About the position
We are seeking a hands-on engineer to deploy, automate, govern, and support enterprise API and AI gateway solutions running on Kubernetes. The engineer will establish reusable deployment and security patterns, integrate gateway capabilities with cloud-native platforms, and help development teams follow enterprise gateway, security, deployment, and operational standards.
Responsibilities
• Deploy, configure, and support enterprise API and AI gateway solutions, including Model Context Protocol (MCP) server and tool integrations.
• Build and manage gateway workloads on Kubernetes, including AWS EKS or similar managed Kubernetes platforms.
• Create, maintain, and enhance CI/CD pipelines, Helm charts, Terraform modules, and GitOps-based deployment processes.
• Configure ingress, services, load balancers, TLS certificates, routing, authentication, authorization, rate limits, and gateway policies.
• Define reusable gateway patterns, standards, and deployment templates and guide developers in following API, AI, security, and platform engineering standards.
• Perform design reviews, production troubleshooting, upgrades, monitoring, incident support, root-cause analysis, and operational documentation.
• Collaborate with application, cloud, network, security, architecture, and platform teams to resolve integration and operational issues.
Requirements
• Minimum 8 years of overall experience in DevOps, platform engineering, cloud engineering, Kubernetes engineering, API platform engineering, or related enterprise technology roles.
• Minimum 3 years of hands-on experience with API gateways, ingress gateways, service proxies, or API management technologies, including routing, policy enforcement, traffic management, and production support.
• Minimum 4 years of hands-on Kubernetes experience, including deployments, services, ingress or Gateway API, secrets, ConfigMaps, networking, autoscaling, and troubleshooting.
• Minimum 4 years of DevOps automation experience using Git, CI/CD pipelines, Helm, Terraform, infrastructure-as-code, and automated deployment practices.
• Minimum 3 years of AWS cloud experience, including hands-on work with EKS and related networking, load balancing, IAM, certificate, and observability services.
• Minimum 3 years of experience implementing or supporting API security controls including OAuth 2.0, OIDC, JWT, TLS, mTLS, authentication, authorization, and secure secret/certificate management.
• Minimum 2 years of experience supporting production platforms through monitoring, troubleshooting, incident response, upgrades, design reviews, technical documentation, and developer enablement.
• Degree: Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent relevant work experience.
Nice-to-haves
• 1 year of hands-on exposure to Model Context Protocol (MCP), including MCP servers, clients, tools, authentication, security, and enterprise integration patterns.
• Experience with AI/LLM gateway governance, AI traffic controls, model routing, prompt/response policy enforcement, or MCP server integration.
• Experience with Istio, Envoy, service mesh technologies, or Kubernetes Gateway API implementations.
• Experience with Prometheus, Grafana, Splunk, OpenTelemetry, or similar observability and monitoring tools.
• Experience with Azure API Management (APIM), Azure Kubernetes Service (AKS), or multi-cloud gateway environments.
• Experience establishing reusable platform patterns, engineering standards, and onboarding guidance for application development teams.
Benefits
• participation in medical, dental, and vision insurance
• flexible spending or health savings account
• AD&D insurance
• employee assistance
• participation in a 401k program