DevOps Engineer

About FlowGenX AI

FlowGenX AI isn't just another startup; we're building the next generation of AI-driven integration platforms from the heart of Silicon Valley. Our mission is to reinvent no-code/low-code data and application integration with an Agentic Integration Builder—a system that leverages Generative AI and Large Language Models (LLMs) to automate complex workflows and deliver enterprise-grade orchestration.

We're a lean, high-velocity team where every engineer directly impacts architecture, deployment, and customer value. At FlowGenX AI, you'll work with bleeding-edge cloud-native tech, contribute to world-class engineering practices, and help shape the foundations of our multi-tenant SaaS platform.

What you'll do

• Orchestrate cloud-native deployments: Own CI/CD pipelines and production delivery of our SaaS control plane and data-plane services.
• Kubernetes at scale: Deploy and manage containerized workloads, Helm-based deployments, and automated rollouts in multi-tenant environments.
• Infrastructure as Code: Define, provision, and manage infrastructure using Terraform (and other IaC tools where applicable).
• GitOps-driven delivery: Implement and operate GitOps workflows (ArgoCD or equivalent) to streamline deployments.
• Traffic management: Configure and operate Istio, Envoy, or Nginx gateways to enable secure, reliable service-to-service communication.
• Cloud operations: Build and run our systems on GCP (primary) and AWS (secondary), with a focus on reliability, observability, and security.
• Automation & observability: Advance our monitoring, alerting, and logging stack (Prometheus, Grafana, Loki etc.) to deliver runtime insights for both engineering and customer success.
• Unix/Linux excellence: Leverage strong Unix/Linux fundamentals for system-level debugging, performance tuning, and automation.

What you bring

• Kubernetes & Helm mastery: Proven hands-on experience deploying, scaling, and troubleshooting workloads in Kubernetes.
• Unix/Linux skills: Solid hands-on experience with Unix/Linux systems for operations, debugging, and automation.
• Scripting chops: Proficiency in bash, ksh, or Python for automation.
• CI/CD & GitOps: Familiarity or direct experience with ArgoCD (or similar) for continuous delivery using GitOps.
• Cloud fluency
  (nice to have)
  : Hands-on with GCP or AWS.
• Service mesh knowledge
  (nice to have)
  : Familiarity with Istio (or Envoy-based systems) and/or Nginx for advanced networking, traffic splitting, and zero-trust security.
• Observability & reliability: Experience with monitoring/alerting tools and practices to ensure production-grade reliability.
• Security & networking: Working knowledge of TLS, networking fundamentals, and secure systems design.
• Collaboration: Strong communicator who thrives in a distributed, async environment and can partner effectively across engineering, product, and design.

Nice-to-haves

• Experience with multi-tenant SaaS or high-security environments.
• Familiarity with API gateways, secrets management (Vault, Keycloak), and control plane/data plane architectures.
• Exposure to Generative AI, LLMs etc

Why FlowGenX AI

• Impact from Day 1: Your deployments and automation will power real customer workflows within days, not quarters.
• Bleeding-edge tech: Daily exposure to Kubernetes, Istio, Terraform, ArgoCD, GCP/AWS, observability stacks, and GenAI-driven systems.
• Lean & empowered team: High-trust, low-politics culture where your ownership is direct, your ideas matter, and bureaucracy doesn't exist.