[Hiring] Senior Cloud Security Engineer @Xsolis, Inc

Role Description

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 skills including:

• Motivation
• Communication
• Organization
• Prioritization
• Problem-solving
• Adaptability

Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems or working experience required
• Master’s degree in Cybersecurity, Computer Science, or Information Systems degree desirable
• Certifications such as CISSP, CCSP, AWS Security certifications are highly desired

Requirements

• 5+ years of experience in cloud security or cybersecurity engineering
• Strong knowledge of cloud security principles (IAM, networking, encryption, logging, etc.)
• Hands-on experience using and securing AWS services
• Solid understanding of securing containerized environments (Kubernetes, Docker)
• Deep understanding of security in regulated environments (HIPAA, HITRUST, SOC 2)
• Broad experience implementing automation to gain efficiencies
• Experience implementing Zero Trust Architecture
• Proficiency in programming or scripting
• Experience identifying AI security risks and securing AI technologies
• Ability to work and indirectly lead a wide range of professionals and team members

Essential Duties & Responsibilities

• Cloud Security Architecture & Engineering
  • 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 systems and user endpoints
  • Secure containerized and serverless workloads (ECS, Kubernetes, Docker, Lambda, etc.)
  • Assess existing cloud implementations, identifying security issues and prioritizing them for remediation
• Workforce Security
  • 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
• AI/ML & GenAI Security
  • Define and enforce security controls for AI/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)
• Compliance & Risk Management
  • 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
• Detection & Response
  • 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
• DevSecOps & Automation
  • Deep experience with SAST, DAST, SCA, and the use of AI coding tools
  • Familiarity with programming languages (Python, Java, Node.js, C#)
  • Integrate and optimize security in CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation)
  • Automate security controls, scanning, and policy enforcement
  • Partner with engineering teams to shift security left
• Leadership & Collaboration
  • Mentor other engineers, security analysts, and promote security best practices across teams
  • Partner with product, engineering, people operations, enterprise systems, and data science teams
  • Stay ahead of emerging threats in cloud and AI security
  • Collaborate with various teams (internal and external) to meet business objectives and support Xsolis values

Benefits

• Medical/Dental/Vision insurance
• 401K company match
• Flexible Paid Time Off
• Paid parental leave
• HSA/FSA options
• Educational reimbursement program
• Employer-paid EAP & Mental Health services

Company Description

Xsolis is 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.

With recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists, Xsolis is also one of the fastest-growing privately-held companies in the country and across North America.