Backend Engineer _ AI Gateway

Englewood Cliffs, NJ, US • Posted 11 days ago • Updated 2 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Leadership
  • Health Insurance
  • Insurance
  • IaaS
  • Python
  • Network Programming
  • TCP
  • UDP
  • Sockets
  • WebSocket
  • Servers
  • Real-time
  • HTTP
  • Multiplexing
  • Dependency Injection
  • Kubernetes
  • Docker
  • Messaging
  • Redis
  • Streaming
  • RabbitMQ
  • Apache Kafka
  • PostgreSQL
  • Query Optimization
  • Encryption
  • Cloud Computing
  • Computer Networking
  • Load Balancing
  • TLS
  • Proxies
  • Nginx
  • Continuous Delivery
  • Terraform
  • GitHub
  • GitLab
  • Continuous Integration
  • Jersey
  • DLP
  • Microsoft SharePoint
  • Auditing
  • SAML
  • OIDC
  • SSO
  • Management
  • Provisioning
  • Artificial Intelligence
  • Prompt Engineering
  • Workflow
  • API
  • Microsoft Azure
  • Incident Management
  • SLA

Summary

Company Description

For More Open Positions Visit us at:
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Our Mission

WOONGJIN INC. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership.

Benefits
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • 401(k)
  • Paid Sick hours

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, PrometheGrafana 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******
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90803333
  • Position Id: 232bb1d3f336f6ae607bb2272c8f8bf6
  • Posted 11 days ago
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