Sr Software Engineer

Oracle Oracle · Enterprise · Austin, TX +1

This role focuses on building and deploying AI-driven cybersecurity solutions within Oracle Cloud Infrastructure (OCI). It involves processing large volumes of telemetry and security data using GenAI, LLMs, and ML to create intelligent detection and response systems. The role requires strong software engineering skills in distributed systems, microservices, and big data pipelines, with an emphasis on building scalable, low-latency, and highly available cloud systems.

What you'd actually do

  1. Design, develop, test, and deploy well-structured and maintainable code in a distributed systems and/or big data stack.
  2. Implement enhancements and bug fixes, under the guidance of senior engineers.
  3. Collaborate closely with teammates on design reviews, code reviews, testing, and operational support.
  4. Participate in operational monitoring and on-call rotations to gain real-world experience with highly available cloud systems.
  5. Write clear documentation and contribute to runbooks, tools, and test automation for improved team velocity.

Skills

Required

  • BS/MS degree or equivalent in related technical field involving coding or equivalent practical experience with 1+ years of overall experience
  • Experience in building and designing microservices and/or cloud native applications and/or big data pipelines/systems
  • 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#)
  • containers experiences (likes of Docker/Kubernetes)
  • Demonstrated ability to adapt to new technologies and learn quickly.
  • excellent communication skills

Nice to have

  • 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
  • Exposure to at least 1 cloud service provider (AWS/OCI/Azure/GCP etc.)
  • Experience in implementing container monitoring tools like Prometheus/Grafana
  • CI/CD pipelines (Jenkins, GitLab etc.)
  • using/creating build tools (Gradle, Ant, Maven, or similar)

What the JD emphasized

  • US Citizenship required
  • critical and considerate eye for detail

Other signals

  • AI-driven cybersecurity solutions
  • generative AI (GenAI)
  • large language models (LLMs)
  • machine learning (ML)
  • intelligent detection, response, and mitigation systems
  • autonomous, adaptive security capabilities
  • massive data pipelines
  • low latency