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DevOps / Cloud Engineer

Quadrant, Inc.
United States, Maryland, Bethesda
May 06, 2026
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".

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