6 hours ago
Responsibilities
- Lead the architecture, design, and implementation of scalable services and applications supporting infrastructure planning.
- Build reliable backend services, APIs, data-processing workflows, and integrations.
- Translate ambiguous business and engineering requirements into technical designs and implementation plans.
- Integrate analytical and machine-learning outputs into production applications and planning workflows.
- Design systems for scalability, availability, security, maintainability, and operational efficiency.
- Own software across design, development, testing, deployment, production support, and continuous improvement.
- Establish observability using metrics, logs, traces, dashboards, and automated alerting.
- Diagnose production issues, perform root-cause analysis, and implement durable corrective actions.
- Improve system performance, reliability, and cost efficiency through measurement and engineering analysis.
- Define interfaces and data contracts across software, data, and machine-learning components.
- Collaborate with data scientists, machine-learning engineers, infrastructure experts, domain experts, and product stakeholders.
- Participate in architecture, design, code, and operational-readiness reviews.
- Establish reusable engineering patterns, development standards, and best practices.
- Mentor engineers and communicate technical decisions, tradeoffs, risks, and recommendations to stakeholders.
Requirements
- Bachelor’s or Master’s degree in a relevant technical field or equivalent practical experience, with alternate qualification paths including substantial professional experience or a doctorate.
- At least 8 years of professional software-development experience in the basic qualifications, with the detailed qualifications listing experience alternatives from 3 to 11 years depending on education.
- Significant experience designing and delivering production software systems.
- Strong programming skills in Java, Python, Go, C++, or another modern programming language.
- Strong knowledge of data structures, algorithms, object-oriented design, and software-design principles.
- Experience with distributed systems, backend services, APIs, data-intensive applications, relational or non-relational databases, and SQL.
- Experience developing, testing, deploying, and operating software in Linux and cloud environments.
- Experience troubleshooting complex systems and resolving production issues.
- Ability to lead technical design and execution across multiple components or workstreams and influence technical direction without direct management authority.
- Experience with cloud platforms, testing and automation, and large-scale distributed systems; detailed qualifications specify 3 years of cloud-platform experience, 5 years of system-level testing and automation, and 4 years delivering and operating distributed systems.
- Preferred experience includes cloud infrastructure, networking, capacity planning, workflow orchestration, event-driven systems, batch processing, distributed data processing, machine-learning integration, infrastructure-as-code, automated deployment, configuration management, security, access control, auditability, data governance, and enterprise decision-support systems.
- Preferred experience includes OCI, AWS, Azure, or another major cloud platform, plus the ability to collaborate across teams and mentor engineers.
Benefits
- Competitive benefits including flexible medical, life insurance, and retirement options.
- Volunteer programs supporting employee community involvement.
- Equal employment opportunity and disability accommodation support.
- Work arrangement and contract 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.