Software Engineer Senior

Josh Joseph

Austin, TX *************@*****.*** 865-***-**** linkedin.com/in/josh-joseph-a00900200/ Summary

Versatile and detail-obsessed Senior Software Engineer with 10+ years of experience across cloud-native backend systems, AI/ML pipelines, DevOps automation, frontend architecture, observability tooling, and large-scale distributed microservices. Proven track record leading engineering efforts in regulated environments (HIPAA, finance), building end-to-end solutions from architectural design to production monitoring. Equally skilled in Python and C#, with hands-on proficiency in orchestrating async task queues, managing CI/CD pipelines, designing GraphQL/REST APIs, integrating third-party services, and scaling applications across Kubernetes. Strong mentorship and communication skills; passionate about teaching clean architecture, test-first development, and performance-aware engineering in cross- functional agile teams.

Skills

Languages & Frameworks: Python, C#, JavaScript, TypeScript, SQL, Bash, FastAPI, Django, Flask, ASP.NET Core, .NET Framework, GraphQL, LINQ, Entity Framework, NHibernate, HTML5, CSS3

Frontend Technologies: React, Angular, Redux, Vite, SWR, Bootstrap, SPA Architecture, Responsive Design, GraphQL Client Integration

Backend & API Development: .NET MVC, ASP.NET Core Web API, NHibernate, SQL Server Integration, RESTful Architecture, Azure Functions, Server-side Scripting, API Gateway

Async & Messaging: Kafka, RabbitMQ, Celery, gRPC, WebSockets, SignalR, Azure Queues, Redis Pub/Sub, SQS, Event-driven Architecture

Data & AI/ML: Airflow, Pandas, PySpark, Dask, NumPy, SQLAlchemy, OpenPyXL, TensorFlow, MLflow, scikit-learn, XGBoost, Django ORM, Pydantic, Databricks, Azure Data Factory

DevOps & Cloud: Prometheus, Grafana, Datadog, Application Insights, Fluentd, Loki, ELK, Azure Monitor, Terraform Cloud, GitOps, Docker Compose, Helmfile

Tools & Platforms: Git, Jira, Confluence, Bitbucket, Visual Studio, VS Code, Agile/Scrum/Kanban, Technical Documentation, Code Reviews, Mentorship, ADRs

Testing & QA: PyTest, unittest, xUnit, Selenium, Playwright, Postman, TestContainers, JSON Schema Validation, Contract Testing, Code Coverage, SonarQube, CI-based QA Automation

Soft Skills & Practices: Agile/Scrum, Clean Code, Documentation, Team Collaboration, Mentorship, Rapid Learning, Problem Solving

Experience

SENIOR SOFTWARE ENGINEER NORTHWELL HEALTH SEP 2024 – PRESENT

As the lead backend engineer in a multidisciplinary team (6 software engineers, 1 DevOps, 2 data scientists, 2 product analysts), I architected and delivered multiple production-grade clinical microservices that ingested EHR data from 20+ hospitals via HL7/FHIR and exposed structured APIs to downstream web and mobile apps, dramatically improving clinician decision support and reducing triage bottlenecks by 45%.

Designed and implemented a fully asynchronous microservice ecosystem using Python (FastAPI, Django), Kafka (for streaming HL7/FHIR events), Celery with Redis (for background job orchestration), 2

and gRPC (for low-latency, language-agnostic service communication), ensuring reliable and scalable processing of time-sensitive patient data with tight latency SLAs.

Integrated pre-trained ML models into the pipeline using TensorFlow, MLflow, and ONNX, enabling real- time patient risk stratification and health deterioration scoring; supported A/B testing of model versions using MLflow registry with audit trail support.

Built secure REST and GraphQL APIs that supported both internal dashboards and third-party provider portals, implementing tenant-aware JWT-based authentication, RBAC, and OAuth2 flows using IdentityServer, along with internal service-to-service trust boundaries enforced via mTLS in AKS.

Implemented advanced schema modeling using Pydantic and SQLAlchemy, with Alembic migrations used across PostgreSQL clusters. Designed the DB schema to support high concurrency reads/writes from both async workers and synchronous user queries while maintaining ACID compliance via row-level locking and write batching strategies.

Delivered an exhaustive testing suite: unit tests via PyTest and coverage.py (>95% coverage), integration testing via TestContainers spinning up isolated PostgreSQL and Kafka brokers, and functional UI tests via Playwright and Selenium. Incorporated GitHub Actions to execute pipeline matrix builds (Python 3.9– 3.12) and quality gates enforced with SonarCloud, CodeQL, and branch protections.

Owned end-to-end CI/CD using GitHub Actions with Docker builds, Helm templating, and blue-green rollouts in Azure Kubernetes Service (AKS). Collaborated closely with DevOps to tune HPA and VPA autoscaling metrics and configure Istio routing for canary deployments.

Enabled full observability across services using OpenTelemetry, Prometheus, Grafana, and Azure Monitor Logs, with custom SLO alerts wired into PagerDuty and Slack.

Mentored 3 junior engineers on debugging async tasks, optimizing SQLAlchemy ORM queries, writing maintainable API contracts, and understanding the lifecycle of a production incident from detection to root cause postmortem.

SOFTWARE ENGINEER ON LOCATION JAN 2022 – SEP 2024

Joined a globally distributed, cross-functional team composed of 8 full-stack engineers, 2 QA engineers, 2 designers, and 1 DevOps specialist to build and operate a large-scale event management platform used during the Olympic Games, with responsibilities spanning architecture, development, testing, and observability for features used by thousands of VIP guests and support staff.

Architected and implemented high-concurrency backend services using Python (Django, FastAPI), powered by AWS ECS (Fargate), RDS (PostgreSQL), and ElastiCache (Redis), to manage guest itineraries, VIP ticket allocations, and venue-based real-time check-ins; ensured event throughput could scale dynamically to meet peak usage during live events without performance degradation.

Built resilient, idempotent async workflows using Celery, RabbitMQ, and Redis Streams to orchestrate business-critical tasks like QR-code validation, arrival synchronization, and transportation dispatch. Designed retry logic, exponential backoff, task deduplication, and metrics emission via Prometheus exporters.

Integrated third-party APIs from Stripe (payment), Google Maps (routing), FlightStats (flight data), Airbnb (lodging), and Salesforce (CRM), building a robust API middleware layer using aiohttp with token refresh handlers, circuit breakers (via Tenacity), and centralized rate-limiting logic to prevent service disruptions.

Delivered a fully type-safe GraphQL schema using Pydantic for model serialization and Graphene for schema resolution. Backend integrated with Apollo Client (React) for frontend use, with batching and persisted queries to optimize network performance. Also built custom query depth limiters to mitigate abusive access patterns and improve server-side rendering performance.

Created a complete test automation pipeline including PyTest unit tests, Django integration tests with test databases, and GitLab-hosted Selenium Grid for browser-based end-to-end coverage. Wrote 350+ 3

test cases spanning functional, edge, and regression scenarios; maintained >90% code coverage with nightly test jobs.

Built GitLab CI/CD pipelines for automated Docker builds, vulnerability scans (Trivy), container signing, and multi-environment Helm deployments with rollback strategies. Managed blue/green rollouts and failover support via ALB routing rules and ECS task health checks.

Contributed significantly to Terraform modules for provisioning of AWS infrastructure: IAM roles, security groups, ECS services, S3 buckets (with event triggers), KMS encryption policies, and RDS backups with snapshot lifecycles.

Conducted code walkthroughs and design pairing sessions with junior engineers; published internal ADRs to document architectural trade-offs and Git strategies (feature vs trunk-based flow, squash vs merge).

SOFTWARE ENGINEER NORTHWELL HEALTH JUN 2017 – JAN 2022

As part of a focused 5-person engineering team supporting clinical research operations and longitudinal study tools, developed full-stack applications that automated participant tracking, survey data collection, and medical device integrations for multi-year trials; interfaced with both healthcare providers and research sponsors under HIPAA constraints.

Designed REST APIs using Flask and Django REST Framework that integrated with REDCap, custom EHR export formats, and internal survey platforms, standardizing data across multiple intake tools and creating real-time JSON pipelines feeding PostgreSQL and Azure Blob storage.

Migrated legacy monolithic ETL processes to modular, orchestrated pipelines using Celery, Redis, and PostgreSQL, enabling asynchronous data processing for over 10,000 daily participant records. Optimized transformations using Pandas, SQLAlchemy, and OpenPyXL for sponsor-compliant Excel exports and data normalization.

Developed patient-facing UIs using React + Bootstrap for digital consent forms, medication reminders, and follow-up questionnaires. Used Zustand for state management and form validation libraries to ensure accessibility compliance (WCAG 2.1).

Led integration of ML-driven dropout risk prediction system: trained scikit-learn and XGBoost models on longitudinal participation data, deployed model endpoints with FastAPI and added gRPC support for internal consumption. Results were visualized via clinician dashboards and consumed by care coordinators.

Delivered comprehensive testing coverage via PyTest (unit), unittest (legacy), and xUnit (C# API services). Created CI pipelines in Azure DevOps that executed regression tests, containerized test runners, and Selenium-based UI scripts on nightly schedules.

Collaborated with DevOps and Security teams to enforce access control, encrypt sensitive fields, and implement rotating secrets via Azure Key Vault. Supported annual HIPAA compliance audits and helped prepare SOC2 evidence.

Mentored 2 interns on Django ORM migrations, REST contract design, and secure API development best practices, with a focus on data privacy, ACL patterns, and observability-first development. SOFTWARE ENGINEER INTERN CODESCHOLAR.LY DEC 2016 – JUN 2017

Designed browser-based JavaScript and Angular tutorials used by students across Uniondale and Hempstead high schools. Developed animated walkthroughs using HTML5 Canvas and built a local backend simulator using Node.js to validate student exercises in-browser without needing external connectivity.

Conducted over 20 in-person workshops and interactive sessions for students, teaching concepts ranging from basic JS syntax and DOM traversal to debugging asynchronous callbacks using DevTools. 4

Collaborated with curriculum designers to build interactive sandbox environments hosted via GitHub Pages. Created accessible lesson paths for mobile devices with responsive design principles. Education

BACHELOR OF SCIENCE 2012-2016 STATE UNIVERSITY OF NEW YORK AT OLD WESTBURY B.S. in Computer Science

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