Lead strategy and delivery for DevOps, MLOps, and security engineering. Own CI/CD, IaC, container orchestration, AI infrastructure (GPU/TPU, model serving, registries), and cloud security across AWS/GCP. Manage a cross-functional team, define security policies, track KPIs, and drive incident response and automation to balance speed with compliance.
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/CD
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.
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
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Provide technical accounting support for GM Defense programs: analyze contracts and transactions for US GAAP and FAR/CAS compliance, document conclusions, advise stakeholders, support contract pursuits, maintain controls and SOX compliance, assist SAP system configuration and month-end close, and support disclosures and accounting projects.
Top Skills:
ExcelMicrosoft PowerpointMicrosoft WordSAP
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead cross-functional programs ensuring GPU capacity meets demand. Partner with data center, host partners, engineering, and product to plan capacity, resolve vendor issues, translate utilization data into tradeoffs, build project plans, surface risks, and run post-mortems to improve supply, cost, and reliability.
Top Skills:
Capacity PlanningCloudData Center OperationsGpuIaasSaaSSdlc
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Develop, test, and validate Generative AI agents and data pipelines with automated testing and governance controls. Analyze complex problems, produce actionable insights, mentor junior associates, and collaborate with multidisciplinary teams to deliver AI-enabled client solutions while upholding professional standards and documentation.
Top Skills:
Ci/CdData PipelinesGenerative AiLlm Evaluation FrameworksLlmsPower AutomatePrompt EngineeringTest Automation
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
