a Senior Software Engineer with 14+ years building reliable, high-throughput systems across Fintech, Healthcare, and large-scale consumer platforms. I specialize in distributed backend architecture, event-driven design, and production performance on AWS and Azure, where downtime or bad data isn't an option. Recently I've focused on financial infrastructure, healthcare interoperability, and real-time pipelines, with a track record of modernizing legacy platforms, mentoring engineers, and shipping changes that move actual business metrics.

Michael Brinkman

Hi, I'm Michael Brinkman, a Senior Software Engineer with 14+ years building reliable, high-throughput systems across Fintech, Healthcare, and large-scale consumer platforms. I specialize in distributed backend architecture, event-driven design, and production performance on AWS and Azure, where downtime or bad data isn't an option. Recently I've focused on financial infrastructure, healthcare interoperability, and real-time pipelines, with a track record of modernizing legacy platforms, mentoring engineers, and shipping changes that move actual business metrics.

Available to hire

Hi, I’m Michael Brinkman, a Senior Software Engineer with 14+ years building reliable, high-throughput systems across Fintech, Healthcare, and large-scale consumer platforms. I specialize in distributed backend architecture, event-driven design, and production performance on AWS and Azure, where downtime or bad data isn’t an option.

Recently I’ve focused on financial infrastructure, healthcare interoperability, and real-time pipelines, with a track record of modernizing legacy platforms, mentoring engineers, and shipping changes that move actual business metrics.

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Experience Level

Expert
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Intermediate
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Work Experience

Senior Software Engineer at Column
March 1, 2022 - Present
Rebuilt the core banking API in Go to eliminate recurring transaction edge cases, reducing transaction error rates by 98% and increasing API throughput by 40% for high-volume merchant workloads. Built a Kafka-based event pipeline to replace a legacy queue that struggled under growing transaction volume, processing 3M+ transactions per day with sub-100ms latency and improved stability during peak loads. Migrated infrastructure to Terraform-managed AWS services (ECS, RDS, Lambda), enhancing deployment consistency and automatic scaling during high-traffic periods, including a 40% volume surge during a major product launch, achieving 99.9% uptime. Introduced Prometheus and Grafana monitoring to detect service degradation before customer escalation, reducing mean incident resolution time by 55% in the first quarter after rollout. Partnered with Compliance to automate KYB/KYC workflows, reducing onboarding time by 30% and lowering manual review backlog during peak onboarding periods. Standar
Senior Software Engineer at NextGen Healthcare
August 1, 2018 - February 2, 2022
Rewrote the frontend of the ambulatory EHR platform in React and TypeScript based on clinician feedback, improving medical record retrieval by 45% and reducing friction in hundreds of daily patient interactions. Redesigned the API layer connecting NextGen to external hospital systems using .NET Core and Node.js, cutting sync latency by 50% and eliminating a recurring class of provider-reported integration issues. Improved the multi-tenant data layer for a high-volume EHR subsystem through PostgreSQL query tuning, a Redis caching layer, and schema changes to reduce cross-tenant contention, stabilizing response times during peak clinic hours. Added GraphQL support for FHIR and HL7 data exchange, simplifying hospital partner onboarding and reducing integration errors by 30%. Helped the platform achieve top-five industry ranking, contributing to a 25% increase in product adoption and 18% improvement in customer retention.
Software Engineer at Facebook (Meta)
June 1, 2015 - July 1, 2018
Improved News Feed React performance on low-end devices by reducing rendering time ~12% through removing unnecessary re-renders, deferring non-essential UI work, and lazy-loading below-the-fold content, delivering measurable gains in interaction latency. Built Python-based internal tooling and data-access workflows for product and data teams to inspect feed experiments, debug recommendation inputs, and validate data quality before rollout. Refined GraphQL fetching on the News Feed surface to allow frontend teams to request only needed data, reducing payload size and query volume by ~20%. Collaborated across product, data engineering, and infra to improve latency and rollout safety for high-traffic feed surfaces, including enhanced debugging tooling for experiment rollouts.
Software Engineer at Natus Medical
January 1, 2012 - May 1, 2015
Joined after university to work on neonatal nutrition monitoring system where data accuracy and speed were critical. Built real-time data interfaces in Java and Spring with live updates every 3 seconds and latency under 200ms. Built the full data pipeline connecting embedded medical devices to hospital databases and the clinician dashboard using WebSockets for real-time sync and REST APIs for standard operations, delivering a 30% improvement in data transfer time after the first major release. Worked with hardware and compliance teams to harden data flows against HIPAA requirements, contributing to audit remediation and improved handling of PHI. Contributed to the clinician dashboard that surfaced critical neonatal alerts, reducing alert response time by 40% in NICU settings where latency mattered.

Education

Bachelor of Science in Computer Science at Auburn University
August 1, 2007 - May 1, 2011
Bachelor of Science in Computer Science at Auburn University
August 1, 2007 - May 1, 2011

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Financial Services, Other