What You'll Do
Own 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 Infrastructure
Apply 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.
Security
Lead 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 & Leadership
Translate 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
Skills Required
- Proven engineering leader with hands-on depth in DevSecOps and team leadership
- Strong hands-on knowledge of AWS and GCP including compute, networking, IAM, and managed Kubernetes (EKS/GKE)
- Experience managing AI infrastructure: GPU/TPU provisioning, distributed training, model serving platforms (e.g., SageMaker, Vertex AI)
- Deep knowledge of cloud security, infrastructure security, and CI/CD platforms in hybrid/multi-cloud environments
- Proficient in scripting/development: Python, Bash, Go, or Java
- Experience with CI/CD governance: automated testing, SAST/DAST, dependency checks, and secrets detection
- Ability to translate security and engineering requirements into roadmaps and KPIs; strong communication with stakeholders and executives
- Familiarity with AI-assisted security (threat detection, anomaly detection, intelligent vulnerability triage)
- Background in Computer Science, Information Security, or equivalent practical experience
What We Do
SUPPLY CHAINS SIMPLIFIED WITH LOGISTICS AS A SERVICE KlearNow is transforming supply chains with its smart Logistics as a Service (LaaS) platform that connects data, people, processes, and organizations to enable new levels of visibility and productivity that reduce logistics costs and create better customer experiences. KlearNow’s customs clearance and drayage marketplaces on its AI-powered platform ease supply chain bottlenecks by digitizing paper-based transactions and enabling customs brokers and transporters to deliver superior real-time visibility needs of importers, exporters, and freight forwarders. The company is headquartered in the heart of Silicon Valley - Santa Clara, California - with an offshore development and support office in Gurugram, India. To better serve global trade, we expanded into Canada and UK, with plans to expand into other countries next year. Key executives and co-founders include Sam Tyagi, a successful serial entrepreneur (currently the CEO and Chairman of KlearNow), Ulf Sandberg, veteran technology executive, and Rick Tellez, a 20+ year experienced logistics and supply chain expert. We are currently expanding and looking to hire superstars. Come join us!
