Backend Engineer _ AI Gateway

Woongjin, Inc; Englewood Cliffs (NJ); On-site; USD 99,000 - 121,000; Full time

Job summary

Woongjin, Inc in Englewood Cliffs, NJ is building an AI Gateway — a high-performance, secure intermediary layer that routes, inspects, and governs traffic between enterprise clients and LLM/AI service providers. The role demands deep expertise in network programming, async Python, and cloud infrastructure to design and operate a latency-sensitive gateway handling massive concurrent streaming connections.

Candidates should be proficient with FastAPI, Docker/Kubernetes, Redis streams, gRPC, and

Qualifications

• 3+ years in async Python and network programming.
• Experience with streaming, chunked transfer, and real-time LLM inference.
• Familiarity with HTTP/2/HTTP/3, gRPC, and custom parsers.
• Backend API development with FastAPI and OpenAPI docs.
• Containerization and Kubernetes with scaling and canary deployments.
• Experience with Redis Streams, RabbitMQ or Kafka.
• Database experience with PostgreSQL and Vault for secrets management.
• Cloud networking, TLS termination, mTLS, and cert automation.
• IaC with Terraform and CI/CD pipelines (GitHub Actions/GitLab).

Skills

Async Python

Network Programming

Streaming data handling

Protocol knowledge

FastAPI

Observability & FinOps

Tools

Docker

Kubernetes

Istio/Envoy

Terraform

GitHub Actions

GitLab CI

PgBouncer

HashiCorp Vault

Redis

RabbitMQ

Kafka

Nginx/Envoy

Job description

Job Description

We are building an AI Gateway — a high-performance, secure intermediary layer that routes, inspects, and governs all traffic between enterprise clients and LLM/AI service providers. This role requires deep expertise in network programming, async Python, and cloud infrastructure to design and operate a latency-sensitive, policy-driven gateway that handles massive concurrent streaming connections at scale.

What we are looking for

• Async Python & Network Programming (3 + yrs) – Strong hands‑on experience with asyncio, aiohttp/anyio, low‑level TCP/UDP sockets, WebSocket & SSE servers, TLS handshake, connection‑pooling, keep‑alive, and zero‑copy buffering.
• Streaming & Large‑Payload Handling – Ability to manage chunked transfer, bidirectional streaming, back‑pressure and high‑throughput data paths for real‑time LLM inference.
• Protocol Knowledge – Working familiarity with HTTP/2 & HTTP/3 (multiplexing, HPACK), gRPC, and occasional custom protocol parsers.
• FastAPI‑Based Backend (3 + yrs) – Design, develop and test production‑grade REST/Streaming APIs; pragmatic use of Pydantic, dependency injection and OpenAPI docs.
• Containerization & Kubernetes – Docker, AKS/EKS/GKE deployment experience; HPA/VPA scaling, rolling updates, and service‑mesh (e.g., Istio/Envoy) basics.
• Async Messaging & Event‑Driven Design – Production use of Redis Streams, RabbitMQ or Kafka for decoupled task queues, retries and back‑off logic.
• PostgreSQL & Vault – Advanced query tuning, partitioning, PgBouncer pooling, plus HashiCorp Vault (dynamic secrets, transit encryption) for key management.
• Cloud Networking & Security – L4/L7 load balancing, TLS termination, reverse‑proxy (NGINX/Envoy), mTLS between services, and automated cert lifecycle (ACME/Let’s Encrypt).
• IaC & CI/CD – Terraform modules for multi‑env infra, plus GitHub Actions/GitLab CI pipelines with container image scanning and canary/blue‑green deployments.
• Availability to work on‑site in New Jersey for the initial assignment and relocate to Dallas by October 2026

Qualifications

• Enterprise Security Gateways – Integration with CASB/DLP/WSS or similar edge‑security platforms; centralized logging & audit trails.
• IAM & SSO – Configuring Azure AD/Entra ID, Okta, SAML 2.0 or OIDC SSO flows; managing Conditional Access & SCIM provisioning.
• AI/LLM Pipelines – Building prompt‑engineering workflows, PII anonymisation, and monitoring Azure OpenAI (or comparable) usage, rate limits & cost.
• API‑Gateway Operations – Custom webhook/REST integrations, circuit‑breaker patterns, rate‑limiting, auto‑retry and health‑checking.
• Observability & FinOps – End‑to‑end monitoring with Datadog, Prometheus/Grafana or Azure Monitor; proactive cost‑optimisation and 24/7 incident response (SLA/SLO).

Additional Information

All your information will be kept confidential according to EEO guidelines.

NO C2C

Compensation

$110,000-$110,000 per year