Senior Engineer II, Cloud Security
Lilasciences · Cambridge, MA USA · 2026-08-03
About this role
<p><strong>Your Impact at LILA</strong></p> <p>Lila is hiring a Senior Engineer II, Cloud Security to strengthen cloud and SaaS security across our infrastructure, platforms, and AI-enabled systems. This role owns hands-on security work across cloud posture management, detection and response, container and workload security, identity and privileged access, and security automation.</p> <p>This role sits within IT &amp; Security and partners closely with infrastructure, platform, data, DevSecOps, and AI teams. The person in this role will turn cloud and SaaS security findings into prioritized remediation work, build guardrails that reduce risk before deployment, and improve Lila’s ability to detect and respond to threats.</p> <p>The ideal candidate brings deep cloud security experience, strong operational judgment, and the ability to translate technical risk into clear action across engineering and security stakeholders.</p> <p><strong>What You'll Be Building</strong></p> <ul> <li>Own cloud and SaaS security posture management across AWS, IaaS/PaaS, and core SaaS platforms.</li> <li>Configure, operate, and tune CSPM, CNAPP, and SSPM tooling to surface and prioritize risk.</li> <li>Partner with infrastructure and platform teams to drive remediation of cloud, SaaS, and workload findings.</li> <li>Build and tune high-fidelity detections across SIEM, EDR, CSPM, and related security systems.</li> <li>Lead incident response triage, containment, recovery, and post-incident review for cloud security events.</li> <li>Strengthen cloud-native workload and container security across AWS, Kubernetes, hardened AMIs, and network controls.</li> <li>Design policy-as-code and guardrails that prevent insecure deployments without slowing developer velocity.</li> <li>Partner with AI, data, and platform teams to mature security controls for MLOps pipelines and AI-enabled platforms.</li> </ul> <p><strong>What You'll Need to Succeed</strong></p> <ul> <li>Extensive hands-on experience in information security, with deep cloud and SaaS security ownership.</li> <li>Strong AWS security knowledge, including IAM, SCPs, VPC/networking, KMS, CloudTrail, GuardDuty, Security Hub, and Config.</li> <li>Hands-on experience with CSPM or CNAPP tooling such as Wiz or comparable platforms.</li> <li>Experience operating detection and response workflows across SIEM, EDR, CSPM, or related security tooling.</li> <li>Practical incident response experience, including triage, containment, recovery, and post-incident review.</li> <li>Strong understanding of workload, container, and Kubernetes security.</li> <li>Proficiency with scripting and automation using Python, PowerShell, Bash, or similar tools.</li> <li>Experience securing infrastructure-as-code and CI/CD workflows using Terraform, CloudFormation, ARM, OPA, Sentinel, or native cloud policies.</li> <li>Strong grasp of IAM, identity federation, least-privilege access, SaaS permission models, and privileged access management practices.</li> <li>Ability to translate technical findings into business risk and partner cross-functionally with cloud, DevOps, AppSec, and platform teams.</li> </ul> <p><strong>Bonus Points For</strong></p> <ul> <li>Deep experience securing MLOps pipelines, AI-enabled platforms, or AI Security Posture Management practices.</li> <li>Experience with Azure-native security services, including Defender for Cloud.</li> <li>Depth in CWPP, EDR/XDR, SOAR, or DSPM tooling.</li> <li>Experience supporting SOC 2, ISO 27001, HIPAA, FedRAMP, PCI-DSS, or similar compliance programs.</li> <li>Certifications such as CISSP, CCSP, AWS Security, Azure Security, GCIH, GCFA, GCDA, or OSCP.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>Compensation</strong></p> <p>We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.</p> <p><strong>U.S. Benefits.</strong> Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.</p> <p><strong>International Benefits.</strong> Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.</p></div><div class="title">Expected Base Salary Range</div><div class="pay-range"><span>$108,000</span><span class="divider">&mdash;</span><span>$163,333 USD</span></div></div></div><div class="content-conclusion"><p><strong>About LILA</strong></p> <p>Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.</p> <p>LILA combines advanced AI models with proprietary AI Science…
Skills asked for
- aws
- kubernetes
- python
- bash
- ci/cd
- terraform
- devops
- azure
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