DescriptionPosition Summary DetailsXsolis 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.
RequirementsEssential Duties & ResponsibilitiesThe essential functions include, but are not limited to the following:
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
Minimum Qualifications (Knowledge, Skills, and Abilities) Education:- 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.
Experience:- 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.
Supervisory ResponsibilitiesThis role does not have any direct reports and is a single contributor role.
Working Environment and Travel RequirementsWork is typically in a normal office administrative environment involving minimal exposure to physical risks. Position requires little to moderate physical activity. Mostly sedentary work exerting up to 10 pounds of force occasionally or a negligible amount of force to lift, carry, push, pull, or otherwise move objects. Work involves sitting most of the time, but may involve walking or standing for brief periods of time. No significant stooping is usually required.