Senior Python Full-Stack Engineer, Agentic AI

Chris McIntosh

650-***-**** **********@*******.*** https://www.linkedin.com/in/chris-m-3a428793/ Miami, FL SUMMARY

Senior full-stack engineer (8+ years) specializing in Python, React, and AWS-based systems with strong ownership across API design, scalability, and production operations. Proven track record delivering cloud-native platforms on Kubernetes, integrating Kafka/streaming and NoSQL data stores, and raising quality via CI/CD, testing, and observability. Experienced applying agentic AI workflows to accelerate delivery through code optimization, automated refactoring, and developer productivity improvements. SKILLS

Backend: Python, FastAPI, Django, Flask, REST APIs, Microservices, Event-driven architecture, gRPC Frontend: React, TypeScript, JavaScript, Next.js, Redux, HTML/CSS Cloud: AWS, EKS, EC2, S3, RDS, CloudWatch, IAM, VPC Data: NoSQL, DynamoDB, MongoDB, PostgreSQL, Redis, Elasticsearch DevOps/IaC: Kubernetes, Docker, Terraform, CI/CD, GitHub Actions, Jenkins, Helm Observability: Splunk, Dynatrace, OpenTelemetry, Prometheus, Grafana, Alerting and on-call AI/ML: Agentic AI, MCP, Google ADK, LLM tool/function calling, RAG patterns, AI-assisted code optimization Testing: pytest, unittest, JUnit, Mockito, Contract testing, Integration testing, Load testing Security: OAuth2/OIDC, JWT, Secrets management, Least-privilege IAM, SAST/DAST basics, Dependency scanning EMPLOYMENT HISTORY

Cardinal Health Dublin, OH

Lead Software Engineer 04/2025 - 02/2026

Led design and delivery of Python microservices (FastAPI) on AWS EKS/Kubernetes, improving API latency ~35% via profiling, async I/O, and query optimization.

Built event-driven workflows using Kafka for near-real-time processing; introduced idempotent consumers and replay-safe patterns that reduced incident recurrence by ~40%. Implemented React + TypeScript UI enhancements tied to backend REST APIs, improving task completion time ~20% through streamlined flows and client-side caching.

Hardened CI/CD with GitHub Actions/Jenkins, container scanning, and automated rollbacks; cut deployment time from hours to <20 minutes and increased release frequency.

Introduced infrastructure-as-code with Terraform and Helm for Kubernetes deployments, standardizing environments and reducing configuration drift across clusters.

Operationalized observability using Dynatrace and Splunk dashboards/alerts; improved MTTR ~30% by adding distributed tracing (OpenTelemetry) and actionable SLO-based alerting. Applied agentic AI (MCP-style tool orchestration) to automate code review checks, refactoring suggestions, and performance tuning recommendations, accelerating PR throughput ~25% while maintaining quality gates. Partnered in architecture and design reviews, performing senior-level code reviews across Python, TypeScript, and SQL/NoSQL changes with a focus on security (OAuth2/JWT) and reliability. Ware2Go Atlanta, GA

Principal Engineer 04/2021 - 03/2025

Architected and delivered cloud-native services in Python (FastAPI/Django) on AWS with Kubernetes, scaling high-throughput workflows while maintaining predictable p95 latency under load. Implemented streaming integrations with Kafka to coordinate asynchronous processing, improving throughput ~2x and enabling resilient backpressure handling for peak traffic periods. Designed data models across DynamoDB, PostgreSQL, and Redis to balance consistency, performance, and cost; reduced hot-partition issues via key redesign and adaptive caching. Built and maintained React + TypeScript front-end components for internal tooling and operational dashboards, integrating with backend REST APIs and role-based access controls.

Established CI/CD standards (GitHub Actions/Jenkins), test automation (pytest, integration tests), and quality gates that reduced escaped defects ~30% and improved developer confidence. Rolled out production monitoring and alerting with Splunk and Dynatrace, including service-level dashboards and runbooks that reduced on-call noise and improved MTTR.

Prototyped and productionized agentic AI developer tooling to accelerate development (automated code modernization, dependency upgrade assistance, and performance linting), improving cycle time for common changes. BetterCloud New York, NY

Senior Software Engineer 09/2013 - 04/2021

Developed and maintained backend services in Python (Django/Flask) delivering REST APIs for SaaS administration workflows; improved reliability through structured error handling and retries. Implemented asynchronous processing and integrations using Kafka-style messaging patterns and background workers, reducing time-to-complete for long-running jobs by ~40%. Built customer-facing and internal UI features using React and JavaScript, partnering with backend teams to define API contracts and improve end-to-end performance.

Strengthened test coverage and release safety with pytest suites, integration tests, and CI pipelines; reduced regressions by enforcing code review standards and automated checks. Improved production visibility with Splunk-based logging and alerting, adding correlation IDs and structured logs to speed incident triage and root-cause analysis.

EDUCATION

Georgia Institute of Technology Atlanta, GA

Bachelor of Science, Computer Science 2009 - 2013

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