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

Syncreon Consulting; Bethesda (MD); On-site; USD 140,000 - 190,000; Full time

Job summary

Syncreon Consulting seeks a Sr. DevOps Cloud Engineer to lead cloud engineering efforts across AWS and GCP, including AI Platform deployments and automation. You will design and optimize CI/CD pipelines, implement infrastructure-as-code, and drive platform reliability in a regulated environment.

The role requires 10+ years in IT with deep DevOps and cloud experience, strong scripting skills, and the ability to work independently on complex projects.

Qualifications

• 10+ years of IT experience with a focus on DevOps, cloud engineering, systems engineering, or platform engineering.
• Strong hands-on experience 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.
• 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.

Skills

Cloud engineering

DevOps

CI/CD pipelines

Python

Ansible

Automation scripting

AWS

GCP

AI Platform

Kubernetes

Docker

Git/GitHub Actions/Jenkins

FedRAMP/NIST compliance

Tools

Docker

Kubernetes

Git

Jenkins

GitLab CI

GitHub Actions

Ansible

Terraform

Job description

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

• Contract

We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies.

Required Qualifications

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.

All your information will be kept confidential according to EEO guidelines.

Job Location