• Design, build, and maintain robust CI/CD pipelines for modern application and service deployments.

• Champion DevOps best practices to enhance developer velocity, efficiency, and system reliability.

• Lead the setup, integration, and automation of infrastructure using Infrastructure-as-Code tools such as Terraform, Ansible, or equivalent.

• Develop and support AIOps and MLOps pipelines that enable scalable AI/ML deployments, automation, monitoring, and proactive incident response.

• Collaborate closely with engineering, data science, and operations teams to ensure seamless integration, monitoring, and security of cloud-native workloads.

• Implement and advocate for observability, monitoring, alerting, and proactive remediation using industry-leading tools.

• Drive continuous improvement recognizing operational inefficiencies and architecting solutions to address systemic issues.

• Ensure all infrastructure meets Oracle's security, compliance, and governance standards.

• Participate in on-call rotations and contribute to root cause analyses and post-mortems.

• Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.

• 4+ years relevant experience in SRE, DevOps, or Cloud Engineering roles.

• Deep knowledge and hands-on experience with containerization (Kubernetes, Docker) and orchestration in production settings.

• Proficient in scripting and coding (Python, Bash, Go, or similar).

• Experience designing and running CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions, etc.).

• Familiarity with AIOps and MLOps concepts, platforms, and automation frameworks.

• Experience with infrastructure provisioning (Terraform)

• Excellent communication skills and a collaborative mindset

• Prior experience rolling out AIOps/MLOps pipelines at scale.

• Certification in OCI, AWS, GCP, or Azure (any relevant cloud certifications).

Career Level - IC3