Lead Python Developer
Blend
5 - 10 years
Hyderabad
Posted: 04/01/2026
Job Description
Job Title: Lead Python Developer (Backend)
Experience: 6+ Years
Location: Hyderabad Preferred (Hybrid)
Employment Type: Full-Time
Role Overview
We are looking for a Lead Python Developer (Backend) to architect, build, and scale high-performance backend systems. This role requires strong hands-on expertise in Python, microservices, databases, caching, and messaging systems, along with the ability to technically lead and mentor a backend engineering team.
Key Responsibilities
Backend Architecture & Development
- Design, develop, and own scalable backend services using Python and modern frameworks such as FastAPI or Django .
- Architect and implement RESTful APIs with a focus on performance, reliability, and security.
- Drive backend design decisions including service boundaries, data flow, and scalability strategies.
- Lead end-to-end backend delivery from design to production.
Databases & Data Management
- Design and optimize relational and NoSQL databases to support high-volume, low-latency applications.
- Strong hands-on experience with databases such as PostgreSQL, MySQL, MongoDB, or similar .
- Own database schema design, indexing strategies, query optimization, and performance tuning.
- Ensure data consistency, integrity, and scalability across distributed systems.
- Work closely with data and analytics teams to support data-driven backend services.
Caching & Performance Optimization
- Design and implement caching strategies to improve system performance and reduce latency.
- Hands-on experience with caching technologies such as Redis / Memcached .
- Identify performance bottlenecks and apply caching, async processing, and optimization techniques.
- Define cache invalidation, TTL strategies, and consistency models for backend services.
Messaging & Asynchronous Processing
- Design and build event-driven and asynchronous systems using messaging platforms.
- Hands-on experience with Kafka, RabbitMQ, AWS SQS/SNS, or similar messaging systems .
- Implement reliable producers, consumers, retries, and dead-letter queues.
- Use messaging to decouple services, improve scalability, and enable real-time data processing.
Microservices & Cloud-Native Systems
- Architect and develop microservices-based systems with proper fault tolerance and observability.
- Containerize services using Docker and deploy using Kubernetes or similar orchestration tools.
- Collaborate with DevOps teams on infrastructure, scaling, and deployment strategies.
CI/CD, Quality & Observability
- Establish and maintain CI/CD pipelines for automated build, test, and deployment.
- Ensure high code quality through unit, integration, and contract testing .
- Implement logging, monitoring, and alerting using tools like Prometheus, Grafana, ELK , or equivalents.
- Own production readiness, incident debugging, and system reliability.
Technical Leadership & Collaboration
- Act as a technical lead , mentoring junior and mid-level developers.
- Conduct code reviews, enforce best practices, and improve engineering standards.
- Collaborate with product, frontend, QA, DevOps, and data teams to deliver business-critical solutions.
- Participate in design reviews, estimations, and sprint planning.
Required Qualifications
- 6+ years of backend software development experience , primarily in Python.
- Strong expertise in Python (including async programming and performance optimization).
- Hands-on experience with FastAPI, Django , or similar frameworks.
- Solid experience with SQL and NoSQL databases and data modeling.
- Strong understanding of caching mechanisms (Redis/Memcached).
- Hands-on experience with messaging systems (Kafka, RabbitMQ, SQS, etc.).
- Experience building microservices architectures .
- Hands-on experience with Docker , Kubernetes , and CI/CD pipelines.
- Strong debugging, problem-solving, and communication skills.
Preferred Qualifications
- Experience with cloud platforms (AWS / Azure / GCP).
- Prior experience in a Lead / Senior Backend Engineer role.
- Exposure to security best practices (authentication, authorization, API security).
- Experience building high-throughput, low-latency systems at scale.
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