16 days ago
Base Salary
$114k - $306k/yr
Responsibilities
- Own the technical direction and end-to-end delivery of complex initiatives spanning multiple teams.
- Design and build distributed platforms and services for OCI AI workloads, balancing availability, latency, throughput, scalability, resource utilization, and cost.
- Write and review critical production code and develop prototypes to resolve technical uncertainty.
- Establish shared standards for identity, configuration, APIs, client libraries, interoperability, and lifecycle management.
- Build and lead AI-assisted engineering tools and workflows across design, coding, testing, review, debugging, documentation, and operations.
- Validate AI-generated code and recommendations through engineering review, automated testing, and security checks while protecting sensitive information.
- Define testing and release strategies covering functionality, performance, security, resilience, compatibility, and AI capability regression checks.
- Own production readiness and service health through service-level objectives, observability, capacity planning, safe deployments, rollback strategies, and incident response.
- Partner with customers, product teams, and engineering stakeholders to prioritize needs and deliver durable improvements.
- Lead architecture and code reviews, mentor engineers, and influence engineering standards across teams.
- Evaluate emerging technologies through practical experimentation and adopt approaches with measurable customer and engineering value.
Requirements
- Deep distributed systems expertise and hands-on software development experience are required.
- Ability to own complex technical initiatives from architecture and implementation through production operations.
- Experience designing secure, reliable, efficient, and scalable cloud platforms or services.
- Experience establishing shared platform standards, governance, observability frameworks, testing strategies, and release policies.
- Ability to guide technical decisions across teams, resolve complex engineering problems, and mentor engineers.
- Experience applying AI-assisted engineering practices with rigorous validation, automated testing, security checks, and protection of sensitive information.
- Ability to translate ambiguous customer and business needs into production software and durable platform capabilities.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short-term and long-term disability insurance, life insurance, supplemental life insurance, and AD&D coverage.
- 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, 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.
- The role generally accepts applications for at least three calendar days from the posting date or while the posting remains active.
- US-based employees must complete identity verification involving the collection and processing of biometric information, subject to legally permitted accommodations.
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.