2 months ago
Base Salary
$93k - $210k/yr
Responsibilities
- Design, build, deploy, and operate highly available platform services for developer productivity and AI-assisted engineering workflows.
- Lead architecture and delivery of systems that analyze service behavior, model traffic patterns, generate realistic workloads, and evaluate results.
- Develop agent-assisted canary, functional, integration, load, and performance testing workflows within safety controls.
- Apply machine learning and LLM capabilities to telemetry, API changes, incidents, test results, and engineering knowledge.
- Build traffic-generation and workload-modeling systems reflecting production usage, service dependencies, and changing traffic patterns.
- Develop evaluation and diagnostic capabilities for correctness, latency, error rates, reliability, scalability, and regression detection.
- Provide actionable explanations of failures, including changes, likely impact sources, and reproduction steps.
- Convert incidents, failed canaries, and detected regressions into reusable test coverage.
- Design APIs, data pipelines, and integrations for intelligent testing capabilities across OCI engineering teams.
- Establish practices for reliability, observability, security, privacy, performance, and responsible AI while mentoring engineers and influencing technical direction.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Four or more years of professional software engineering experience building and operating production systems.
- Proficiency in one or more modern programming languages such as Java, Go, Python, or C++.
- Strong knowledge of system design, algorithms, data structures, concurrency, APIs, and scalable architectures.
- Experience building backend services, distributed systems, microservices, event-driven applications, or large-scale data pipelines.
- Experience developing and operating software in cloud environments using CI/CD, containerization, and cloud-native architectures.
- Experience with service testing, reliability, observability, performance engineering, or production operations.
- Ability to troubleshoot complex systems using logs, metrics, traces, telemetry, and production data.
- Ability to lead cross-team technical initiatives, communicate architectural decisions, and deliver production software.
- Preferred experience with developer platforms, CI/CD systems, testing frameworks, or engineering productivity tools.
- Preferred experience with production machine learning, generative AI, LLMs, AI agents, retrieval-augmented generation, prompt engineering, or LLM evaluation.
- Preferred familiarity with PyTorch, TensorFlow, Hugging Face Transformers, traffic replay, workload modeling, canary analysis, load testing, performance testing, chaos engineering, Kubernetes, containers, service meshes, OCI, or another major public cloud.
- Preferred experience analyzing API schemas, code changes, service dependencies, incidents, and production traffic, plus mentoring engineers and influencing architecture.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short-term and long-term disability insurance, life insurance, AD&D, and supplemental life insurance.
- Health care and dependent care Flexible Spending Accounts.
- Pre-tax commuter and parking benefits.
- 401(k) Savings and Investment Plan with company match.
- Paid vacation, 11 paid holidays, and paid sick leave.
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan.
- Financial planning, group legal, and voluntary auto, homeowner, and pet insurance benefits.
Categories
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.