Floats

• Develop and own the organization's DevOps and MLOps strategies, establishing clear standards, tools, and methodologies.
• Design and implement robust practices for CI/CD pipelines, infrastructure as code, and machine learning model lifecycle management.
• Align engineering operations with compliance, security, and regulatory requirements.
• Serve as the lead for site reliability, ensuring continuous availability and high system performance.

• Lead high-impact decisions on technology stacks, tools, and resource distribution to drive DevOps and MLOps efficiency.
• Launch initiatives to accelerate deployment processes, strengthen infrastructure reliability, and improve overall operations.
• Cultivate a DevOps mindset centered on collaboration, automation, and rapid iteration.
• Identify and deploy tools that enhance automation, observability, and ML integration.

• Work closely with engineering, data science, product teams, and executive leadership to align DevOps and MLOps priorities with business goals.
• Serve as the primary point of contact for strategy, updates, and performance metrics related to system operations and reliability.
• Facilitate transparency and alignment between stakeholders across the product development lifecycle.

• Build, lead, and mentor a high-performing DevOps and MLOps team that thrives on innovation and continuous improvement.
• Champion professional development by introducing modern DevOps tools, techniques, and best practices.
• Ensure the team is effectively resourced and equipped to meet the organization's evolving needs.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
• At least 10 years of experience in DevOps or similar technical roles, including 5+ years in a leadership capacity.
• Proficient in CI/CD systems, cloud infrastructure (Azure required; AWS or GCP a plus), containerization (e.g., Docker, Kubernetes), and monitoring tools.
• Strong experience in Azure platform architecture.
• Solid grasp of MLOps practices, including model deployment, versioning, and monitoring.
• Proven leadership and stakeholder management skills in cross-functional environments.
• Skilled in infrastructure as code tools (e.g., Terraform, CloudFormation).
• Familiarity with ML workflows, including model serving and performance tracking tools.
• Certifications in cloud technologies (e.g., AWS Certified DevOps Engineer, Google Professional ML Engineer) are a plus.
• Strong background in Agile or Lean methodologies, with experience driving DevOps transformation at scale.

A fast-growing healthcare services and technology company providing a wide range of care solutions across the medical continuum.

Step into a pivotal leadership role where you'll shape and scale DevOps and MLOps practices in a rapidly growing, tech-enabled healthcare organization - without being tied to a physical office. If you're driven by impact, innovation, and the chance to lead global teams from anywhere, this is your opportunity to make a lasting difference.