About Us

At ZharfaTech, we build scalable, high-performance GenAI systems that power cutting-edge AI solutions. Our team architects robust infrastructure to enable seamless AI integration, prioritizing scalability, security, and efficiency. If you’re passionate about solving complex backend challenges and working at the intersection of AI and distributed systems, you’ll thrive here.

About the Role

As a Senior Back-End Developer, you’ll design and maintain mission-critical backend services that power our AI-driven platforms. You’ll focus on building high-performance APIs, optimizing databases, and ensuring reliable deployment pipelines, while collaborating closely with AI engineers to deliver scalable solutions. We’re looking for someone who excels in clean code, distributed systems, and infrastructure challenges—a problem-solver who can balance speed with long-term maintainability.

What You'll Do

• API & Service Development: Design and build low-latency REST APIs using FastAPI, with Swagger/OpenAPI documentation. Implement authentication (OAuth2), rate limiting, and security protocols (TLS/SSL).
• Database & System Architecture: Architect scalable solutions using PostgreSQL, pgvector (vector search), and Qdrant. Optimize queries, indexing, and caching for high-throughput applications. Design fault-tolerant microservices with Docker and Docker Compose.
• DevOps & Deployment: Automate CI/CD pipelines (GitHub Actions, Jenkins) for seamless deployments. Manage cloud infrastructure (AWS/GCP/Azure) with IaC tools (Terraform, CloudFormation). Monitor systems using Prometheus, Grafana, or Datadog.
• AI Integration: Partner with AI engineers to deploy models (e.g., via FastEmbed, vLLM) and optimize backend workflows for real-time inference.
• Collaboration & Leadership: Mentor junior developers, advocate for best practices in code quality, and contribute to architectural decisions.

What You'll Bring

• Backend Expertise: 5+ years of experience with Python and frameworks like FastAPI or Django.
• Database Mastery: Proficiency in PostgreSQL, including query optimization, indexing, and vector search (pgvector).
• Distributed Systems: Strong understanding of microservices, API design, and fault-tolerant architecture.
• DevOps & Cloud: Hands-on experience with Docker, Kubernetes, CI/CD, and cloud platforms (AWS/GCP/Azure). Familiarity with IaC (Terraform).
• Security & Performance: Knowledge of TLS/SSL, OAuth2, caching (Redis), and load balancing.
• Collaboration Skills: Ability to work closely with AI teams and explain technical trade-offs to non-engineers.

Nice to Haves

• Experience with real-time systems (WebSocket, Kafka/RabbitMQ).
• Familiarity with MCP server design for scalable compute tasks.
• Exposure to AI tooling (FastWhisper, vLLM, Hugging Face) as a backend integrator.
• Contributions to open-source projects or experience in high-scale startups.