Senior DevOps Cloud Engineer

Location: Bethesda, MD
Job Type: Contract
Work Arrangement: 3 days onsite
Interview: In-person interview required

Job Summary

STAFFXPERT LLC is seeking a Senior DevOps Cloud Engineer on behalf of our client in Bethesda, MD to support and enhance existing AWS workloads while helping establish and expand a GCP environment. This role will focus on cloud infrastructure, CI/CD, automation, application deployment, security, compliance, and the infrastructure and operational support of AI/ML platforms.

The ideal candidate is a hands-on cloud and DevOps professional who can independently own technical deliverables and implement secure, reliable, scalable, and compliant solutions across AWS and GCP environments.

Key Responsibilities
  • Support, maintain, optimize, and troubleshoot AWS cloud workloads and infrastructure.
  • Help build and operationalize GCP capabilities for new and future workloads.
  • Design, implement, and manage enterprise CI/CD pipelines for applications and infrastructure.
  • Deploy, configure, manage, and troubleshoot applications across AWS and GCP.
  • Automate infrastructure provisioning, configuration management, and operational processes using Ansible, Python, and Bash.
  • Implement Infrastructure as Code and environment standardization practices.
  • Support deployment and configuration of AI/ML platforms and associated cloud infrastructure, with a focus on infrastructure and operations rather than model development.
  • Automate provisioning and lifecycle management for AI-enabled infrastructure and services.
  • Ensure cloud environments and deployment processes align with security and compliance requirements, including FedRAMP, NIST-based, or similar regulated frameworks.
  • Monitor system health, availability, and performance and proactively resolve operational issues.
  • Apply DevSecOps practices, security hardening, and policy enforcement as appropriate.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures.
  • Collaborate with engineering and platform teams to deliver secure, scalable, and compliant cloud environments.
  • Independently manage assigned priorities, technical work items, and deliverables with minimal supervision.
  • Contribute to cloud governance, platform engineering standards, and automation strategies.
Required Qualifications
  • Strong hands-on experience supporting and deploying workloads in AWS.
  • Working knowledge or hands-on experience with GCP and cloud application deployment.
  • Proven experience designing and implementing enterprise CI/CD processes and pipelines.
  • Strong automation and scripting experience with Ansible and Python.
  • Experience deploying, configuring, and supporting applications in cloud environments.
  • Experience supporting AI/ML infrastructure and platforms from an infrastructure, automation, and operations perspective.
  • Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations.
  • Experience working in compliance-driven environments such as FedRAMP, NIST-based, or similar regulated environments.
  • Experience with Git and DevOps toolchains such as Jenkins, GitLab CI, GitHub Actions, or similar technologies.
  • Knowledge of Docker and Kubernetes.
  • Strong troubleshooting, problem-solving, and root cause analysis skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and manage technical deliverables with minimal oversight.
Preferred Qualifications
  • Experience with Terraform, CloudFormation, CDK, or other Infrastructure as Code technologies.
  • Experience supporting multi-cloud environments.
  • Experience with cloud networking, IAM, secrets management, logging, and observability.
  • Experience with security scanning, policy enforcement, and DevSecOps practices.
  • Experience supporting GPU-based workloads, model hosting environments, MLOps infrastructure, or cloud-native AI services.
  • Familiarity with Amazon SageMaker, Vertex AI, container-based AI platforms, or similar technologies.
  • Experience supporting government, healthcare, or other highly regulated environments.
  • Relevant AWS and/or Google Cloud certifications.
Technical Environment
  • Cloud: AWS, GCP
  • Automation/Scripting: Ansible, Python, Bash
  • CI/CD: Jenkins, GitLab CI, GitHub Actions, or similar
  • Source Control: Git
  • Infrastructure as Code: Terraform, CloudFormation, CDK, GCP deployment tools, or similar
  • Containers: Docker, Kubernetes
  • Security & Compliance: FedRAMP, NIST, security hardening, audit support
  • Monitoring & Observability: Cloud-native and third-party monitoring and logging platforms
Work Arrangement

This is a contract opportunity based in Bethesda, MD, requiring three days onsite per week. An in-person interview is required.


Senior DevOps Cloud Engineer

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