Sr. DevOps Cloud Engineer (AWS, GCP, AI Platform) - W2 position - Independents candidates only
Bethesda, MD, United States On-site
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About the role
Company Description 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. Job Description 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. Regards, Mohammed ilyas, PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com Qualifications Additional Information All your information will be kept confidential according to EEO guidelines.
What you'll bring
- 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.