Senior Systems Engineer (AI Gateway Platform)

Location: USA - Remote

Base salary: $125,000–$180,000 per year, with eligibility for bonuses, equity grants, and benefits.

Company

CrowdStrike is a cybersecurity company building an AI-native platform that protects modern organizations and processes almost 3 trillion events per day through large-scale distributed systems.

What you will do

• Own, deploy, configure, scale, and secure the enterprise Kong AI Gateway platform for high availability, low latency, and high-throughput AI traffic.
• Enable secure routing and onboarding for MCP servers, tools, agents, internal microservices, upstream LLM services, and external SaaS platforms.
• Design IAM controls for AI workloads, including OAuth 2.0, Okta, non-human identities, secure identity propagation, SSL/TLS, mTLS, and automated certificate rotation.
• Implement traffic shaping, load balancing, circuit breakers, provider failover, semantic caching, AI guardrails, DLP, prompt-injection protection, and PII/secret redaction.
• Build GitOps-driven gateway deployments with YAML, Helm, and reusable GitLab CI/CD pipelines; instrument services with OpenTelemetry and route audit logs to Splunk.
• Collaborate with product, enterprise AI, application engineering, and security stakeholders to deliver iterative platform improvements and custom Kong plugins using Go or Lua when required.

Requirements

• 8+ years of professional engineering experience, including familiarity with full-stack application development and enterprise architecture.
• Experience engineering enterprise-scale platforms handling high-volume traffic and complex multi-system integrations.
• Understanding of API gateway architecture, high-throughput traffic management, secure-by-design operating models, REST APIs, JSON, microservices, and distributed systems.
• Proficiency with modern backend or full-stack languages such as Python, JavaScript/TypeScript, or Go.
• Experience with AI systems or interfaces such as Claude, ChatGPT, or similar.
• Hands-on experience deploying and configuring containerized applications in Kubernetes environments.
• Experience building CI/CD automation with GitLab CI/CD or equivalent tools, plus declarative infrastructure using YAML and Helm.
• Strong IAM background, including OAuth 2.0, OIDC, JWT, mTLS, and identity platforms such as Okta.
• Experience with enterprise observability, monitoring, alerting, service reliability planning, disaster recovery, and tools such as OpenTelemetry and Splunk.
• Experience working in Agile engineering teams, operating autonomously, partnering with security, risk, compliance, infrastructure, and product leaders, and evaluating systems from provider and consumer perspectives.
• Familiarity with Jira, ServiceNow, and Slack for sprint execution, work tracking, incident workflows, and collaboration.
• Proven experience using AI technologies to improve workflows and delivering enterprise platforms that enable user-driven experiences.

Nice to have

• Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
• Experience with Go or Lua for low-latency gateway extensions, or TypeScript/Node.js or Python for MCP services and integration tooling.
• Experience designing volume, feasibility, and automated testing frameworks for scalability, high-throughput traffic, and production-scale architectural validation.
• Experience with security vulnerability management and automated remediation across applications, dependencies, container images, and the software supply chain.

Culture & Benefits

• Full-time remote role for U.S. candidates with flexibility and autonomy.
• Health insurance, 401(k), paid time off, competitive vacation and holidays, and paid parental and adoption leave.
• Market-leading compensation, equity awards, wellness programs, and professional development opportunities.
• Employee networks, geographic neighborhood groups, volunteer opportunities, and office amenities.
• Equal employment opportunity and support for veterans and individuals with disabilities.