Senior Backend Developer

We are looking for a Senior Backend Engineering profile with deep expertise in Python, Django, and scalable distributed systems. In this role, you will design and implement high-performance APIs, architect backend services for scale, and ensure reliability in mission-critical production environments. You will also tackle complex system design challenges, drive backend performance optimizations, and mentor the engineering team in best practices.

Responsibilities

• Architect and develop high-performance, distributed backend systems using Python and Django.
• Design APIs (REST and GraphQL) that prioritize scalability, maintainability, and reliability.
• Optimize database schemas and write performant queries capable of handling millions of records and high-throughput workloads.
• Build and manage asynchronous workflows using Celery, Redis, or other message queue mechanisms.
• Drive system performance enhancements through caching, horizontal/vertical scaling strategies, and proactive monitoring solutions.
• Design and maintain production-grade CI/CD pipelines ensuring safe deployments and zero downtime.
• Implement security best practices across authentication, authorization, data protection, and API hardening.
• Collaborate with frontend, DevOps, and data engineering teams for end-to-end system design and integration.
• Explore advanced integrations with AI and LLM backends (e.g., LangChain, LangGraph) to support intelligent workflows.

Requirements

• Proven experience building large-scale backend systems with Python and Django.
• Strong understanding of system design, distributed systems, and microservices architecture.
• Expertise in database optimization (PostgreSQL/MySQL), schema redesign, and indexing strategies.
• Hands-on experience with asynchronous processing tools such as Celery, Redis, Kafka, or RabbitMQ.
• Familiarity with API architectures (REST, GraphQL), performance tuning, and query optimization.
• Strong problem-solving skills to address real-world scalability, performance, and reliability challenges.
• Experience with CI/CD pipelines (GitHub Actions, GitLab CI, or equivalent) and zero-downtime deployments.
• Solid understanding of cloud environments (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Knowledge of security best practices for backend systems and APIs.
• Exposure to AI/LLM integrations in production (LangChain, LangGraph, vector databases).

Nice to Have

• Experience leading or mentoring backend engineering teams.
• Familiarity with observability tools (Prometheus, Grafana, ELK stack, OpenTelemetry).
• Hands-on knowledge of serverless architectures or event-driven systems.
• Prior work in fintech, SaaS, or AI-driven products.

Contact: Ramarao.donipudi@tbellsearch.com