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Cloud & Digital Platform Architect

DIALITY INC
Posted 12 days ago, valid for 22 days
Location

Irvine, CA 92614, US

Salary

$177,112 - $196,809 per year

Contract type

Full Time

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Sonic Summary

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  • Diality is seeking a Cloud & Digital Platform Architect to develop innovative software systems for their medical devices, specifically the Moda-flx Hemodialysis System.
  • The role requires a strong background in Digital and Cloud software, with a minimum of 10 years of experience in embedded software development, particularly in regulated environments.
  • Responsibilities include designing cloud-native data platforms, building scalable data pipelines, and ensuring compliance with regulatory standards such as IEC 62304 and ISO 14971.
  • Candidates should possess deep expertise in AWS technologies and experience with AI/ML use cases, while also demonstrating strong collaboration and mentorship skills.
  • The salary for this position is competitive, reflecting the candidate's experience and qualifications.

Company & Job Overview

Diality is a medical device company focused on developing solutions to improve lives impacted by kidney disease. Diality offers the Moda-flx Hemodialysis System, a user-friendly, mobile, and connected hemodialysis system designed to maximize clinical flexibility and ease-of-use for both clinical and non-clinical users. The Moda-flx Hemodialysis system combines flow rate capabilities of conventional in-center dialysis devices with a fully integrated reverse osmosis (RO) water filtration system to provide a broad range of prescriptions and meet the needs of any professional dialysis care setting.


The Cloud & Digital Platform Architect will lead and contribute to the development of Digital, Cloud and connected software systems for medical devices. This role involves implementing complex features, reviewing design decisions, and mentoring team members while ensuring software quality and regulatory compliance. The ideal candidate brings strong Digital and Cloud software expertise, practical experience in regulated development, and collaborative skills to drive project execution.

 

Responsibilities

  • Design and implement cloud-native data platform (Data Lake / Lakehouse) for clinical, device, and operational data.
  • Build scalable pipelines for:
    • Device telemetry (MQTT → ingestion → storage) 
    • Clinical data (FHIR / HL7 / EMR integrations)
  • Enable analytics and reporting using: 
    • Amazon Redshift 
    • Athena / Glue / S3-based Data Lake 
  • Ensure HIPAA-compliant data storage, encryption, and governance 
    • Support real-time + batch analytics use cases
  • Design and enable AI/ML use cases, including: 
    • Predictive alerts (device failures, patient risk) 
    • Clinical insights (treatment optimization) 
  • Build and operationalize MLOps pipelines.
  • Leverage AI-assisted tools (e.g. Codex, Claude, GitHub Copilot) to:
    • Accelerate development 
    • Improve code quality 
    • Automate documentation and testing
  • Collaborate with data science teams for model deployment
  • Lead technical design discussions and guide implementation of scalable, maintainable code.
  • Support architecture development in coordination with SMEs.
  • Ensure traceability, testing, and documentation meet regulatory requirements (IEC 62304, ISO 14971, FDA Class B/C).
  • Contribute to AAMI-TIR45 compliant Agile processes including sprint planning, reviews, retrospectives, and documentation.
  • Apply secure coding practices and support implementation of cybersecurity features for connected systems.
  • Participate in risk analysis, root cause investigation, and design reviews.


Required Skills & Abilities

  • Solid grounding in software architecture including AWS well architected framework.
  • Cloud, Data & AI Expertise
    • Deep expertise in AWS including: 
      • IoT Core, Lambda, API Gateway, Cognito 
      • RDS / Aurora PostgreSQL 
      • S3, Glue, Athena, Redshift (Data Warehouse) 
      • EventBridge, SNS, SQS, Kinesis 
    • Experience designing: 
      • Data Lakes / Lakehouse architectures 
      • Real-time + batch data pipelines 
    • Familiarity with: 
      • MLOps and ML platforms (e.g., SageMaker) 
      • AI-assisted development tools (Codex, Claude, Copilot) 
    • Strong knowledge of: 
      • Event-driven architecture 
      • Multi-tenant SaaS systems 
      • Observability framewor
  • Experience with: 
    • Prompt engineering for code generation 
    • AI-assisted debugging and test generation 
  • Ability to define guardrails for regulated environments.
  • Device identity + certificate lifecycle (PKI, mTLS) 
  • Threat modeling for connected devices 
  • Compliance with: 
    • FDA Cybersecurity Guidance 
    • ISO 27001 / HITRUST (if applicable)




Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in embedded software development, including regulated product development.
  • Strong understanding of IEC 62304 and ISO 14971, with experience generating supporting documentation.

 

Travel

  • The willingness to travel domestically as needed (up to 10%) primarily to visit vendors and attendance at select conferences.


Physical Requirements


  • Sustained periods of time standing and sitting in a laboratory
  • Sitting at a desk utilizing a computer
  • Some lifting of<25 pounds






The information contained in this job description is for compliance with the Americans with Disabilities Act (ADA) and is not an exhaustive list of duties performed for this position.




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