3 days ago
Responsibilities
- Own features end to end from requirements and technical design through production code, testing, deployment, and operational readiness.
- Develop control-plane APIs, resource lifecycle workflows, configuration distribution, and reconciliation alongside data-plane proxy behavior, traffic management, protocol handling, and runtime capabilities.
- Design reliable distributed systems addressing concurrency, consistency, retries, idempotency, failure recovery, and backward compatibility.
- Identify and resolve latency, throughput, CPU, memory, connection, and resource-utilization bottlenecks at scale.
- Build and adopt AI-assisted workflows for development, testing, debugging, and operations with appropriate validation.
- Improve observability, automated testing, rollout safety, resilience, and production reliability; participate in on-call rotations, incident response, and root-cause analysis.
- Drive technical decisions, evaluate tradeoffs, document designs, conduct code reviews, collaborate cross-functionally, and mentor engineers.
Requirements
- Strong experience building and operating production software services with ownership of complex features or subsystems.
- Strong coding, debugging, and problem-solving ability in systems or backend languages such as Java, Go, C++, or Rust.
- Strong foundations in data structures, algorithms, concurrency, operating systems, and distributed systems.
- Experience with cloud service control planes, distributed backend services, proxies, or network data planes.
- Understanding of TCP/IP, HTTP, TLS, DNS, connection management, and load balancing.
- Experience designing APIs and reliable workflows involving persistence, asynchronous processing, retries, idempotency, and failure handling.
- Ability to diagnose production issues using logs, metrics, traces, profiling, and systematic analysis.
- Sound judgment regarding security, testing, backward compatibility, deployment safety, and operational reliability.
- Ability to use AI-assisted engineering tools and critically evaluate generated code, designs, and recommendations.
- Bachelor's degree in a relevant field or equivalent practical experience.
- At least 11 years of software development experience, or a qualifying bachelor's degree with 7 years, master's degree with 5 years, or doctorate with 3 years of software development experience.
- At least 3 years of academic or professional cloud-platform experience, 5 years of system-level testing and automation experience, and 4 years delivering and operating large-scale distributed systems.
- Preferred experience includes L7 proxies, API gateways, load balancers, service meshes, ingress platforms, Envoy, NGINX, HAProxy, HTTP/2, HTTP/3, gRPC, WebSockets, routing, certificate management, high-throughput systems, multi-tenant cloud services, Kubernetes, infrastructure automation, AI agents, and mentoring.
Benefits
- Oracle offers competitive benefits including flexible medical, life insurance, and retirement options.
- Employees can participate in volunteer programs and community-giving opportunities.
- The employer provides disability accommodations throughout the employment process.
- Work arrangement and employment duration are not stated.
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.