> Markdown version of [/jobs/ext/3422156-senior-software-engineer-platform-security](https://www.wearedevelopers.com/jobs/ext/3422156-senior-software-engineer-platform-security). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - Platform Security - **Company:** F5 Networks, Inc. - **Location:** Reston, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $60,000.0 - $100,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, C++ (Programming Language), Linux, Distributed Systems, Key Management, Machine Learning, Software Engineering, Systems Integration, SSL Certificate Management, Cloud Platform System, Okta, Large Language Models, Kubernetes, Production Code, Hashicorp, Machine Learning Operations, Golang - **Published:** September 9, 2026 - **Apply:** https://www.jofdav.com/jobs/59628851-senior-software-engineer-platform-security ## About the Role * 6+ years of professional software development experience in C++, Java, or Golang (Golang strongly preferred). * Advanced knowledge of and hands-on experience with Linux. * Advanced, hands-on experience with Kubernetes. * Proven experience building platform security services in at least one of the following domains: authentication, authorization, certificate management, secret management, or key management. * Strong fundamentals in distributed systems, system design, and writing secure, reliable code. * Hands-on experience with AI-assisted development tools (Copilot, Claude, Codex, or similar). * U.S. Citizenship Required: Due to FedRAMP compliance obligations, this role requires the candidate to be a U.S. citizen. Nice to Have * Experience with public cloud platforms such as AWS or GCP. * Hands-on experience with HashiCorp Vault, Keycloak. * Experience contributing to FedRAMP compliance initiatives. * Experience with Integrating AI/ML or LLM capabilities into production (AI agents, RAG, ML-driven detection). * AI security best practices (securing AI/ML pipelines, mitigating prompt injection / model misuse).