The Oracle Cloud Infrastructure (OCI) Security and Compliance Platform Engineering organization presents a rare opportunity to contribute to the development of next-generation, AI-driven cybersecurity solutions at cloud scale. This effort centers on ingesting and processing massive volumes of telemetry and security event data across OCI, leveraging advanced techniques including generative AI (GenAI), large language models (LLMs), and machine learning (ML) to build intelligent detection, response, and mitigation systems. The goal is to deliver autonomous, adaptive security capabilities that protect OCI, Oracle, and our global customer base against evolving threat landscapes. Inviting you to build along the high scale, low latency, distributed systems including massive data pipelines and database.

Hands-on and seasoned engineer who can design and drive end to end engineering efforts (incld design, development, test infrastructure, operational excellence)
Resolve complex technical issues and make design decisions to meet the critical requirements of this scalable, highly available, secure multi-tenant enablement of services in cloud.
Mentor and guide junior members in the team on the technological front.
Work closely withall the stakeholders including the Other technical Leads, Director, Engineering manager,architects, product, and program managers to deliver product features on time and with high quality.
Proactively identify and resolve risks and issues that may dent the team's ability to execute.
Work with various external (application) teams integration with the product and help guide the integration.
Understand various Cloud technologies in Oracle to help evolve the cloud provisioning and enablement process on a continuous basis.

Must-have Skills

BS/MS degree or equivalent in related technical field involving coding or equivalent practical experience with 5+ years of overall experience
Experience in building and designing microservices and/or cloud native applications.
Either strong on databases front or on building big data systems (including ETL pipelines)
Being aproblem solver with strong can-do attitude and ability to think on the go would be critical for success on this role.
Strong fundamentals on OS, networks, distributed systems, designing fault tolerant and high available systems.
Strong on at least one of the modern programming languages (Java, Kotlin, Python, C#) along with containers experiences (likes of Docker/Kubernetes).Demonstrated ability to adapt to new technologies and learn quickly.
Must be detail-oriented (critical and considerate eye for detail), task-driven and have excellent communication skills.
Be organized and goal-focused, ability to deliver in a fast-paced environment with minimal supervision. Strong, creative problem-solving skills and ability to abstract and share details to create meaningful articulation.

Preferred Skills or Nice-to-have Skills

Experience with Architectural patterns for High Availability, Performance, Scale Out architecture, Disaster Recovery, Security Architecture Knowledge of cloud-based architectures, deployment and operational aspects of cloud set up is a plus.
Exposure to at least 1 cloud service provider (AWS/OCI/Azure/GCP etc.) would be a good advantage
Experience in implementing container monitoring tools like Prometheus/Grafana, CI/CD pipelines (Jenkins, GitLab etc.), using/creating build tools (Gradle, Ant, Maven, or similar)

Career Level - IC3

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