Clarity Innovations

Clarity Innovations

Senior Principal Platform Engineer

Jessup, MD · Principal

Sponsorship not specified$123k-$322kDetected 12 days ago
PythonGoBashGitPostgreSQLVector DatabasesAWSAzureDockerKubernetesTerraformHelmCI/CDPrometheusGrafanaPlatform EngineeringAPI DevelopmentRESTMachine LearningPyTorchData EngineeringNLPLLMsRAG

About the role

  • The role also requires providing expert recommendations for enterprise AI adoption, specifically in agentic orchestration and spec-driven development.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Requirements

  • Experience with Azure or AWS architecture and Infrastructure as Code (Terraform/Crossplane).
  • Practical experience with modern AI/ML frameworks and tooling such as PyTorch, Hugging Face, LangChain, vLLM, Ray, MLflow, or equivalent open-source ecosystems.
  • Familiarity with MLOps concepts and tooling, including automated model deployment, versioning, evaluation, observability, rollback strategies, and CI/CD integration for AI systems.
  • Working knowledge of vector databases, embedding pipelines, retrieval-augmented generation (RAG), and semantic search architectures.
  • Hands-on experience with ArgoCD or equivalent declarative CD tools.
  • Experience with Service Mesh technologies (e.g., Istio, Cilium ) and CNI plugins.
  • Experience with the Grafana / Prometheus stack or similar.

Nice to have

  • Data Engineering: Experience maintaining data pipelines or high-throughput data infrastructure.
  • Cybersecurity: Background in threat modeling, vulnerability management, or SOC operations.
  • Proficiency in at least one backend or scripting language-ideally Python, Go, or Bash -to drive systems automation.
  • Proficiency with Helm for templating and deploying Kubernetes applications.
  • Preferred Skills & Certifications

Skills

  • Core Requirements

Compensation

  • $123,000 - $322,000

Benefits

  • Bonus Qualifications

Company info

  • first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices.
  • We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
  • We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions.
  • At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued.
  • Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
  • As a Platform Engineering Architect you will focus on operationalizing, securing, and maturing artificial intelligence capabilities by building and maintaining the AI "path-to-prod" and a scalable AI run stack-the AI "plumbing." Your work centers on providing a unified interface for AI model access, integrating foundational and reasoning models, AI agents, and generative AI.
  • include contributing to the K8s-based AI access platform, managing deployment of core AI services, integrating frontier models (e.g., Claude, GPT) and local inference engines (e.g., vLLM) along with designing MLOps pipelines.
  • Professional Experience: 7+ years of combined experience in DevSecOps, Platform Engineering, or SRE.
  • Kubernetes Mastery: Deep expertise in Administration and Development of Kubernetes clusters.
  • Containerization: Advanced knowledge of Docker or equivalent container build tools.
  • Cloud & IaC: Experience with Azure or AWS architecture and Infrastructure as Code (Terraform/Crossplane).
  • Software Development: Proficiency in at least one backend or scripting language-ideally Python, Go, or Bash -to drive systems automation.
  • Core Networking: Solid understanding of OSI Layer 4-7, including VPC/VNET configuration, DNS, Load Balancing, and SSL/TLS management.
  • AI Ecosystem: Practical experience with modern AI/ML frameworks and tooling such as PyTorch, Hugging Face, LangChain, vLLM, Ray, MLflow, or equivalent open-source ecosystems.
  • LLM & AI Infrastructure: Hands-on experience deploying, scaling, and securing AI/ML workloads on Kubernetes, including GPU-enabled clusters, model-serving platforms, and distributed inference/training systems.
  • AI Platform Operations: Experience building internal AI platforms or developer enablement tooling that supports model lifecycle management, experimentation, inference endpoints, and reproducible AI workflows.
  • MLOps & AI Delivery Pipelines: Familiarity with MLOps concepts and tooling, including automated model deployment, versioning, evaluation, observability, rollback strategies, and CI/CD integration for AI systems.
  • Vector & Retrieval Systems: Working knowledge of vector databases, embedding pipelines, retrieval-augmented generation (RAG), and semantic search architectures.
  • AI Security & Governance: Understanding of AI security concerns including model isolation, data handling controls, prompt injection risks, supply-chain security, and governance requirements for sensitive or regulated environments.
  • Primary Technical Focus
  • Heavy emphasis is placed on the GitLab ecosystem and GitOps workflows:
  • GitLab Expert: Mastery of GitLab CI/CD (including Runners, Templates, and Security Scanners).
  • GitOps & Continuous Delivery: Hands-on experience with ArgoCD or equivalent declarative CD tools.
  • Package Management: Proficiency with Helm for templating and deploying Kubernetes applications.
  • Security Compliance: Possession of DoD 8570 certifications (e.g., Security+ or CASP+/SecurityX ).
  • Advanced Networking: Experience with Service Mesh technologies (e.g., Istio, Cilium ) and CNI plugins.
  • Identity & Access: Configuration and management of Keycloak or OIDC/SAML providers.

Equal opportunity

  • We are an equal opportunity employer.
  • equal opportunity employer.
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This listing is sourced directly from Clarity Innovations's careers page and normalized into a canonical job model.