Prolaio Logo

Prolaio

Sr. Director, Platform Engineering & Tooling

Posted 18 Days Ago
Be an Early Applicant
Easy Apply
Hybrid
Chicago, IL
239K-239K Annually
Senior level
Easy Apply
Hybrid
Chicago, IL
239K-239K Annually
Senior level
Leads the strategy, roadmap, and execution of Prolaio’s cloud-native platform engineering capabilities across GCP environments. Owns observability, infrastructure tooling, access controls, data lifecycle management, platform services, automation, governance, and AI-enabled features. Partners with engineering, data, security, quality, product, and clinical teams to deliver secure, compliant, auditable healthcare data platforms. Builds and mentors a high-performing platform engineering organization supporting clinical research, analytics, data science, and enterprise data services.
The summary above was generated by AI

Who Are We?

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.

This is precision cardiology, and we know it’s within reach.

What Will You Do?

The Overview

The Sr. Director, Platform Engineering & Tooling will be the senior leader responsible for shaping and scaling Prolaio’s cloud-native platform engineering capabilities that underpin its clinical, quality, research, and AI-driven data ecosystem. This role owns the foundational tooling (including observability, cloud infrastructure tooling, platform access, data access controls, and data lifecycle management), platform services, and shared engineering capabilities required to support secure, scalable, and governed access to data and platform resources across clinical trials, QMS workflows, clinical research, data science, analytics, and data services in a regulated healthcare environment. This role will ensure that core platform features and services are built with security, privacy, compliance, and auditability by design, and other regulatory expectations relevant to Prolaio’s clinical and patient-data environment. This role will partner with colleagues in Product, Engineering, Quality, Clinical Operations to embed security, privacy, HIPAA and regulatory expectations into every layer of the platform. This is a role for a self-starter and experienced engineering leader who brings both organizational leadership and strong technical credibility in designing, building, and continuously enhancing healthcare data platforms and AI-enabled platform features in a growth-stage company

The Specifics

  • Lead Prolaio’s platform engineering strategy and roadmap to deliver secure, scalable, and reliable cloud and data platform capabilities aligned to business, clinical, and AI priorities.
  • Build and evolve the core platform tooling needed for observability, monitoring, logging, alerting, reliability, and cloud operations across GCP-based environments.
  • Own foundational platform capabilities for platform access, data access, identity-aware controls, service authorization, and secure environment provisioning.
  • Drive platform services and automation for data lifecycle management, including ingestion, validation, publishing, retention, archival, lineage, traceability, and audit readiness.
  • Partner with the Director of Data Engineering to strengthen Prolaio’s data architecture, API’s, data pipelines, and warehouse capabilities as part of the broader enterprise data platform.
  • Deliver reusable platform features and shared services that accelerate clinical research, analytics, data science, and data services teams.
  • Ensure platform features are designed with security, privacy, compliance, and HIPAA-aligned controls built in from the start, including support for regulated and validated environments.
  • Lead the development of AI-powered platform capabilities such as intelligent monitoring, workflow automation, metadata enrichment, and policy-aware access enablement.
  • Partner across Security, Quality, Clinical Operations, Product, and Data teams to embed governance, operational controls, and regulatory readiness into the platform lifecycle.
  • Build, mentor, and lead a high-performing platform engineering team with clear ownership, strong execution discipline, and a mindset suited to a fast-moving growth-stage company.

Why Prolaio?

  • Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
  • Innovative Environment: You will be part of an organization doing something that’s never been done before.
  • Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
  • Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?

  • Bachelor’s degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field.
  • Minimum 15 years of experience in healthcare, medtech, life sciences, digital health, or another patient-focused environment, with meaningful responsibility for data platforms, platform engineering, or cloud-native enterprise platforms. Minimum 7 years of experience as Sr. Director/VP Engineering or Platform Engineering.
  • Demonstrated success as a senior engineering leader, including building, scaling, and coaching engineering teams while maintaining strong technical judgment and delivery accountability. 
  • Proven experience designing, developing, and successfully delivering modern data platforms or platform engineering capabilities that support analytics, data science, clinical operations, quality, and enterprise data use cases. 
  • Strong experience with GCP and cloud-native platform engineering practices, including infrastructure automation, observability, access controls, API-first architectures, and scalable service design. 
  • Strong software engineering experience using Python and at least one of Java or .NET, with familiarity building internal platform features, services, or developer tooling; experience with SQL is required. Experience with Angular or React is good to have. 
  • Deep understanding of the capabilities needed to support clinical trials, QMS ecosystems, clinical research, data science, analytics, and data services in regulated healthcare settings. 
  • Familiarity with metadata, lineage, catalog, governance, and AI-enablement tools, including platforms for semantic indexing, vectorization, retrieval, and data lifecycle automation. 
  • Experience implementing data lifecycle management, governed data access, metadata or lineage-aware architectures, and platform controls that support traceability, reproducibility, auditability, and privacy requirements. 
  • Strong working knowledge of healthcare security, privacy, and compliance expectations, including HIPAA and regulated system practices such as 21 CFR Part 11 and GxP-aligned controls, as they apply to platform engineering and patient-data systems. 
  • Ability to operate as a self-starter in a cross-functional, matrixed, growth-stage environment, partnering effectively with CIO leadership, Engineering, Security, Quality, Clinical Operations, Product, Analytics and Data Science teams. 

Why You’ll Love Working Here

  • Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
  • Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
  • Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
  • Time to Recharge: Generous paid time off, sick leave, and company holidays.
  • Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
  • Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
  • Plan for the Future: 401(k) plan to help you build long-term financial security.
  • Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $239,000.00 (Exact Compensation may vary based on skills, experience, and location)

Similar Jobs at Prolaio

Yesterday
Easy Apply
Hybrid
Easy Apply
231K-231K Annually
Senior level
231K-231K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Mobile • Wearables • Analytics
Leads Prolaio’s enterprise information security and cloud operations strategy for an AI-driven healthcare platform. Owns cybersecurity, continuous compliance, cloud infrastructure, threat modeling, vulnerability management, identity and access management, incident response, vendor risk, and AI security. Establishes security-as-code and automated compliance frameworks supporting HITRUST, ISO, HIPAA, FDA, GxP, and privacy requirements while partnering with engineering, data, clinical, and executive teams.
Top Skills: 21 Cfr Part 11Ai Model ServingAWSAzureCompliance-As-CodeContainersCsaCsvData LakesDevsecopsFdaGCPGpu ClustersGxpHipaaHitrustInfrastructure-As-CodeIso 27001Iso 42001KubernetesMicroservicesObservabilitySecurity-As-CodeServerless ArchitectureVector DatabasesZero Trust Networking
18 Days Ago
Easy Apply
Hybrid
Easy Apply
229K-229K Annually
Senior level
229K-229K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Mobile • Wearables • Analytics
Lead Prolaio’s enterprise data engineering strategy, architecture, pipelines, cloud data platforms, integrations, governance, and AI-enabled data capabilities for regulated healthcare applications. Build secure, scalable systems supporting clinical, device, patient-generated, research, analytics, and product data. Establish engineering standards for lineage, provenance, lifecycle management, privacy, HIPAA, and auditability. Hire and manage high-performing teams, influence cross-functional architecture decisions, and evaluate data platform vendors and tools.
Top Skills: .NetAngularAWSAzureBigQueryCdiscDatabricksFhirGCPHipaaHl7IcdJavaLoincOmopPythonReactRedshiftRxnormSnomed CtSnowflakeSQLSynapse
24 Days Ago
Easy Apply
Hybrid
Easy Apply
60K-60K Annually
Senior level
60K-60K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Mobile • Wearables • Analytics
Leads overnight customer success and technical support operations for clinical projects. Provides escalations, mentoring, ticket auditing, SLA and quality monitoring, process improvements, and cross-functional coordination. Handles participant and clinician support, device and platform troubleshooting, compliance alerts, data collection, inventory orders, and ticket resolution. Also performs clinical research coordination activities, including virtual visits, data entry, query resolution, training, participant recruitment, and communication with clinical and sponsor teams.
Top Skills: CRMEdcGoogle SuiteIvrsProject Management ToolsQmsZendesk

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account