Senior Cloud Security Engineer

Xsolisis an AI-driven technology company reducing administrative waste in healthcare by enabling smarter collaboration between providers and payers. Since 2013, our vision has been to create a frictionless healthcare system.

We are proudly headquartered in Franklin, TN - one of the nation's fastest-growing hubs for healthcare innovation - we are at the heart of a thriving ecosystem of health systems, payers, and technology leaders.

Our flagship product,Dragonfly®, is the first and only AI-driven platform to continuously assign real-time predictive scores for medical necessity. Dragonfly has delivered proven results across 600+hospital, health system, and health plan clients and earned repeated industry recognition.

With recognition on theInc.
5000andDeloitte Technology Fast 500lists,Xsolisis also one of the fastest-growing privately-held companies in the country and across North America, andwe'relooking for talented people to grow with us.

Xsolis is a SaaS healthcare technology company breaking down silos between healthcare payors and providers with its Dragonfly platform that leverages predictive analytics, Machine Learning (ML), and Generative AI. Security, privacy, and trust are foundational for everything we build.

As a Sr. Cloud Security Engineer, you will help lead the design, implementation, and continuous improvement of our cloud security posture. You will play a critical role in securing AI-driven healthcare platforms running in modern cloud environments (AWS), ensuring compliance with healthcare regulations, and protecting sensitive patient data. This role requires deep technical expertise in cloud security, strong experience with regulated environments, and a forward-thinking mindset around securing AI/ML, Generative IA, and emerging Agentic AI systems.

We believe that effective Sr. Cloud Security Engineer needs more than technical know-how. The role also requires several non-technical to be a success at Xsolis including the following skills: motivation, communication, organization, prioritization, problem-solving, and adaptability.

• Design and implement secure cloud architectures across AWS
• Lead the development of security guardrails, policies, and standards (IAM, network segmentation, encryption, etc.)
• Implement Zero Trust architecture principles across cloud-native system sand user endpoints
• Secure containerized and serverless workloads (ECS,Kubernetes, Docker, Lambda, etc.)
• Assess existing cloud implementations, identifyingsecurityissuesand prioritizingthem for remediation.

• Define and enforce security controls for endpoints and resource access
• Implement improvements in identity lifecycle and PAM
• Partner with engineering teams to design and implement a secure VDI environment to support PHI access

• Define and enforce security controls forAI/ML and GenAI applications
• Partner with Data Science to mitigate risks such as model poisoning, prompt injection, data leakage, and adversarial attacks
• Secure Agentic AI systems, including autonomous workflows and decision-making agents
• Collaborate with data science teams to embed security into model development lifecycle (MLSecOps)

• Collaborate with GRC to ensure adherence to healthcare regulations (HIPAA, HITRUST, SOC 2, etc.)
• Conduct risk assessments and threat modeling for cloud and AI systems
• Support audits and compliance initiatives with appropriate controls and documentation

• Implement and tune cloud-native security monitoring and detection (SIEM, CSPM, CWPP)
• Develop automated response and remediation workflows
• Help manage incident response efforts for cloud security events