We are seeking a Senior Software Engineer to build capabilities for Oracle’s AI-powered Development Experience organization. You will develop tools, services, and workflows that enable developers and agents to complete engineering work effectively, with relevant context, reliable execution, and useful feedback.
 

In this hands-on individual contributor role, you will own well-defined components and features from design through implementation, testing, and operation. You will apply AI-native development practices, including spec-driven development, agent loops, and workflow graphs, and help turn promising approaches into dependable software.
 

You will work with senior technical leaders, product partners, and internal customers to clarify requirements, make sound implementation decisions, and deliver incremental improvements. Success requires strong software engineering fundamentals, practical experience with AI-assisted development, and the ability to work independently within an agreed scope while seeking guidance on broader architectural decisions.

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: $92,500 to $209,500 per annum. May be eligible for bonus and equity.


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.
As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.
Build AI enablement capabilities
 

• Design, implement, test, and operate components that support AI-native development, such as tool integrations, context delivery, reusable skills, evaluation tooling, and agent execution.

• Translate requirements into maintainable software with clear interfaces and appropriate error handling.

• Integrate capabilities into developer tools and workflows, using established platform patterns and security controls.

• Contribute to design discussions and explain implementation tradeoffs within your area of responsibility.

Apply AI-native engineering practices
 

• Use specifications and executable acceptance criteria to guide development and validate results.

• Build agent loops that use tools and feedback to complete bounded engineering tasks, with clear completion criteria and execution limits.

• Implement workflow graphs with branching, state management, retries, and human review where needed.

• Maintain prompts, skills, context configurations, and evaluations alongside code as versioned engineering assets.

• Use coding agents effectively in your own work and take responsibility for the correctness and maintainability of the resulting software.

Own features through delivery
 

• Clarify requirements, identify dependencies, and break assigned work into achievable increments.

• Independently resolve technical problems within your component or feature, raising broader design questions and delivery risks early.

• Work with partner teams to resolve integration issues and deliver features that function within the wider platform.

• Follow through on deployment, documentation, and operational readiness.

Validate quality and improve reliability
 

• Develop tests and evaluations that assess software behavior and agent task completion against defined acceptance criteria.

• Use logs, execution traces, and reproducible examples to diagnose failures across code, context, tool use, and orchestration.

• Implement appropriate permissions, input handling, execution limits, and action traceability using established controls.

• Monitor the health and performance of your components and address defects and operational issues.

• Assess whether changes improve outcomes without increasing correction effort, latency, or cost unreasonably.

Collaborate and support adoption
 

• Work with developers and internal customers to understand how your features perform in real workflows.

• Participate in code and design reviews, incorporating feedback and providing constructive input to peers.

• Write documentation, examples, and onboarding guidance that help others use the capabilities you build.

• Share lessons from experiments and delivery, and help teammates adopt effective AI-native development practices.

Required qualifications
 

• Professional experience developing and delivering production software, with strong programming, debugging, and testing skills.

• Ability to own a component or feature through design, implementation, deployment, and maintenance.

• Practical experience using coding agents or building applications with large language models, including validating generated results.

• Familiarity with AI-native development practices such as spec-driven development, tool-using agent loops, or workflow graphs.

• Experience integrating APIs and services and diagnosing failures across system boundaries.

• Understanding of secure software development, access controls, observability, and reliable error handling.

• Ability to clarify incomplete requirements, make implementation decisions, and recognize when broader guidance is needed.

• Clear communication skills and effective collaboration with engineers and partner teams.

Preferred qualifications
 

• Experience building developer tools, automation, or internal platform services.

• Experience with agent harnesses, MCP integrations, context retrieval, or reusable skills.

• Experience implementing stateful workflows, asynchronous execution, retries, or recovery.

• Experience creating evaluations for AI workflows and measuring correctness, task completion, latency, and cost.

• Familiarity with source control, CI/CD, development environments, and code review workflows.

• Familiarity with OCI or comparable cloud infrastructure.