Principal MLOps Engineer (Healthcare)

TL;DR

Principal MLOps Engineer (Healthcare): Leading the operational architecture, deployment strategy, and reliability engineering for AI integration into high-stakes Healthcare Information Systems with an accent on production discipline, compliance, and system resilience. Focus on architecting automated release pipelines, defining enterprise monitoring standards, and ensuring model reliability in mission-critical clinical environments.

Location: Remote (US). New hires are required to travel to a designated company location for on-site onboarding.

Salary: $142,800 - $196,350

Company

hirify.global is a healthcare company focused on creating breakthrough solutions at the intersection of health, material, and data science to improve patient lives.

What you will do

• Architect and govern enterprise release processes, including automated approval gates and deployment readiness standards.
• Oversee the enterprise model registry to ensure seamless CI/CD integration and version control traceability.
• Define and enforce monitoring standards, SLAs, and SLOs across the AI ecosystem.
• Establish incident management frameworks, including triage workflows, postmortems, and rollback mechanisms.
• Partner with platform teams to provide compliance support and ensure operational security.
• Guide junior engineers in maintaining operational runbooks and reliable deployment pipelines.

Requirements

• Must be legally authorized to work in the US without sponsorship.
• Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
• 10+ years of software engineering experience, with 6+ years in deploying and maintaining large-scale production ML systems.
• Expert-level experience with cloud providers (AWS/GCP/Azure) and orchestration tools like Kubernetes, Kubeflow, or Airflow.
• Proficiency in Python and Java/Go, with deep knowledge of backend frameworks and system design.
• Expert knowledge of observability stacks (Prometheus, Grafana, Datadog) and enterprise SLA/SLO management.

Nice to have

• Master’s or PhD in Computer Science or Software Engineering.
• Deep understanding of cybersecurity best practices and ATO processes in regulated industries like Healthcare or Finance.
• Proven ability to design systems for massive concurrency and distributed data processing.

Culture & Benefits

• Competitive compensation and benefits package including medical, dental, and vision insurance.
• Retirement benefits and flexible spending accounts.
• Commitment to professional integrity and a collaborative, empathy-driven work environment.
• Regular benchmarking to ensure competitive pay and comprehensive well-being programs.