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Cloud & Digital Platform Architect

Job in Irvine, Orange County, California, 92713, USA
Listing for: Diality Inc.
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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.

Role Overview

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, clinical data, and analytics.
  • Enable analytics and reporting using Amazon Redshift and 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 and clinical insights.
  • Build and operationalize MLOps pipelines.
  • Leverage AI-assisted tools to accelerate development, improve code quality, and 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-TIR
    45 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.
Requirements
  • 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 Postgre

    SQL, S3, Glue, Athena, Redshift, Event Bridge, SNS, SQS, Kinesis.
  • Experience designing Data Lakes / Lakehouse architectures and real-time + batch data pipelines.
  • Familiarity with MLOps and ML platforms (e.g., Sage Maker).
  • Experience with AI-assisted development tools (Codex, Claude, Copilot).
  • Strong knowledge of event-driven architecture, multi-tenant SaaS systems, and observability frameworks.
  • Experience with prompt engineering for code generation and AI-assisted debugging and test generation.
  • Ability to define guardrails for regulated environments and 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
  • Will travel domestically as needed (up to 10%) primarily to visit vendors and attend select conferences.
Physical Requirements
  • Sustained periods of standing and sitting in a laboratory.
  • Sitting at a desk utilizing a computer.
  • Some lifting of
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