Banavo.AI · 5 hours ago
Full Stack Engineer
United States
Full-time
Remote
Mid, Senior LevelBanavo.AI is seeking a Full Stack Engineer to drive execution of high-level goals and ambiguous requirements with minimal oversight. The role involves using AI tools to develop and test solutions, build end-to-end features, and manage production-grade deployments on Kubernetes.
Computer Software
Responsibilities
Take high-level goals and ambiguous requirements, break them into a clear plan, drive execution end-to-end with minimal oversight, and proactively communicate progress, risks, and tradeoffs (written and verbal) across engineering, product, and stakeholders
Use AI (ChatGPT/Co-Pilot/Perplexity/AI-native IDEs/Google, etc.) extensively and naturally to research, design, develop, and test solutions to meet business and product goals. Develop/customize MCP services and coding agents for the entire SDLC process
Build and ship end-to-end features across Next.js UI, backend REST APIs, and the supporting platform on AWS/EKS
Develop and maintain Python/FastAPI services (including async/streaming endpoints where needed)
Own production-grade deployments on Kubernetes/EKS, including scaling, reliability, and debugging
Manage infrastructure using Terraform, working with reusable modules and environment promotion
Operate a GitOps deployment workflow using FluxCD (HelmReleases/Kustomizations, reconciliation, drift management)
Collaborate with product, data, and AI teams to deliver user-facing workflows and internal platform capabilities
Improve observability and operability: logging, metrics, alerting, runbooks, and incident response hygiene
Qualification
Required
Next.js with React + TypeScript for building production user interfaces
Python with FastAPI and TypeScript with Node for building and operating backend services
AWS: hands-on experience with IAM, VPC fundamentals, EKS, ALB/NLB, S3, CloudWatch/CloudTrail, ECR, KMS, Secrets Manager/SSM, Route 53
Kubernetes: Deployments/Services/Ingress, namespaces, requests/limits, probes, HPA/PDB, node groups, taints/tolerations, hands-on debugging with kubectl
FluxCD: GitOps workflows including sources, reconciliation, dependencies, HelmRelease/Kustomizations, and drift management
Terraform: modules, environments/workspaces, remote state, and building/operating AWS + EKS infrastructure
Docker: building and shipping images; working with registries (ECR) and runtime configuration
Production ownership: ability to debug across app + cluster + AWS using logs/metrics and improve reliability over time
Experience building multi-tenant SaaS patterns (tenant isolation, RBAC, per-tenant config, auditability)
Security best practices: least-privilege IAM design, Kubernetes RBAC hygiene, secrets rotation, image scanning/supply-chain practices
Preferred
Go (for services, CLIs, operators/controllers, or performance-sensitive components)
Istio (ingress gateway, auth at the edge, traffic routing policies, mTLS concepts)
Prometheus/Grafana/Alertmanager and/or OpenTelemetry in production
EKS operations: deploying and troubleshooting workloads in production; familiarity with upgrades/add-ons and operational best practices
Company
Banavo.AI
Rooted in the Sanskrit-origin word "बनावो" (banaavo) – meaning “to make”, Banavo.AI enables Agentic Commerce for retailers and brands through a powerful Agent OS platform that implements Seller AI Agents and other AI Agents to automate commerce workflows.
Founded in 2022
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase