Jobs at F5

Design, develop, test, and maintain scalable backend applications, SDKs, and tools for AI Security solutions. Build RESTful APIs and multi-service systems, optimize performance and reliability, troubleshoot production issues, and collaborate with product, QA, frontend, and data science teams. Apply secure coding and modern architecture practices while contributing to cloud-native deployments, testing, and continuous delivery improvements.

The AI Inference Engineer optimizes large language models for various environments, focusing on performance, scalability, and reliability in AI inference serving.

Own global network infrastructure sourcing strategy, including fiber, carrier services, IP transit, peering, interconnects, and colocation. Lead RFPs, negotiations, contracts, supplier performance, capacity planning, and risk management. Translate network forecasts and technical requirements into sourcing roadmaps, budgets, acquisition packages, and delivery plans. Partner with engineering, infrastructure, finance, legal, and operations to support fiber builds, carrier turn-ups, site selection, and service acceptance across global markets.

Operate and scale an AI-security SaaS platform using SRE principles: monitor SLOs, manage incidents and on-call rotation, troubleshoot customer-facing issues, automate via IaC and scripting, collaborate with development teams to improve observability, reliability, and security-as-code.

Design, build, and automate security controls and processes across cloud and enterprise environments. Perform technical assessments, penetration and segmentation testing, threat detection and response, and collaborate with architecture and SRE teams to implement zero-trust, IAM, and security tooling to improve F5's overall security posture.

The AI Inference Engineer optimizes Large Language Models for inference in diverse environments, ensuring high performance and reliability through optimized deployment, hardware acceleration, and scalable architecture.

Lead AI-driven resilience assurance initiatives, utilizing predictive analytics and real-time monitoring to enhance compliance and organizational resilience. Develop autonomous systems for continuous audits and dynamic maturity assessments, translating insights into actionable strategies for stakeholders.

The Senior Data Engineer designs and builds data models and pipelines, ensures data quality and lifecycle management, and collaborates with cross-functional teams.