KlearNow is building AI-native technology that transforms how global trade moves. In this role you will lead the strategy and delivery of DevOps MLOps and security engineering — protecting our infrastructure software supply chain and AI systems while enabling the team to ship with speed and confidence. You will manage a cross-functional team of security and DevOps engineers partner closely with Product and Engineering leadership and embed a security-first culture across everything we build. ➡ What You'll Do ➡ DevOps & CI/CDOwn the design and governance of CI/CD pipelines — including automated testing SAST/DAST scanning dependency checks and secrets detection. Lead infrastructure-as-code and container orchestration practices and drive automation initiatives that reduce manual effort and improve consistency at scale. MLOps & AI InfrastructureApply engineering rigor to ML training pipelines model serving infrastructure and data supply chains. Design and manage the AI infrastructure layer — including GPU/compute resource provisioning model registry operations experiment tracking and inference scaling — across AWS and GCP. Ensure AI systems are built deployed and monitored to the same reliability and security standards as core product services. SecurityLead end-to-end security across cloud infrastructure and product — spanning cloud posture management API protection runtime security network segmentation and secrets management across AWS and GCP environments. Define and enforce security policies standards and best practices that balance delivery speed with a strong compliance posture. Anticipate operational risks drive preventative measures and lead rapid incident response across environments. Strategy & LeadershipTranslate security and engineering requirements into actionable roadmaps. Define and track KPIs that demonstrate delivery effectiveness and inform prioritization. Act as a trusted security advisor to engineering squads and leadership alike. What We Are Looking For ➡ A proven engineering leader with hands-on depth in DevSecOps capable of growing and inspiring a high-performing team Strong hands-on knowledge of AWS and GCP — including compute networking IAM managed Kubernetes (EKS/GKE) cloud-native security tooling and cost-efficient resource management across both platforms Deep experience managing AI infrastructure — GPU/TPU provisioning distributed training environments model serving platforms (e.g. SageMaker Vertex AI) and inference optimization at scale Strong knowledge of cloud security infrastructure security and modern CI/CD platforms across hybrid multi-cloud environments Proficient in scripting and development — Python Bash Go or Java A confident communicator who can translate priorities clearly across developers stakeholders and executives Familiarity with AI-assisted security — threat detection anomaly detection intelligent vulnerability triage — is a strong advantage Background in Computer Science Information Security or equivalent practical experience ➡