Job description

Oracle Cloud Infrastructure’s (OCI) Developer Platform Builder Tools organization builds the next generation of developer productivity platforms, intelligent development workflows, and AI-powered engineering tools that accelerate software delivery across the enterprise. We are seeking a Principal Platform Software Engineer to define the architecture and technical direction of 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. As a principal engineer, you will shape the platform from foundational architecture through production deployment and broad adoption across OCI. You will solve ambiguous, organization-wide technical problems, establish engineering standards, and provide technical leadership to senior engineers, product managers, data scientists, and OCI service teams. Key Responsibilities • Define the technical vision, architecture, and multiyear evolution of OCI’s AI-native developer platforms. • Lead the design and delivery of secure, highly available services that operate reliably across large-scale, distributed cloud environments. • Architect systems that analyze service behavior, model traffic patterns, generate realistic workloads, and evaluate functional and non-functional outcomes. • Establish agent-assisted workflows that plan, execute, and evaluate canary, functional, integration, load, and performance tests within clearly defined safety controls. • Guide the application of machine learning and LLM capabilities to service telemetry, API changes, incidents, test results, and engineering knowledge. • Develop architectural approaches for failure diagnosis, regression detection, workload modeling, and the conversion of production incidents into reusable test coverage. • Define platform APIs, data models, extension points, and integration patterns that enable adoption across diverse OCI services and engineering environments. • Set engineering standards for scalability, reliability, observability, security, privacy, performance, and responsible AI. • Define success metrics and feedback loops that measure test effectiveness, traffic-pattern coverage, developer effort saved, platform reliability, and adoption. • Provide hands-on technical leadership, mentor senior engineers, resolve cross-team architectural challenges, and raise engineering standards across the organization. Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • Eight or more years of professional software engineering experience, including significant experience designing and operating large-scale production systems. • Proficiency in one or more modern programming languages, such as Java, Go, Python, or C++. • Deep expertise in distributed systems, system design, APIs, concurrency, data modeling, and scalable service architectures. • Demonstrated success defining architecture and delivering complex platforms, backend services, microservices, event-driven systems, or large-scale data pipelines. • Experience developing and operating cloud-native software using CI/CD, containerization, orchestration, and infrastructure automation. • Strong understanding of service reliability, observability, performance engineering, security, and production operations. • Experience integrating machine learning, generative AI, or other intelligent capabilities into production software systems. • Proven ability to lead high-impact technical initiatives across multiple teams, influence without direct authority, and navigate ambiguous requirements. • Excellent technical judgment and communication skills, including the ability to explain complex architectural decisions to engineering, product, and executive stakeholders. • A track record of mentoring senior engineers and improving engineering practices across teams or organizations. Preferred Qualifications • Experience architecting developer platforms, CI/CD systems, testing infrastructure, or engineering productivity tools at enterprise scale. • Experience developing production solutions using machine learning, generative AI, or LLMs. • Familiarity with AI agents, tool-using models, retrieval-augmented generation, prompt engineering, LLM-as-a-judge approaches, or model evaluation. • Experience with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent technologies. • Experience with traffic replay, workload modeling, canary analysis, load testing, performance testing, or chaos engineering. • Deep experience with Kubernetes, containers, service meshes, and OCI or another major public cloud. • Experience designing extensible, multi-tenant platforms used by multiple engineering organizations. • Experience analyzing API schemas, code changes, service dependencies, production incidents, and traffic patterns. • Familiarity with AI safety controls, model monitoring, privacy, and secure enterprise data handling. Why Join Us • Define the architecture and technical direction of a new AI-native developer platform with broad impact across OCI. • Solve complex, high-ambiguity problems spanning distributed systems, cloud infrastructure, machine learning, and generative AI. • Build capabilities that help thousands of engineers reduce manual testing, detect regressions earlier, diagnose failures faster, and release with greater confidence. • Influence engineering strategy across teams while remaining deeply involved in technical design and implementation. • Work with experienced engineers, data scientists, product managers, and OCI service teams to establish a new standard for intelligent software testing at enterprise scale. #LI-SP1 Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $104,500 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 Architect and build an AI-native testing platform that learns service behavior and generates functional, integration, canary, and load tests. They will develop traffic-generation, test-execution, evaluation, and regression-diagnosis capabilities and integrate them with CI/CD workflows. They will also implement safety controls, observability, and continuous-learning mechanisms to improve test coverage and release confidence.

Requirements

Must-haves

Define the technical vision, architecture, and multiyear evolution of OCI’s AI-native developer platforms.
Lead the design and delivery of secure, highly available services that operate reliably across large-scale, distributed cloud environments.
Architect systems that analyze service behavior, model traffic patterns, generate realistic workloads, and evaluate functional and non-functional outcomes.
Establish agent-assisted workflows that plan, execute, and evaluate canary, functional, integration, load, and performance tests within clearly defined safety controls.
Guide the application of machine learning and LLM capabilities to service telemetry, API changes, incidents, test results, and engineering knowledge.
Develop architectural approaches for failure diagnosis, regression detection, workload modeling, and the conversion of production incidents into reusable test coverage.
Define platform APIs, data models, extension points, and integration patterns that enable adoption across diverse OCI services and engineering environments.
Set engineering standards for scalability, reliability, observability, security, privacy, performance, and responsible AI.
Define success metrics and feedback loops that measure test effectiveness, traffic-pattern coverage, developer effort saved, platform reliability, and adoption.
Provide hands-on technical leadership, mentor senior engineers, resolve cross-team architectural challenges, and raise engineering standards across the organization.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Eight or more years of professional software engineering experience, including significant experience designing and operating large-scale production systems.
Proficiency in one or more modern programming languages, such as Java, Go, Python, or C++.
Deep expertise in distributed systems, system design, APIs, concurrency, data modeling, and scalable service architectures.
Demonstrated success defining architecture and delivering complex platforms, backend services, microservices, event-driven systems, or large-scale data pipelines.

Nice-to-haves

Experience architecting developer platforms, CI/CD systems, testing infrastructure, or engineering productivity tools at enterprise scale.
Experience developing production solutions using machine learning, generative AI, or LLMs.
Familiarity with AI agents, tool-using models, retrieval-augmented generation, prompt engineering, LLM-as-a-judge approaches, or model evaluation.
Experience with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent technologies.
Experience with traffic replay, workload modeling, canary analysis, load testing, performance testing, or chaos engineering.
Deep experience with Kubernetes, containers, service meshes, and OCI or another major public cloud.
Experience designing extensible, multi-tenant platforms used by multiple engineering organizations.
Experience analyzing API schemas, code changes, service dependencies, production incidents, and traffic patterns.
Familiarity with AI safety controls, model monitoring, privacy, and secure enterprise data handling.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningllmapijavagopythonci/cdkubernetes

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave