Senior Platform Engineer - US Remote

What is PerfectServe? 

PerfectServe offers Best in KLAS clinical communication and physician scheduling solutions and is a Leader in the Gartner Magic Quadrant for Clinical Communication and Collaboration. We have seen an 88% growth rate over the past three years and need strong team members to help us continue to grow! 

PerfectServe’s mission is to accelerate speed to care by optimizing provider schedules and dynamically routing messages to the right person at the right time in any care setting; advancing patient care and clinical workflows. 

By joining PerfectServe, you will have the unique opportunity to come alongside us as we further our vision of putting all of these solutions together to provide optimal patient outcomes and faster patient care interventions. By improving speed to care and cross-continuum communication, we save lives, reduce length of stay, minimize re-admissions, and bring joy back to caregivers.

We have an incredible portfolio of customers, with new ones recognizing the value of our solutions and joining the PerfectServe family every day. 

PerfectServe is seeking a Senior Platform Engineer to drive the design, build, and optimization of our cloud platform capabilities. The ideal candidate brings deep, hands-on experience in containerized infrastructure, especially Kubernetes, along with a strong command of modern cloud technologies, automation practices, and security principles. You’ll also help shape how we leverage AI and AIOps to make our platform smarter, more resilient, and more self-healing.

Serving as a technical anchor on the platform team, you’ll tackle our most complex infrastructure challenges and raise the bar for engineering quality across the organization. Your work will directly support the healthcare community we serve.

Essential Functions

Technical Design & Architecture
Lead the design and planning of cloud-native systems, ensuring they meet business objectives, scalability needs, and security standards. Drive architecture decisions and establish patterns and best practices that the broader engineering team can adopt.

Cloud Implementation & Strategy
Drive the deployment and evolution of cloud-based solutions with a strong focus on AWS services, leveraging modern Infrastructure as Code and automation strategies. Evaluate emerging technologies and recommend adoption where they strengthen the platform.

AI & AIOps Integration
Identify and implement opportunities to apply AI and machine learning to platform operations, including intelligent monitoring, anomaly detection, predictive autoscaling, automated incident triage, and root-cause analysis. Evaluate and integrate AIOps tooling to reduce toil, accelerate mean time to resolution, and move toward self-healing infrastructure.

Optimization & Performance
Continuously tune and improve cloud environments to deliver exceptional performance and reliability for internal teams and external customers. Define and track platform SLIs and SLOs to ensure measurable quality outcomes.

Support, Reliability & Recovery
Develop, document, and maintain robust support, monitoring, and recovery processes for corporate, private, and public cloud systems. Contribute to incident response and drive improvements through blameless post-mortems.

Mentorship & Knowledge Sharing
Elevate the team’s capabilities by mentoring fellow engineers, contributing to code reviews, and sharing expertise through documentation and internal tech talks.

Continuous Learning & Innovation
Proactively stay current with tools, technologies, and best practices, including advances in AI, ML, and AIOps, bringing fresh ideas and innovations to the team and championing initiatives that advance PerfectServe’s platform.

Qualifications

• Extensive hands-on Kubernetes administration experience at scale, including ArgoCD, Helm, and cluster lifecycle management
• Expert-level proficiency with Terraform and Infrastructure as Code frameworks; experience defining reusable IaC patterns and modules
• Advanced understanding of modern SaaS platforms and proven experience architecting and supporting complex, distributed systems
• Deep expertise with AWS, including networking, compute, storage, and security; AWS certifications are a strong plus
• Experience with AIOps practices and tooling, such as ML-driven observability, intelligent alerting, automated remediation, or predictive scaling, is highly valued
• Ability to evaluate, customize, integrate, and secure cloud platforms to improve overall efficiency and developer experience