Sr. Systems Engineer – AI Gateway Platform(Remote)
CrowdStrike1 day ago
Base Salary
$125k - $180k/yr
Responsibilities
- Deploy, configure, maintain, and scale the enterprise Kong AI Gateway platform for high availability, low latency, and high-throughput AI traffic.
- Configure secure routing for MCP servers, tools, agents, internal microservices, external SaaS platforms, and upstream LLM services.
- Provision gateway routes, credentials, and access policies to streamline onboarding for internal consumer applications.
- Design and implement IAM controls for AI workloads, including OAuth 2.0, Okta integrations, non-human identities, and secure identity propagation.
- Manage SSL/TLS certificates, mTLS configurations, automated renewal, and certificate rotation.
- Enforce AI security guardrails, policy controls, DLP, prompt injection protection, PII and secret redaction, and prompt/response filtering.
- Implement traffic shaping, load balancing, circuit breakers, provider failover, and semantic caching to improve resilience, latency, and token cost efficiency.
- Build declarative YAML and Helm infrastructure configurations and reusable GitLab CI/CD pipelines for GitOps-driven deployments.
- Instrument gateway operations with OpenTelemetry and route structured audit logs to Splunk for usage, latency, and control-effectiveness metrics.
- Use built-in Kong plugins and develop custom Go or Lua plugins for routing, context injection, and governance requirements.
- Identify operational improvements, remove platform bottlenecks, and collaborate with product, engineering, security, infrastructure, risk, compliance, and AI teams.
Requirements
- 8+ years of professional engineering experience.
- Experience supporting and engineering enterprise-scale platforms with high-volume traffic and complex multi-system integrations.
- Understanding of API gateway architecture, high-throughput traffic management, enterprise architecture, and secure-by-design operating models.
- Experience with full-stack or backend development and modern languages such as Python, JavaScript/TypeScript, or Go.
- Experience with AI systems and interfaces such as Claude, ChatGPT, or similar.
- Hands-on experience deploying and configuring containerized applications in Kubernetes environments.
- Experience building CI/CD automation pipelines and reusable templates with GitLab CI/CD or equivalent tools, along with YAML and Helm infrastructure configurations.
- Understanding of RESTful APIs, JSON, microservices architectures, and distributed systems design.
- Strong IAM experience with OAuth 2.0, OIDC, JWT, mTLS, and identity platforms such as Okta.
- Experience with enterprise observability, monitoring, alerting, OpenTelemetry, and Splunk.
- Experience with service reliability planning and disaster recovery execution.
- Experience working in Agile engineering teams and delivering autonomously in fast-paced environments.
- Familiarity with Jira, ServiceNow, and Slack for sprint execution, work tracking, incident workflows, and communication.
- Ability to evaluate systems from service-provider and consumer perspectives and partner with security, risk, compliance, infrastructure, and product leaders.
- Experience using AI technologies to improve workflows and enterprise platform delivery.
- Preferred: master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Preferred: experience with Go, Lua, TypeScript/Node.js, or Python for gateway extensions, MCP services, and integration tooling.
- Preferred: experience designing volume, feasibility, and automated testing frameworks for production-scale systems.
- Preferred: experience with vulnerability management, dependency and container-image remediation, compliance, and software supply-chain security.
Benefits
- Market-leading compensation and equity awards.
- Comprehensive physical and mental wellness programs.
- Competitive vacation and holidays.
- Paid parental and adoption leave.
- Professional development opportunities for employees at all levels and in all roles.
- Employee networks, geographic neighborhood groups, and volunteer opportunities.
- Vibrant office culture with world-class amenities.
- Great Place to Work Certified across the globe.
- Remote position, as indicated by the job title and #LI-Remote designation.
Tech Stack
Categories
About CrowdStrike
CrowdStrike builds the Falcon cloud-native security platform used by enterprises and governments to protect endpoints, cloud workloads, identities, and data with EDR, next-generation antivirus, threat intelligence, and managed threat hunting. Founded in 2011 and publicly traded on NASDAQ as CRWD, the company sells primarily by subscription and also provides incident response services; its systems ingest and analyze nearly 3 trillion security events per day across customer environments.