Senior Cloud Security Engineer

Xsolis is a SaaS healthcare technology company that connects healthcare payors and providers through its Dragonfly platform. The Senior Cloud Security Engineer will lead the design, implementation, and continuous improvement of cloud security for AI-driven healthcare systems, protecting sensitive patient data and supporting regulatory compliance. The role also secures AI/ML systems, develops security automation, and partners with teams across the organization.

Responsibilities:

• 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
• 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 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)
• 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
• 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
• 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

Requirements:

• the following skills: motivation, communication, organization, prioritization, problem-solving, and adaptability
• Bachelor's degree in Cybersecurity, Computer Science, Information Systems or working experience required
• 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
• Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship
• Master's degree in Cybersecurity, Computer Science, or Information Systems degree desirable
• Certifications such as CISSP, CCSP, AWS Security certifications are highly desired