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MLOps / DevSecOps Engineer – AI Infrastructure Team - 1658 Job Opening In Kenya, Kenya – Now Hiring In All Media

MLOps / DevSecOps Engineer – AI Infrastructure Team 1658

    Kenya Jobs Expertini Expertini Kenya Jobs Other General Mlops / Devsecops Engineer – Ai Infrastructure Team 1658

Job description

Job Title: MLOps / DevSecOps Engineer – AI Infrastructure Team

Location:
Remote from LATAM | Full-time

Company:

About the Role

We're looking for a hands-on
MLOps / DevSecOps Engineer
to own and automate infrastructure that powers our AI platforms, ensuring robustness, cost-efficiency, and compliance at scale.

You'll work at the intersection of CI/CD, observability, and security, enabling high-throughput pipelines for code, data, model, and prompt deployments in regulated environments.

You'll help build secure, reproducible, and cost-aware AI infrastructure, with advanced control over scalability, rollback strategies, and model performance monitoring.

Key Responsibilities

  • Build reusable Infrastructure as Code (IaC) modules for GPU clusters, distributed storage, and Zero-Trust networks
  • Deploy and operate Kubernetes clusters with GPU-optimized node pools using Cluster Autoscaler or Karpenter
  • Orchestrate multi-stage GitOps pipelines (code, data, model) with ArgoCD or Flux
  • Implement advanced rollout/rollback strategies: shadow testing, canary, blue/green
  • Integrate security scanners into CI/CD: OWASP ZAP, Snyk, Veracode, Trivy with actionable reports
  • Set up observability for model drift, budget burn, SLOs, and hallucination metrics
  • Ensure compliance with SOC 2, ISO 27034, and internal audit requirements
  • Reproduce high-performance compute (HPC) environments via Terraform or AWS CDK

Ideal Candidate

  • Solid background in Cloud DevOps and ML Infrastructure
  • Proven experience with reproducible GPU infrastructure in cloud environments
  • Hands-on expertise in:

  • Infrastructure as Code: Terraform, Pulumi, AWS CDK

  • Kubernetes: EKS, AKS, GKE, Cluster Autoscaler, Karpenter
  • GitOps tools: Argo CD, Flux, GitHub Actions, Azure DevOps, Kustomize
  • Observability: Prometheus, OpenTelemetry, Grafana, Arize AI, FinOps Exporter
  • Security & Compliance: Trivy, Snyk, OWASP ZAP, Veracode, Grype, Kyverno, OPA Gatekeeper

Infrastructure & Environment

  • Remote-first across LATAM (6+ hrs CST/EST overlap)
  • VPN + SSO access via Okta or Azure Active Directory
  • Cloud IDE access or VS Code Dev Containers
  • GitHub Enterprise, Jira, Slack/Teams

Nice to Have

  • Familiarity with tools such as MLflow, LangChain, LangSmith, Ray, DVC, Feast, BentoML
  • Background in budget-aware engineering or FinOps tagging strategies
  • Comfortable with advanced CLI workflows (e.g., Tmux, SSH multiplexing)

Recommended Stack (Expanded)

  • IaC: Terraform, AWS CDK, Pulumi
  • Kubernetes: EKS/AKS/GKE, Cluster Autoscaler, Karpenter
  • CI/CD & GitOps: GitHub Actions, GitLab CI, Argo CD, Flux, Kustomize
  • Monitoring & Logging: Prometheus, Grafana, OpenTelemetry, ELK Stack, Datadog
  • Cloud Providers: AWS, Azure, GCP
  • Security Tools: Trivy, OWASP ZAP, Snyk, Veracode, Grype, Kyverno, OPA Gatekeeper
  • ML Frameworks: PyTorch, TensorFlow
  • Containerization & Automation: Docker, Ansible

Required Skill Profession

Other General


  • Job Details

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