Joseph Kale
@josephkale
Staff software engineer building scalable backend and AI platforms for healthcare.
What I'm looking for
I’m a Staff Software Engineer focused on delivering production-grade backend and platform systems that help teams move faster and make better decisions. At Tempus AI, I led AI-powered development in a fast-paced environment, delivering HIPAA-compliant solutions that enabled physicians to retrieve critical data in seconds.
My work consistently combines scalable engineering with applied AI. I built microservices for Tempus One using Go and Java/Spring Boot on AWS EKS/EC2, engineered real-time synchronization with Apache Kafka across AWS and GCP, and optimized query pipelines with Python, Apache Spark, and PostgreSQL—improving analysis speed by 3x.
I also build for reliability, observability, and delivery velocity. I implemented alerting with Spring Boot and Google Cloud Functions (FHIR-enabled workflows), raised automated test coverage to 92% using Cypress, and maintained CI/CD pipelines with Jenkins, Docker, and Kubernetes—shrinking release cycles from weeks to hours.
Earlier, at Google, I delivered backend systems for Google Pay, including fraud detection and real-time processing using Go/Node.js, Pub/Sub, and GCP services. Across both roles, I bring an event-driven, microservices mindset—grounded in Agile/Scrum—and I mentor engineers to accelerate adoption and execution.
Experience
Work history, roles, and key accomplishments
Led AI-powered backend and platform development for HIPAA-compliant clinical workflows, delivering faster access to critical patient data (8M+ records) and reducing model deployment cycles from weeks to days. Built scalable microservices and real-time synchronization with Kafka and optimized analytics pipelines, improving performance (e.g., 3x faster insights, 60% faster analytical queries) and ac
Built scalable backend systems for Google Pay using Go, Node.js, and GCP services to support millions of daily transactions, improving real-time throughput (+35%) and reducing latency (-45%). Developed fraud detection and secure payment infrastructure for PCI-DSS compliance, reducing fraudulent transactions by 28% and enhancing payment experiences across web and contactless flows.
Education
Degrees, certifications, and relevant coursework
Northern Illinois University
Bachelor of Science, Computer Science
2010 - 2014
Earned a Bachelor of Science degree in Computer Science at Northern Illinois University from 2010 to 2014.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
GitHub
Kubernetes
Jenkins
CircleCI
GitHub Actions
React Native
NumPy
MySQL
PostgreSQL
MongoDB
Node.js
Django
Spring Boot
Ruby on Rails
Next.js
.NET
Tailwind CSS
Web Components
Redis
Terraform
Mocha
JavaScript
Java
TensorFlow
PyTorch
Kubeflow
Kafka
RabbitMQ
Azure Service Bus
FastAPI
Grafana
Prometheus
GraphQL
Firebase
gRPC
Google Cloud Functions
RSpec
pytest
JUnit
Time Analytics
SQL
Hugging Face
LangChain
Playwright
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