Description:

The Oracle Cloud Infrastructure (OCI) Security and Compliance Platform Engineering organization is looking for a Software Developer 3 to design and build the next generation of AI-driven cybersecurity solutions at a global cloud scale. In this role, you will work on highly scalable, low-latency distributed systems that ingest and process massive volumes of telemetry and security events across OCI. You will be responsible for building cloud-native microservices, designing large-scale data pipelines, and implementing autonomous security platforms using Generative AI (GenAI), Large Language Models (LLMs), and Model Context Protocol (MCP) integrations to mitigate cyber threats in real time.

Key Technical Skills:

Oracle Cloud Infrastructure (OCI), AWS, Azure, GCP, Java, Kotlin, Python, C#, Model Context Protocol (MCP), OCI Generative AI, LLMs, AI Agents, Big Data, ETL Pipelines, Distributed Systems, Docker, Kubernetes, CI/CD, Microservices, System Design

Requirements:

• BS/MS in Computer Science, Engineering, or a related technical field with 3 to 5+ years of production-level software engineering experience.
• At least 3+ years of hands-on experience architecting, deploying, and operating public cloud systems (preferably OCI, AWS, Azure, or GCP).
• Direct experience building AI-powered applications, engineering AI agents, handling MCP integrations, or working with intelligent automation workflows and LLMs.
• Strong experience working with big data technologies, distributed data platforms, large-scale processing systems, or backend ETL pipelines.
• High proficiency in at least one modern language such as Java, Kotlin, Python, or C#, backed by exceptionally strong data structures and software design fundamentals.
• Practical experience managing microservices architectures using Docker and Kubernetes.
• Outstanding communication and stakeholder management skills, an analytical problem-solving mindset, and a strong ownership attitude.
• Exposure to observability tools (Prometheus, Grafana), CI/CD setups (Jenkins, GitLab), vector databases, RAG architectures, or MLOps practices.