Ensure secure integrations, appropriate access controls, and production readiness.
Guide cross-team technical decisions, resolve dependencies, and mentor engineers in DevOps, automation, and emerging technologies.
Measure improvements in reliability, recovery time, deployment quality, resource efficiency, and engineering productivity.
Minimum Qualifications and Experience
Bachelor’s or master’s degree in Computer Science or a related field, or equivalent practical experience.
Extensive hands-on experience in DevOps, SRE, platform engineering, or infrastructure automation, including leadership of complex production initiatives.
Experience building and operating scalable, cloud-native distributed systems, with an understanding of end-to-end configuration, technical dependencies, and production service behavior.
Strong Python and Shell skills, with experience building maintainable automation frameworks and operational tools.
Experience with Git, code reviews, CI/CD pipelines, automated testing, and release management.
Experience with infrastructure as code, configuration management, and safe production deployment practices.
Strong understanding of Linux, cloud infrastructure, REST APIs, JSON, authentication, and authorization.
Practical knowledge of Oracle Database, SQL, and database lifecycle operations.
Strong troubleshooting skills across applications, databases, infrastructure, and dependent services.
Ability to collaborate across functions and distributed teams, influence technical direction, and mentor engineers.
Ability to communicate technical ideas clearly through discussions, design documents, technical proposals, diagrams, and presentations.
Interest in applying AI to operational challenges and the ability to evaluate and adopt new technologies.
Preferred Experience
Experience with OCI or similar cloud platforms, including networking, identity and access management, APIs, and automation.
OCI DevOps, Jenkins, GitLab CI/CD, GitHub Actions, or equivalent platforms.
Terraform, Ansible, or comparable infrastructure and configuration automation tools.
Building or integrating AI-powered tools and agents to automate workflows, support troubleshooting, and improve engineering productivity.
Oracle APEX, PL/SQL, ORDS, or equivalent technologies for dashboards and self-service applications.
Database lifecycle operations—including provisioning, backup and restore, cloning, data masking, performance tuning, monitoring, and Oracle Data Guard—across Autonomous Database and ExaCS, as applicable.
Exadata, RAC, ASM, high availability, and disaster recovery.
Monitoring, logging, alerting, capacity management, and automated remediation.
Experience with OCI KMS and database encryption key management.
Experience with database migrations and migration technologies across on-premises and cloud platforms, including migrations to OCI cloud environment
Core Skills
DevOps, SRE, and production troubleshooting
Python, Shell, and automation frameworks
Oracle Database administration, Autonomous Database, ExaCS, and lifecycle operations
Git, CI/CD, and infrastructure as code
Cloud platforms, networking, REST APIs, and service integration
AI-powered tools, observability, and self-service automation
Database migration tools
Technical leadership and mentoring
