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Senior Backend Engineer

2 weeks ago

Karachi, Sindh, Pakistan Lambda Theta Full time 600,000 - 1,200,000 per year

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)

Knowledge of distributed computing and parallel processing

Experience with high-throughput, low-latency systems

Familiarity with observability in ML systems

Nice to Have:

Previous experience in ML/AI platform companies

Knowledge of vector databases and embedding systems

Experience with stream processing (Kafka Streams, Apache Flink)

Understanding of A/B testing frameworks

DevOps and Infrastructure as Code (Terraform, Ansible)