Senior Platform Software Engineer, AI

Oracle Cloud Infrastructure’s (OCI) Developer Platform Tools and Services organization builds the next generation of developer productivity platforms, intelligent development workflows, and AI-powered engineering tools and platforms that accelerate software delivery across the enterprise.

We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services that improve the developer experience and increase engineering productivity. You will work across platform engineering, distributed systems, cloud-native technologies, machine learning, large language models (LLMs), and developer tooling. A key focus of this role is building a new AI-native testing platform that learns real-world service behavior, generates realistic test traffic, safely validates workloads, and detects regressions with minimal manual test authoring.

Its closed-loop workflow observes changing traffic patterns, executes and evaluates tests, and continuously improves future coverage. You will help take this platform from early architecture through production deployment and enterprise-wide adoption, working with engineers, product managers, data scientists, and OCI service teams.

• Design, build, deploy, and operate highly available platform services for developer productivity and AI-assisted engineering workflows.
• Lead the architecture and delivery of scalable systems that analyze service behavior, model traffic patterns, generate realistic workloads, and evaluate results.
• Develop agent-assisted workflows that plan, execute, and evaluate canary, functional, integration, load, and performance tests within defined safety controls.
• Apply machine learning and LLM capabilities to service telemetry, API changes, incidents, test results, and engineering knowledge.
• Build safe traffic-generation and workload-modeling systems that reflect production usage, service dependencies, and changing traffic patterns.
• Develop evaluation and diagnostic capabilities for functional correctness, latency, error rates, reliability, scalability, and regression detection.
• Provide actionable explanations of failures, including what changed, likely sources of impact, and how to reproduce an issue.
• Automate the conversion of incidents, failed canaries, and detected regressions into reusable test coverage.
• Design APIs, data pipelines, and integrations that make intelligent testing capabilities accessible across OCI engineering teams.
• Establish strong practices for reliability, observability, security, privacy, performance, and responsible AI while mentoring engineers and influencing technical direction.

• 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.
• Demonstrated ability to lead technical initiatives across teams, communicate architectural decisions clearly, and deliver high-quality production software.