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Sr. Principal Platform Engineer

9 hours, 35 minutes ago
United States
Lead
Platform Engineer
DevOps and Infrastructure
Argo CD AWS Azure Bash DevSecOps DNS Docker Go Grafana Helm Hugging Face Kubernetes Load Balancing MLflow MLOps MySQL OpenID Connect PostgreSQL Prometheus Python PyTorch REST API SAML Terraform
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Clarity Innovations

Clarity Innovations

Clarity Innovations designs, develops, and deploys force-enhancing software that connects human ingenuity with advanced computing to improve safety and effectiveness in various sectors.

Internet Software & Services
51-250
Founded 2013
View All Jobs 3

Description

  • Build and maintain the AI path-to-production and scalable AI run stack for enterprise AI workloads.
  • Provide a unified interface for accessing AI models, agents, and generative AI services.
  • Contribute to the Kubernetes-based AI access platform and manage deployment of core AI services.
  • Integrate frontier models and local inference engines such as Claude, GPT, and vLLM.
  • Design and support MLOps pipelines for model lifecycle management, experimentation, inference, and reproducible workflows.
  • Recommend enterprise AI adoption approaches, especially around agentic orchestration and spec-driven development.
  • Deploy, scale, and secure AI and ML workloads on Kubernetes, including GPU-enabled clusters and distributed inference/training systems.
  • Build internal AI platform tooling that enables development teams and supports CI/CD integration, observability, and rollback strategies.
  • Work with GitLab CI/CD, GitOps workflows, ArgoCD, and Helm to support continuous delivery of platform components.
  • Apply security and governance practices for sensitive AI environments, including model isolation, data handling controls, and supply-chain protections.

Requirements

  • 7+ years of combined experience in DevSecOps, Platform Engineering, or SRE.
  • Deep expertise in Kubernetes administration and development.
  • Advanced knowledge of Docker or equivalent container build tools.
  • Experience with Azure or AWS architecture and Infrastructure as Code tools such as Terraform or Crossplane.
  • Proficiency in at least one backend or scripting language, ideally Python, Go, or Bash.
  • Solid understanding of OSI Layer 4–7 networking, including VPC/VNET configuration, DNS, load balancing, and SSL/TLS management.
  • Practical experience with modern AI/ML frameworks and tooling such as PyTorch, Hugging Face, LangChain, vLLM, Ray, and MLflow.
  • Hands-on experience deploying AI/ML workloads on Kubernetes, including GPU-enabled clusters, model-serving platforms, and distributed inference/training systems.
  • Experience building internal AI platforms or developer enablement tooling for model lifecycle management and reproducible workflows.
  • Familiarity with MLOps concepts including automated deployment, versioning, evaluation, observability, rollback, and CI/CD integration.
  • Working knowledge of vector databases, embedding pipelines, retrieval-augmented generation (RAG), and semantic search architectures.
  • Understanding of AI security and governance concerns such as model isolation, prompt injection risks, data controls, and supply-chain security.
  • Mastery of GitLab CI/CD, including Runners, Templates, and Security Scanners.
  • Hands-on experience with ArgoCD or similar declarative CD tools.
  • Proficiency with Helm for templating and deploying Kubernetes applications.
  • DoD 8570 certification such as Security+ or CASP+/SecurityX is preferred.
  • Experience with service mesh technologies such as Istio or Cilium and CNI plugins is preferred.
  • Experience configuring and managing Keycloak or OIDC/SAML providers is preferred.
  • Experience with the Grafana and Prometheus stack or similar observability tools is preferred.
  • Functional knowledge of PostgreSQL and MySQL is preferred.
  • Experience maintaining data pipelines or high-throughput data infrastructure is a bonus.
  • Background in threat modeling, vulnerability management, or SOC operations is a bonus.
  • Experience designing or maintaining RESTful or RPC APIs is a bonus.

Benefits

  • Salary range of $153,000 to $375,000.
  • Equal opportunity employment with fair consideration for all qualified applicants.

Interested in this position?

Apply directly on the company website

Apply Now

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