Back End Developer

We are looking for a highly skilled Backend Developer who can design, build, and scale distributed systems that power high-growth products and AI driven applications.

The ideal candidate has deep expertise in Python and Go, extensive experience with FastAPI, containerised deployments using Docker and Kubernetes, and a proven track record of scaling systems serving millions of requests while maintaining reliability, performance, and security.

This role requires strong architectural thinking, hands-on coding expertise, and the ability to optimize backend systems for high throughput, low latency, and cost efficiency.

Key Responsibilities:

Backend Architecture & Development

• Design and develop highly scalable backend services using Python and Go.
• Build and maintain RESTful APIs and microservices using FastAPI.
• Architect distributed systems capable of handling high traffic and large-scale workloads.
• Write clean, maintainable, testable, and production-grade code.
• Establish engineering standards, code review practices, and backend best practices.

Performance & Scalability:

• Lead initiatives for system scalability, reliability, and performance optimization.
• Identify and eliminate bottlenecks in APIs, databases, caching layers, and infrastructure.
• Optimize application latency, throughput, and resource utilization.
• Design systems for horizontal scaling and fault tolerance.
• Implement caching strategies using Redis and distributed caching mechanisms.

Cloud & Infrastructure:

• Build and manage containerized applications using Docker.
• Deploy, operate, and optimize workloads on Kubernetes clusters.
• Design CI/CD pipelines and automated deployment workflows.
• Implement infrastructure observability using monitoring, logging, and tracing tools.
• Drive cloud cost optimization and infrastructure efficiency initiatives.

AI Platform Development:

• Develop backend services supporting AI/ML applications and LLM-based products.
• Build APIs for AI model inference, orchestration, and integration.
• Work with vector databases, embeddings, RAG architectures, and model-serving pipelines.
• Optimize AI workloads for performance, scalability, and cost.
• Collaborate with AI engineers and data scientists to productionize machine learning systems.

Reliability & Security:

• Design resilient systems with high availability and disaster recovery considerations.
• Implement authentication, authorization, and API security best practices.
• Ensure compliance with security standards and data protection requirements.
• Conduct architecture reviews and proactively address technical debt.

Required Qualifications:

• 2+ years of backend development experience.
• Hands-on experience with Python/GO.
• Strong expertise in FastAPI and modern API design principles.
• Proven experience scaling applications from startup scale to high-traffic production environments.
• Extensive experience with Docker and Kubernetes in production.
• Strong understanding of distributed systems, microservices architecture, and event-driven systems.
• Deep knowledge of database optimization and query performance tuning.
• Experience with PostgreSQL, MySQL, MongoDB, Redis, or similar technologies.
• Strong understanding of concurrency, parallel processing, and asynchronous programming.
• Strong debugging, profiling, and performance optimisation skills.

Preferred Qualifications:

• Experience building AI-powered products or Generative AI applications.
• Hands-on experience with:
• LLM integrations (OpenAI, Anthropic, Gemini, etc.)
• RAG architectures
• Vector databases (Pinecone, Weaviate, Qdrant, Milvus)
• AI orchestration frameworks (LangChain, LlamaIndex)
• Experience with message queues such as Kafka, RabbitMQ, or NATS.
• Experience with cloud platforms (AWS, GCP, Azure).
• Knowledge of Infrastructure as Code (Terraform, Pulumi).
• Experience with service mesh technologies and Kubernetes operators.
• Exposure to MLOps and AI deployment workflows.