
201 - 500 employees
Founded 2013
🏥 Healthcare
☁️ SaaS
🤖 Artificial Intelligence
💰 $75M Private Equity Round - Xsolis on 2021-06
Healthcare • SaaS • Artificial Intelligence
Xsolis is an AI-driven healthcare technology company that builds SaaS solutions to improve collaboration between providers and payers and make medical necessity and utilization decisions more objective and efficient. Its proprietary Dragonfly® platform applies real-time predictive analytics, natural language processing, and machine learning to assign continuous medical necessity scores and anticipate level-of-care for every patient, supporting utilization management, denial prevention, and revenue cycle workflows. Headquartered in Franklin, Tennessee, Xsolis emphasizes a human-centered approach and has been recognized on the Inc. 5000 and Deloitte Technology Fast 500 lists.
🔥 16 hours ago
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201 - 500 employees
Founded 2013
🏥 Healthcare
☁️ SaaS
🤖 Artificial Intelligence
💰 $75M Private Equity Round - Xsolis on 2021-06
Healthcare • SaaS • Artificial Intelligence
Xsolis is an AI-driven healthcare technology company that builds SaaS solutions to improve collaboration between providers and payers and make medical necessity and utilization decisions more objective and efficient. Its proprietary Dragonfly® platform applies real-time predictive analytics, natural language processing, and machine learning to assign continuous medical necessity scores and anticipate level-of-care for every patient, supporting utilization management, denial prevention, and revenue cycle workflows. Headquartered in Franklin, Tennessee, Xsolis emphasizes a human-centered approach and has been recognized on the Inc. 5000 and Deloitte Technology Fast 500 lists.
• Design and implement secure cloud architectures across AWS • Lead development of security guardrails, policies, and standards covering IAM, network segmentation, encryption, and related controls • Implement Zero Trust architecture across cloud-native systems and user endpoints • Secure containerized and serverless workloads, including ECS, Kubernetes, Docker, and Lambda • Assess cloud implementations, identify security issues, and prioritize remediation • Define and enforce endpoint, resource-access, identity lifecycle, PAM, AI/ML, and GenAI security controls • Partner with engineering teams to implement a secure VDI environment supporting PHI access • Mitigate AI/ML risks including model poisoning, prompt injection, data leakage, and adversarial attacks • Secure Agentic AI systems and collaborate with data science on MLSecOps • Collaborate with GRC on HIPAA, HITRUST, SOC 2, audits, compliance initiatives, risk assessments, and threat modeling • Implement cloud-native monitoring and detection using SIEM, CSPM, and CWPP • Develop automated response and remediation workflows and help manage cloud security incidents • Integrate security into CI/CD pipelines and infrastructure-as-code using Terraform and CloudFormation • Automate security controls, scanning, and policy enforcement • Mentor engineers and security analysts and promote security best practices • Partner with product, engineering, people operations, enterprise systems, and data science teams • Stay ahead of emerging cloud and AI security threats and collaborate with internal and external teams
• 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 • 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 • Must successfully pass a background check • Must already be authorized to work in the United States on a full-time, permanent basis without current or future sponsorship
• 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
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