Software Developer 4
Full Job Posting
Required Qualifications
- BS or MS in Computer Science or a related field, with 8+ years of software engineering experience, including 2+ years on database products or database cloud services
- Experience designing SaaS applications, including provisioning, lifecycle management, deployment orchestration, APIs and metadata
- Hands-on experience with LLMs, agentic frameworks, RAG and AI evaluation etc
- Working knowledge of identity and access management, including OAuth, OIDC and fine-grained authorization
- Experience designing for tenant isolation, failure recovery, observability and performance in cloud services
- Strong programming and REST API design skills
Preferred Qualifications
- Experience with Oracle Database AI capabilities
- Familiarity with Oracle database services and identity domains
- Experience with versioning, dependency tracking, lineage or release management for AI or software assets
- Experience building developer tools, SDKs or user-facing consoles
- Familiarity with MCP, agent interoperability, or observability and tracing for AI applications
- Experience working directly with customers or field teams to shape product direction
- You Have
- Curiosity about AI and a habit of continuous learning
- Comfort with ambiguity and the ability to create structure
- Excellent written and verbal communication
- Strong ownership, accountability and work ethic
Responsibilities
- Design and build the platform control plane, including APIs, resource management, provisioning workflows and deployment orchestration
- Define clear boundaries between platform services and the systems that run customer workloads, including how they exchange configuration, report status and retainownership of their resources and access controls
- Build capabilities for discovering and managing AI assets such as agents, models, prompts and tools, with versioning, dependency tracking, lineage and approval workflows
- Develop application release bundles that preserve tested configurations while adapting resources and permissions to each environment
- Design identity and access patterns for people, applications and AI agents across services, accounts and environments
- Address tenant isolation, failure recovery, observability and performance across cloud deployment models
- Design secure, performant data and access patterns using Oracle Database
- Simplify adoption through clear APIs, actionable diagnostics and integrations with existing developer tools and agent frameworks
- Evaluate AI capabilities hands-on as a user, and turn friction into clear engineering priorities with product management, field teams and customers
- Prototype difficult technical decisions and write production code
- Set technical direction, lead design reviews across team boundaries, mentor engineers, and own implementation quality and operational readiness
- Communicate complex topics clearly to engineering, product and leadership
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