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SRE DevOps Engineer

saxon globalColumbus, OHSenior L5

$60/hr

SRE DevOps Engineer
Location: Columbus, OH / Jersey City, NJ (LOCALS ONLY)
Duration: 6 Months Contract-to-Hire Rate: $60/hr on W2 Experience: 5+ Years Work Authorization: USC, GC & GC EAD only
Job Overview: We are seeking an experienced SRE DevOps Engineer to join our dynamic engineering team. The ideal candidate will have strong hands-on experience with GitOps, Kubernetes, Python-based operations tooling, AWS container services, Infrastructure as Code, and CI/CD automation. The candidate should have a proven ability to design, build, automate, and support scalable and secure platforms while improving system reliability and operational stability.
Key Responsibilities:
  • Design, develop, and implement creative software solutions to solve complex technical and operational problems.
  • Develop secure, high-quality production code and participate in code reviews, debugging, and troubleshooting.
  • Identify recurring operational issues and implement automated remediation to improve system reliability and stability.
  • Evaluate solutions and architectures from vendors, startups, and internal teams to determine integration fit and technical feasibility.
  • Design and develop scalable platforms supporting ML model training, deployment, and monitoring.
  • Build and maintain infrastructure for automated ML pipelines supporting multiple frameworks and architectures.
  • Implement infrastructure and model monitoring and reliability solutions using Prometheus and Grafana.
  • Manage and maintain Infrastructure as Code (IaC) using Terraform.
  • Develop Python-based automation, scripting, and operational tooling.
  • Manage and support Kubernetes-based DevOps environments using Docker, Helm, and GitOps.
  • Design, implement, and maintain CI/CD pipelines using tools such as Jenkins or GitLab CI.Troubleshoot production issues and contribute to continuous improvements in platform performance, reliability, and security.
  • Required Skills & Qualifications 5+ years of experience in DevOps, SRE, Platform Engineering, or a related role.
  • Strong hands-on experience with GitOps and CI/CD pipeline implementation.
  • Strong knowledge of Kubernetes administration and Helm-based deployments.
  • Proficiency in Python for automation, scripting, and operations tooling.
  • Hands-on experience with AWS container services, including:
  • Amazon ECRAmazon ECSAmazon EKSExperience with Terraform and Infrastructure as Code.
  • Strong experience with Docker and Kubernetes.
  • Experience implementing and managing CI/CD pipelines using Jenkins, GitLab CI, or similar tools.
  • Experience with Prometheus and Grafana for monitoring and observability.
  • Strong production support, troubleshooting, analytical, and problem-solving skills.
  • Ability to work effectively in a collaborative engineering environment.
Preferred Qualifications: Experience building and supporting ML/AI platforms and ML pipelines. Experience supporting multiple ML frameworks and deployment architectures. Strong understanding of cloud security, scalability, reliability, and automation best practices. Experience with automated incident remediation and reliability engineering practices.
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