6 days ago
Base Salary
$115k - $235k/yr
Responsibilities
- Lead architecture and implementation of globally scalable, distributed, event-driven systems for network data ingestion and processing.
- Design AI/ML decision systems for anomaly detection, fault diagnosis, capacity forecasting, and automated remediation.
- Develop agent workflows with tool orchestration, state management, retries, checkpointing, safe failure recovery, approval gates, and human escalation.
- Establish security, authorization, validation, rollback, audit, evaluation, and observability controls for production network actions.
- Define standards across APIs, backend services, data pipelines, workflow execution, testing, deployment, and production operations.
- Build fault-tolerant systems with replication, failover, throttling, rate limiting, load shedding, and service-level objectives.
- Design telemetry, dashboards, alerting, performance tests, fault-injection tests, and correctness validation.
- Participate in operational support rotations, incident response, troubleshooting, root-cause investigations, and security remediation.
- Develop automation tools and infrastructure-as-code for cloud infrastructure and change management.
- Coordinate moderately complex initiatives, mentor engineers, collaborate across teams, and participate in candidate interviews.
Requirements
- At least 6 to 10+ years of experience in software engineering, network automation, cloud infrastructure, or a related field, including technical leadership across multiple teams.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- Strong production programming experience in Java and Python.
- Deep experience with distributed systems, APIs, event-driven data pipelines, workflow systems, or cloud-native services.
- Experience defining technical architecture and leading complex projects through production operation.
- Experience with network operations, data center infrastructure, or other large-scale infrastructure systems.
- Experience building and evaluating AI/ML or LLM-based capabilities for operational problems and determining when human review is required.
- Strong knowledge of Linux, software development practices, observability, and production incident response.
- Demonstrated ability to influence senior stakeholders, resolve architectural tradeoffs, and mentor experienced engineers.
- Preferred experience with network telemetry, device connectivity, configuration validation, automated remediation, agentic systems, planner/executor patterns, tool orchestration, MCP, A2A, AI evaluation and governance, Kubernetes, containers, cloud-native platforms, and AI-assisted development tools.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short- and long-term disability, life insurance, AD&D, and supplemental life insurance.
- 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, and paid parental leave.
- Adoption assistance, employee stock purchase plan, financial planning, group legal, and voluntary insurance benefits.
- US-based employees must complete identity verification involving biometric information, with accommodations potentially available under applicable law.
Categories
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.