Sr. Platform Engineer

Spacelabs Healthcare is dedicated to improving patient care and advancing health equity through innovative technologies. The Sr. Platform Engineer will work with the Cloud Services division, collaborating with various teams to design AI-driven capabilities and resolve technical inquiries, while ensuring compliance with healthcare standards.

Responsibilities:

• Work with AWS Bedrock to integrate, deploy, and operationalize LLM-based services such as Claude and other foundation models
• Ensure AI systems comply with regulatory, privacy, and security requirements within healthcare and telemetry monitoring environments
• Build, optimize, and maintain machine learning inference pipelines using Amazon SageMaker and other AWS AI services
• Implement monitoring, logging, and cost-optimization strategies for AI workloads running on SageMaker, Bedrock, and containerized environments
• Develop automation around model versioning, model deployment, dataset management, and CI/CD for ML workflows
• Troubleshoot performance issues in LLM endpoints, SageMaker endpoints, embedding generation, and vector retrieval services
• Effectively manage and assign projects as necessary while lending continuous support to the team with a good amount of availability
• Responds timely and effectively to all system alerts and outages
• Continuously evaluate existing systems with industry standards and make recommendations for improvement
• Work closely with subject matter experts to interpret requirements and translate them into software solutions
• Work closely with global tech support in the identification and resolution of production issues
• Participate in technical meetings with the client's technical specialists
• Assist Technical agencies with troubleshooting any performance issues (either database or with the application/API’s) or system failure
• Researches and resolves cases in the production support queue
• Provide visibility into business and systems performance metrics, in support of capacity planning and business reports
• Analyze information to determine, recommend, and plan the installation of a new system or modification of an existing system
• Coordinates the definition of processes and standards related to production functions
• Coordinates the research and troubleshooting of production issues
• Coordinates in the planning and execution of strategic architecture changes
• Stays current on and evaluates the potential use of new technologies in production
• Upholds Spacelabs values of Customer Obsession, Ownership Mindset, and Superior Results
• Uphold the company’s core values of Integrity, Innovation, Accountability, and Teamwork
• Demonstrates behavior consistent with the Company’s Code of Ethics and Conduct
• It is the responsibility of every Spacelabs Healthcare employee to report to their manager or a member of senior management any quality problems or defects for corrective action to be implemented and to avoid recurrence of the problem
• Duties may be modified or assigned at any time to meet the needs of the business

Requirements:

• Bachelor's degree in computer science or equivalent experience; additional combination of relevant experience and education may substitute
• 8+ years' relevant DevOps / SRE experience required
• Medical Device and/ or healthcare industry experience required
• Familiarity with software management, development, and build frameworks, including Jenkins, Maven, Git/SVN, GitHub, and common IDEs
• Has worked in an Agile Development environment using tools like JIRA, Confluence, and has been a member of Scrum teams
• Experienced with AI model lifecycle management, security considerations, and healthcare compliance constraints
• Proven experience creating CI/CD pipelines for machine learning workflows and automating AI service deployment
• Strong experience with Linux-based infrastructures, Linux/Unix administration, and AWS
• Able to work, influence, and lead in a highly cross-functional team environment
• Excellent communication and negotiation skills, for both internal and external audiences, at all levels
• Takes a logical, analytical approach to problem solving and pays close attention to detail
• Self-motivated and results-oriented
• Demonstrates strong focus on quality delivery and delighting customers; holds self to high standards of delivery
• Strong team player; able to work effectively within a team and more broadly with people from a variety of backgrounds and areas across the organization
• Ability to work in various time zones
• Ability to work on-call rotation every 4 weeks (for one week)
• Experience integrating AI/ML systems into production SaaS or healthcare platforms