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Senior AI/Cloud Engineer @ Oracle

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 Senior AI/Cloud Engineer

Job Description

Technical Expertise



  • Experience: 5+ 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 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


Career Level - IC3

Key Responsibilities


I. Architecture and Deployment



  • Design and architect complex, highly available OCI-based solutions supporting hybrid/multi-cloud strategies.

  • Deploy, monitor, and optimize Oracle Database services, including Autonomous Database (ATP/ADW), Exadata Cloud, and DBCS for OLTP and analytical use cases.

  • Implement zero-trust security models, including Vault/KMS management and granular access controls in compliance with enterprise security standards.


II. Automation and DevOps



  • Build reusable, modular infrastructure using Terraform or OCI Resource Manager.

  • Develop and maintain CI/CD pipelines with Jenkins, GitHub Actions, or equivalent tools to streamline deployment and testing workflows.

  • Automate tasks and orchestration workflows using Python, Bash, and OCI REST APIs to increase operational efficiency.


III. Networking and Observability



  • Design and configure secure network architectures using VCN, DRG, Load Balancers, and Gateways to enable resilient and low-latency connectivity.

  • Implement observability solutions using OCI Monitoring, Prometheus, Grafana, and other tools to ensure reliability and system health.

  • Lead incident response, conduct root cause analysis, and document system improvements for reliability and uptime.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: Site Reliability Engineer
Employement Type: Full time

Contact Details:

Company: Oracle
Location(s): Noida, Gurugram

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Keyskills:   Performance tuning Automation orchestration Networking Analytical OLTP Continuous improvement Operations Python Technical documentation

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