New
DevOps / Cloud Engineer
Quadrant, Inc. | |
United States, Maryland, Bethesda | |
May 06, 2026 | |
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DevOps / Cloud Engineer Bethesda MD / Hybrid Pay from $140,000/yr MUST : Eligible for Public Trust 10+ years of overall IT Experience with significant focus on DevOps cloud engineering, systems or platform engineering Strong hands-on experience supporting and deploying workloads in AWS Working knowledge or hands-on experience with GCP, including deployment and support of applications and cloud services Strong hands on experience with source control and DevOps toolchains such as Git, Jenkins, GitLab CI, GitHub Actions, or similar platforms Proven experience designing and implementing CI/CD processes and tools in enterprise environments Strong hands-on experience with automation and scripting using Ansible and Python. Experience supporting AI and ML platform deployments and configuration management, focused on infrastructure, automation, and operations rather than application or model development Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations. Experience working in compliance-driven environments, such as FedRAMP, NIST-based environments, or similar regulated frameworks Experience deploying, configuring, and supporting applications in cloud environments Excellent verbal and written communication skills Strong analytical, problem-solving, and documentation skills Bachelor's Degree is preferred DUTIES : Deploy, manage, and troubleshoot applications across AWS and GCP environments Assist in building and operationalizing GCP support capabilities for new and future workloads Support, maintain, and optimize existing AWS cloud workloads and infrastructure Design, implement, and manage CI/CD pipelines for application and infrastructure delivery Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python Implement and support Infrastructure as Code and environment standardization practices Support deployment, configuration, and operational management of AI and ML platforms and supporting infrastructure in cloud environments Automate provisioning, configuration, and lifecycle management for AI-enabled infrastructure and services Collaborate with engineering and platform teams to enable secure, scalable, and compliant environments for AI workloads, without requiring hands-on AI application or model development. Ensure cloud environments and deployment processes align with security and compliance requirements, including regulated frameworks such as FedRAMP or similar Monitor system health, availability, and performance, and proactively resolve operational issues Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures Independently manage assigned work items, priorities, and deliverables with minimal supervision Contribute to platform engineering best practices, cloud governance, and automation strategy Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. "Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act". | |
May 06, 2026