Platform Engineer In Healthcare Resume Example

Professional ATS-optimized resume template for Platform Engineer In Healthcare positions

John Doe

Platform Engineer | Healthcare Technology

Email: john.doe@example.com | Phone: (555) 123-4567 | LinkedIn: linkedin.com/in/johndoe | Location: San Francisco, CA

PROFESSIONAL SUMMARY

Innovative Platform Engineer with over 6 years of experience designing and deploying scalable, secure, and compliant healthcare platform solutions. Adept at integrating cloud-native architectures, managing HIPAA-compliant workflows, and optimizing healthcare data pipelines. Skilled in evolving healthcare standards like HL7 FHIR, with a passion for leveraging automation and AI to improve patient outcomes. Proven track record of leading cross-functional teams to deliver resilient healthcare solutions aligned with ever-changing regulatory landscapes.

SKILLS

**Hard Skills**

- Cloud Platforms: AWS (HEALTHLAKE, Lambda, ECS, EKS), Azure (Healthcare APIs, AKS)

- Healthcare Standards: HL7, FHIR, DICOM, HIPAA Compliance

- Infrastructure as Code: Terraform, CloudFormation, Ansible

- Containerization & Orchestration: Docker, Kubernetes/EKS, OpenShift

- CI/CD Pipelines: Jenkins, GitLab CI, Argo CD

- Programming & Scripting: Python, Bash, Go

- Data Pipelines: Apache Kafka, NiFi, Spark

**Soft Skills**

- Cross-team Collaboration & Leadership

- Problem Solving in Critical Environments

- Agile & DevOps Mindset

- Strong Communication & Documentation

- Regulatory & Security Awareness

WORK EXPERIENCE

*Senior Platform Engineer — Meditech Solutions, San Francisco, CA*

March 2022 – Present

- Led migration of legacy healthcare data systems to AWS cloud, enhancing scalability and reducing data processing latency by 40%

- Developed HIPAA-compliant, serverless data pipelines using AWS Glue and Lambda, improving real-time patient data analytics

- Orchestrated deployment of a Kubernetes-based platform supporting over 50 microservices, ensuring high availability and disaster recovery

- Collaborated with clinical teams to integrate HL7 FHIR APIs, increasing interoperability with external EHR systems

- Instituted CI/CD workflows with Jenkins and Argo CD, reducing deployment times by 30% and improving deployment reliability

*Platform Engineer — HealthTech Innovate, Mountain View, CA*

June 2018 – February 2022

- Designed and deployed containerized healthcare analytics platform on Azure, supporting predictive models for patient risk stratification

- Implemented secure CI/CD pipelines supporting HIPAA compliance and automated vulnerability scanning

- Developed automation scripts in Python for health data ingestion and anonymization, streamlining onboarding of third-party data sources

- Participated in vendor evaluations for FHIR integration tools, selecting solutions that enhanced interoperability and compliance

- Worked closely with data scientists and clinicians to optimize data flow and ensure data integrity

*Junior Cloud Engineer — CareConnect Analytics, Palo Alto, CA*

January 2016 – May 2018

- Supported cloud infrastructure for healthcare data warehouse on AWS, learning HIPAA security best practices

- Assisted in deploying containerized applications using Docker and OpenShift

- Managed backup, disaster recovery, and security configurations aligned with healthcare regulations

- Contributed to internal documentation for platform processes and compliance standards

EDUCATION

**Bachelor of Science in Computer Science**

University of California, Berkeley — 2012–2015

CERTIFICATIONS

- AWS Certified Solutions Architect – Professional (2022)

- HITRUST CSF Certified (2023)

- Certified Kubernetes Administrator (CKA) (2023)

PROJECTS

- **Real-time Patient Monitoring Platform**

Designed a HIPAA-compliant, real-time data ingestion and notification system using Kafka, AWS Lambda, and FHIR APIs, reducing alert latency from 20 minutes to under 2 minutes.

- **Interoperability Framework for EHR Systems**

Led a cross-team initiative to develop an HL7 FHIR gateway integrating multiple EHR providers, resulting in a 25% decrease in manual data reconciliation efforts.

- **AI-powered Clinical Data Validation**

Collaborated with data scientists to deploy machine learning models on healthcare data streams, improving data accuracy and reducing manual validation by 35%.

LANGUAGES

- English (Native)

- Spanish (Fluent)

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