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