Head of DevOps

Head of DevOps & MLOps

Position Type: Full-Time

Compensation: Up to PHP 315,000

Job Location: Remote

Job Highlights:

1. High Compensation Tied to Business Outcomes: You will be well-rewarded for meeting critical objectives and deadlines.
2. Empowerment & Resources: We will provide the right tools and teams to help you succeed on your own terms.
3. Flexibility & Accountability: You will have autonomy to structure your approach, but must deliver results.
4. Performance-Based Bonus: Exceptional delivery warrants additional rewards.
5. Paid Time Off: Relax and recharge with paid vacation and sick leaves.
6. Bonus Boost: Enjoy an extra bonus with our 13th month pay.
7. Health Matters: Get comprehensive HMO coverage upon regularization.
8. Work-Ready: We provide the essential work device for seamless productivity.
9. Work From Home: Enjoy the flexibility and convenience of a fully remote position—work from anywhere in the world without ever needing to commute to an office.

Company Overview:

Theoria Medical is a comprehensive medical group and technology company dedicated to serving patients across the care continuum with an emphasis on post-acute care and primary care. Theoria serves facilities across the United States with a multitude of services to improve the quality of care delivered, refine facility processes, and enhance critical relationships. We offer a broad scope of services including multispecialty physician services, telemedicine, remote patient monitoring, and more. We currently operate primary care clinics and provide medical services to skilled nursing facilities in numerous states across the nation.

As a leading edge, innovative, and quality driven physician group, we continue to expand nationally. In pursuit of this, we continue to seek talented individuals to join our amazing team and care for our population. We wish to extend a warm welcome to all candidates interested in making a difference in healthcare delivery by joining the Theoria team.

The Head of DevOps & MLOps is a senior leadership role responsible for defining and driving the organization's DevOps and MLOps strategy. This role oversees the governance, scalability, and performance of the CI/CD infrastructure and machine learning operations, ensuring alignment with overall business and technology goals. The ideal candidate will provide both strategic direction and hands-on leadership

Shift Structure:

• TBA

Responsibilities:

• Strategy and Governance
  • Define and implement the overarching DevOps and MLOps strategy.
  • Establish policies, frameworks, and best practices for CI/CD, infrastructure as code, and ML lifecycle management.
  • Ensure compliance with regulatory and security standards in deployment pipelines.
• Leadership and Decision-Making
  • Make high-level decisions on DevOps tools, platforms, automation, and resource allocation.
  • Drive strategic initiatives to improve infrastructure reliability, deployment speed, and operational efficiency.
  • Champion a DevOps culture of collaboration, automation, and continuous improvement.
• Collaboration and Communication
  • Collaborate with executive leadership, engineering teams, data science, and other key stakeholders.
  • Communicate DevOps and MLOps strategies, performance metrics, risks, and project updates to leadership and cross-functional teams.
  • Align DevOps efforts with product and business priorities.
• Team Leadership and Development
  • Lead and mentor DevOps and MLOps teams, fostering a high-performing, agile, and innovative environment.
  • Guide professional development and training in modern DevOps practices and tools.
  • Ensure proper staffing and capability building within the team.

Requirements and Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 10 years of experience in DevOps or related engineering roles, with 5 years in a leadership capacity.
• Deep knowledge of CI/CD pipelines, cloud infrastructure (AWS, Azure, GCP), containerization (Docker, Kubernetes), and monitoring/logging tools.
• Solid understanding of MLOps practices including model versioning, deployment, and monitoring.
• Strong leadership, communication, and stakeholder management skills.
• Experience with infrastructure as code (Terraform, CloudFormation, etc.).
• Familiarity with machine learning workflows, model serving, and model performance tracking tools.
• Certifications in cloud platforms (e.g., AWS Certified DevOps Engineer, Google Professional ML Engineer).
• Background in Agile/Lean methodologies and experience implementing DevOps at scale.

Compensation and Benefits:

• 2 rest days per week
• 13th Month Pay

Employee must be able to perform the essential functions of this position satisfactorily, with or without a reasonable accommodation. Employer retains the right to change or assign other duties to this position.

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