Backend Engineer_AI Gateway

SBT Global, Inc.

$127K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in async Python and network programming
  • Practical knowledge of HTTP/2, HTTP/3, and gRPC protocols
  • Experience with containerization and Kubernetes deployment
  • Strong skills in backend API design using FastAPI
  • Hands-on experience with cloud security configurations and IAM solutions
  • Knowledge of cloud infrastructure with emphasis on scalability and performance
  • Familiarity with observability tools and cost management practices.

Responsibilities

  • Design and build a high-performance, secure AI Gateway for enterprise clients
  • Develop and maintain production-grade REST and streaming APIs using FastAPI
  • Implement async messaging and event-driven architectures for real-time data handling
  • Integrate with enterprise security solutions for centralized logging and policy enforcement
  • Monitor and optimize AI/LLM pipelines including cost management and usage tracking
  • Ensure cloud networking security with TLS termination and reverse proxies
  • Establish CI/CD pipelines for seamless deployment and infrastructure management.

Benefits

  • Comprehensive health and wellness programs
  • Opportunities for professional development and training
  • Flexible work environment with a focus on innovation
  • Employee engagement and recognition initiatives
  • Access to the latest tools and technologies in AI and cloud infrastructure.
Full Job Description
1 yr Contract Full-Time, On Site Pay Rate: ~$10,570/mo DOE Korean Bilingual Highly Preferred 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. Job Description • 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. 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).

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