Gridiron IT Solutions

Gridiron IT Solutions

Senior Cloud AI Engineer

Washington, District of Columbia, USA · Senior · Part-time

No sponsorship$180k-$250kDetected 69 days ago
PythonGitAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDGitHub ActionsDevOpsPlatform EngineeringMachine LearningTensorFlowPyTorchData EngineeringLLMsRAGMLOpsCybersecuritySystems Engineering

About the role

  • Engineer reliability, scalability, and performance through automation, monitoring, and operational best practices.
  • Produce technical documentation and evidence artifacts supporting authorization to operate (ATO) and continuous monitoring.

Responsibilities

  • Cloud & Platform Engineering (AI-Ready Foundations) Design, implement, and maintain cloud infrastructure and platform services (AWS, Azure, or Google Cloud Platform) that support AI/ML workloads in secure federal environments.
  • Build and manage Infrastructure-as-Code (IaC) and automated configuration for repeatable environments using tools such as Terraform or native cloud templates.
  • Develop and maintain CI/CD pipelines enabling automated build, test, and deployment of cloud and AI services.
  • Implement containerized and orchestrated runtime environments for AI services using Docker and Kubernetes/OpenShift.
  • Design and operate production-grade MLOps pipelines for model training, testing, deployment, versioning, and rollback.
  • Support responsible AI practices, governance, and lifecycle management.
  • Security, Compliance, and Federal Delivery Partner with cybersecurity and compliance teams to implement security controls and support federal accreditation processes.
  • Implement secure identity and access management, logging, and auditability aligned with federal standards.
  • Lead technical solutioning efforts and mentor junior engineers.
  • Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States.

Requirements

  • 8+ years of experience in cloud engineering, DevOps, platform engineering, or systems engineering, with senior-level responsibility.
  • 3+ years of hands-on experience delivering AI/ML solutions and operating MLOps pipelines in production.
  • Strong experience with at least one major cloud provider (AWS, Azure, or Google Cloud Platform).
  • Hands-on experience with CI/CD automation, Infrastructure-as-Code, and DevSecOps practices.
  • Proficiency with container technologies (Docker) and orchestration platforms (Kubernetes or OpenShift).
  • Experience implementing logging, monitoring, alerting, and audit controls in regulated environments.

Nice to have

  • Experience supporting federal or highly regulated cloud environments (e.g., GovCloud, classified or restricted partitions).
  • Familiarity with federal cybersecurity frameworks and compliance activities.
  • Experience modernizing legacy systems into cloud-native, AI-enabled architectures.
  • active clearance may be required depending on the program.
  • Certifications (Preferred) Cloud certifications (AWS, Azure, or Google Cloud Platform).
  • Security baseline certifications may be required on some programs.
  • Gridiron IT Solutions is an Equal Opportunity Employer.
  • Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies.

Skills

  • Integrate AI capabilities with enterprise systems, APIs, and cloud-native data pipelines.

Compensation

  • $180,000 - $250,000/yr (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs.

Benefits

  • Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees.
  • Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron s benefits programs.
  • AI / ML Engineering & MLOps Develop and deploy AI/ML solutions, including traditional machine learning and generative AI use cases.
  • Implement monitoring for model performance, drift, bias, and operational health.

Equal opportunity

  • Equal Opportunity Employer.

Visa & Work Authorization

  • Clearance / Work Environment Ability to obtain and maintain a federal security clearance; active clearance may be required depending on the program

This listing is sourced directly from Gridiron IT Solutions's careers page and normalized into a canonical job model.