Sr. DevOps Cloud Engineer (AWS, GCP, AI Platform) - W2 position - Independents candidates only

Syncreon Consulting•Bethesda, MD

About The Position

We are seeking a Sr. DevOps Cloud Engineer with expertise in AWS and GCP, and experience supporting AI Platform deployments. The ideal candidate will have a strong background in DevOps, cloud engineering, systems engineering, or platform engineering, with a proven ability to design and implement CI/CD processes, automation, and configuration management in enterprise and compliance-driven environments. This role requires the ability to work independently and deliver technical work items with minimal oversight.

Requirements

10+ years of overall IT experience, with significant focus on DevOps, cloud engineering, systems engineering, 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.
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 deploying, configuring, and supporting applications in cloud environments.
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 with source control and DevOps toolchains such as Git, Jenkins, GitLab CI, GitHub Actions, or similar platforms.
Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
Strong troubleshooting, problem-solving, and root cause analysis skills.
Excellent verbal and written communication skills.
Ability to work independently and deliver technical work items with minimal oversight.

Responsibilities

Support and deploy workloads in AWS.
Deploy and support applications and cloud services in GCP.
Design and implement CI/CD processes and tools in enterprise environments.
Automate and script using Ansible and Python.
Deploy, configure, and support applications in cloud environments.
Support AI and ML platform deployments and configuration management, focusing on infrastructure, automation, and operations.
Manage infrastructure automation, configuration management, release engineering, and platform operations.
Work within compliance-driven environments (e.g., FedRAMP, NIST).
Utilize source control and DevOps toolchains (Git, Jenkins, GitLab CI, GitHub Actions, etc.).
Work with containerization and orchestration technologies (Docker, Kubernetes).
Troubleshoot, problem-solve, and perform root cause analysis.
Communicate effectively verbally and in writing.
Work independently and deliver technical work items with minimal oversight.