Software Developer 5

Oracle Cloud Infrastructure Observability Engineer Join the team building Oracle Cloud Infrastructure's state of the art observability platform, powering visibility and operational intelligence for both OCI's internal cloud services and customers running mission-critical workloads on OCI. OCI Logging and Monitoring serve as foundational platforms used by OCI engineering teams to operate and troubleshoot hundreds of cloud services while also enabling customers to monitor, analyze, and gain insights into their own applications and infrastructure. This unique position in the Logging team offers the opportunity to build observability solutions that operate at massive scale, serving the demanding needs of OCI's own services as well as a global customer base. Our team tackles some of the industry's most challenging distributed systems problems, including high-throughput log ingestion, large-scale data processing, cost-efficient storage, low-latency query execution, multi-tenant reliability, and operational excellence. If you are passionate about building cloud-native observability platforms that power both the cloud itself and the customers who depend on it, we'd love to talk to you. Responsibilities Lead the design, development, and operation of cloud-scale logging platforms supporting log collection, ingestion, processing, storage, indexing, search, and query. Architect and implement highly scalable, resilient, and cost-efficient logging systems that serve internal OCI services and external customers. Design and optimize distributed systems capable of ingesting, storing, and querying massive volumes of log data with stringent latency, availability, durability, and compliance requirements. Develop scalable storage, indexing, and retrieval solutions for high-volume logs and large-scale log analytics workloads. Build and enhance query, search, and retrieval services that provide fast, reliable, and intuitive access to log data. Drive adoption of next-generation logging storage and query architectures, including optimized storage platforms, query acceleration, and migration from legacy data paths. Collaborate with product management, architects, SREs, security, compliance, and engineering teams to define and deliver next-generation logging capabilities. Identify and resolve performance bottlenecks across the logging stack, including log ingestion, buffering, processing, storage, indexing, retention, aggregation, and query execution. Drive technical strategy and architectural decisions for logging services operating in hyperscale cloud environments. Mentor senior and junior engineers, provide technical leadership, and foster strong engineering practices across the Logging team and broader Observability organization. Partner with OCI service teams to improve log emission, log quality, schema consistency, operational visibility, and customer troubleshooting experiences. Establish and monitor key service health, scalability, performance, availability, durability, and cost-efficiency metrics for logging platforms. Lead troubleshooting and root-cause analysis efforts for complex distributed systems, large-scale log processing pipelines, and production incidents. Drive technical alignment between Logging and adjacent Observability services, including Telemetry and Log Analytics, to support unified customer experiences across logs, metrics, and traces. Stay current with emerging trends, technologies, and best practices in logging, observability, distributed systems, data processing, search, storage, and cloud-native architectures. Minimum Qualifications: B.S, M.S, or Ph.D in Computer Science or equivalent 10+ years of experience in the industry Programming languages: Java, Go, C, C++, Python Experience working with the following: Cloud scale products and services Multi-tenant services Concurrent Programming Open source technologies for development and management Cloud technologies Full product/service development and operations lifecycle Strong communication and analytical skills Able to adapt to fast changing requirements Preferred Qualifications: Experience with designing and developing Observability Solutions (metrics, logs, traces) Experience with Kafka, Lucene, Spark, Parquet, Kubernetes, Terraform Performance, Scalability, Reliability and Recovery of large scale distributed systems Required Skills Cloud Architecture Cloud Engineering Distributed Systems Kafka Kubernetes Multitenant Architecture Object Oriented Design Software Design and Development About Us Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. 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