Sr Platform Engineer; REMOTE

Overview

At Spacelabs Healthcare, you make a difference. Every member of our worldwide team plays an integral role in improving treatment and helping providers deliver exceptional care to their patients. From newborns to centenarians, more than 60 million people benefit each year from the advancements we make in patient monitoring and management, care coordination, and clinical decision support.

Driven by the belief that anyone who seeks care could be a member of our own family, our team is dedicated to solving the greatest challenges the healthcare system currently faces, including the need to enhance the patient experience, improve population health, reduce costs, support care team well‑being and advance health equity. As part of our mission, we take pride in creating services and technologies that are personalized and tailored to support the needs of healthcare providers anywhere in the world.

Because while we may not be at a patient’s bedside, their health is still in our hands. Under minimal supervision, the Platform Engineer works with the Spacelabs Cloud Services division to identify production issues, deploy product updates, and implement real‑time fixes to customer issues. The Sr Platform Engineer partners with clinical experts and Software Engineers to design and operationalize AI‑driven capabilities, leveraging LLMs and cloud‑based machine learning services to enhance telemetry monitoring and other critical systems.

The Sr Platform Engineer is expected to resolve approximately 90% of inbound technical inquiries without escalation to a Level 4 Engineer, participate in an on‑call rotation and perform after‑hours support. Compliance with all company policies, procedures, and guidelines is essential at all times.

• 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 Sage Maker and other AWS AI services.
• Implement monitoring, logging, and cost‑optimization strategies for AI workloads running on Sage Maker, 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, Sage Maker endpoints, embedding generation, and vector retrieval services.
• Effectively manage and assign projects as necessary while lending continuous support to the team with a high amount of availability.
• Respond to system alerts and outages promptly and effectively.
• 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.
• Collaborate with global technical support to identify and resolve production issues.
• Participate in technical meetings with client technical specialists.
• Assist technical agencies with troubleshooting performance issues or system failures.
• Research and resolve cases in the production support queue.
• Provide visibility into business and systems performance metrics to support capacity planning and business reports.
• Analyze information to determine, recommend, and plan the installation of new systems or modification of existing systems.
• Coordinate the definition of processes and standards related to production functions.
• Coordinate the research and troubleshooting of production issues.
• Plan and execute strategic architecture changes.
• Stay current on and evaluate the potential use of new technologies in production.
• Uphold Spacelabs values of Customer Obsession, Ownership Mindset, and Superior Results.
• Uphold the company’s core values of Integrity, Innovation, Accountability, and Teamwork.
• Demonstrate behavior consistent with the Company’s Code of Ethics and Conduct.
• Report quality problems or defects to management for corrective action and to prevent recurrence.
• Perform duties as modified or assigned to meet business needs.

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