Oracle
Senior AI/Cloud Engineer
Job Description
Technical Expertise
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
- 3+ years of hands-on experience in cloud infrastructure engineering.
- IaC: Expert-level experience in writing and managing Terraform scripts/modules.
- Automation: Proficient in scripting with Java, Python and Bash.
- Database: Deep understanding of Oracle Database services, performance tuning, and deployment best practices (Autonomous DB, Exadata).
- Networking: Strong understanding of cloud networking (TCP/IP, VCN, routing, NSGs, VPNs, load balancers).
- Security: Solid grasp of cloud security principles, including IAM, encryption, and vault management.
Preferred Qualifications
- Certifications: OCI Certified Architect Professional or equivalent certifications in AWS/Azure.
- Containers: Experience with Kubernetes (OKE) and Docker.
- Data Platforms: Exposure to data services like OCI Data Flow, AI/ML pipelines, or data engineering workflows.
Soft Skills & Leadership
- Proven ability to lead initiatives, take operational ownership, and mentor junior engineers.
- Strong communication skills, with a focus on technical documentation and cross-functional collaboration.
- Demonstrated problem-solving ability in high-impact, production-grade environments.
- A proactive, automation-first mindset with a commitment to continuous improvement and learning.
Why Join Us?
As part of the Data Platform team, you will work at the intersection of cloud infrastructure, data engineering, and AI/ML innovation—helping build scalable systems that support the future of enterprise data products. You’ll have the opportunity to shape architecture decisions, introduce modern DevOps practices, and work alongside talented engineers in a fast-paced, mission-driven environment
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