As a Senior Software Development Engineer, you will own the design and development of major components that improve the developer experience for software teams building Oracle Cloud Infrastructure. You should be a rock-solid coder and distributed systems generalist who values simplicity, scale, collaboration, and continuous learning. This role also calls for embracing AI-native development to accelerate delivery, improve engineering workflows, and rethink how OCI teams build, test, operate, and evolve software. After onboarding, you will be expected to provide technical leadership to other software developers.
Internal Responsibilities
Key Responsibilities
- Design and implement full-stack services, APIs, tools, and platform capabilities that improve the developer experience for Oracle Cloud Infrastructure software teams.
- Deliver features end to end: requirements clarification, technical design, implementation, automated testing, deployment, and operational support.
- Partner with OCI engineering teams to understand developer pain points and turn them into reliable, scalable internal platform capabilities.
- Participate in code and design reviews; contribute to engineering best practices across testing, CI/CD, observability, security, and operational readiness.
- Diagnose and resolve production issues; participate in on-call and incident response and drive follow-up actions.
- Produce and maintain documentation, runbooks, and operational playbooks.
AI-First Engineering Expectations
- Demonstrate practical experience using AI-assisted techniques and tools to improve developer productivity and software quality, including faster prototyping, stronger test coverage, safer refactoring, better documentation, and improved operational workflows.
- Apply an AI-native engineering mindset to day-to-day work: generating and validating code suggestions, creating and maintaining tests, improving observability and runbooks, and rethinking how software teams build, test, operate, and evolve cloud infrastructure.
- Understand and follow enterprise security and privacy requirements when using AI tooling, including protecting sensitive data and using approved tools and workflows.
Minimum Qualifications
- BS in Computer Science or related field, or equivalent practical experience.
- 5-6+ years of professional software development experience.
- Proficiency in Java and experience building REST and/or gRPC services.
- Experience building full-stack software, including backend services and user-facing tools or web applications.
- Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.
- Working knowledge of data stores, including RDBMS and/or NoSQL systems.
- Experience with modern engineering practices, including source control, code review, automated testing, and CI/CD pipelines.
- Strong troubleshooting and performance tuning skills.
External Responsibilities
Key Responsibilities
- Design and implement full-stack services, APIs, tools, and platform capabilities that improve the developer experience for Oracle Cloud Infrastructure software teams.
- Deliver features end to end: requirements clarification, technical design, implementation, automated testing, deployment, and operational support.
- Partner with OCI engineering teams to understand developer pain points and turn them into reliable, scalable internal platform capabilities.
- Participate in code and design reviews; contribute to engineering best practices across testing, CI/CD, observability, security, and operational readiness.
- Diagnose and resolve production issues; participate in on-call and incident response and drive follow-up actions.
- Produce and maintain documentation, runbooks, and operational playbooks.
AI-First Engineering Expectations
- Demonstrate practical experience using AI-assisted techniques and tools to improve developer productivity and software quality, including faster prototyping, stronger test coverage, safer refactoring, better documentation, and improved operational workflows.
- Apply an AI-native engineering mindset to day-to-day work: generating and validating code suggestions, creating and maintaining tests, improving observability and runbooks, and rethinking how software teams build, test, operate, and evolve cloud infrastructure.
- Understand and follow enterprise security and privacy requirements when using AI tooling, including protecting sensitive data and using approved tools and workflows.
Minimum Qualifications
- BS in Computer Science or related field, or equivalent practical experience.
- 5-6+ years of professional software development experience.
- Proficiency in Java and experience building REST and/or gRPC services.
- Experience building full-stack software, including backend services and user-facing tools or web applications.
- Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.
- Working knowledge of data stores, including RDBMS and/or NoSQL systems.
- Experience with modern engineering practices, including source control, code review, automated testing, and CI/CD pipelines.
- Strong troubleshooting and performance tuning skills.
