Senior Backend Engineer
2 weeks ago
Senior Backend Engineer - Platform & Infrastructure
Company Description:
Lambda Theta specializes in designing and developing
AI-powered software solutions
for international clients. With expertise in
computer vision, natural language processing (NLP), artificial intelligence, and embedded systems
, we deliver
state-of-the-art, customized solutions
that address complex industry challenges. Our focus is on building
highly specialized and indigenized software systems
tailored to client needs.
Key Responsibilities:
API Gateway & Load Balancing:
Design and implement robust API gateway solutions with load balancing, rate limiting, SSL termination, and DDoS protection
Session & Cache Management:
Build scalable session management systems with multi-level caching strategies (L1 in-chat, L2 shared, L3 distributed)
Task Orchestration:
Develop sophisticated task queuing, scheduling, and distribution systems for parallel processing workflows
System Architecture:
Design microservices architecture with proper service mesh, inter-service communication, and fault tolerance
Performance Optimization:
Implement auto-scaling, resource optimization, and system performance monitoring
Security & Compliance:
Ensure authentication, authorization, data encryption, and security best practices
Required Technical Skills:
Languages:
Python (advanced), Go/Java (preferred for high-performance services)
Frameworks:
FastAPI/Flask, Django, or equivalent web frameworks
Databases:
PostgreSQL, Redis, MongoDB (multi-database experience), Milvus
Message Queues:
RabbitMQ, Apache Kafka
Containerization:
Docker, Kubernetes (production experience required)
Cloud Platforms:
OCI/GCP/Azure (at least one, OCI)
API Design:
RESTful APIs, GraphQL, API versioning and documentation
Monitoring:
Prometheus, Grafana, ELK stack, distributed tracing
Domain-Specific Requirements:
Experience with ML pipeline orchestration (Airflow, Prefect, or similar)
Understanding of model serving frameworks (MLflow, KubeFlow, Seldon)
Experience with high-throughput, low-latency systems
Familiarity with observability in ML systems
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