Backend Lead -Python must

Position: Backend Lead / Architect

Location: Pune Balewadi High street

Position Overview : We are seeking a highly skilled and experienced Backend Lead / Architect to design, develop, and maintain scalable, reliable, and high-performance backend solutions for our multi-tenant SaaS products. The ideal candidate will have a deep understanding of distributed systems, microservices, and cloud-based architectures, with a proven track record in handling production issues at scale. You will collaborate closely with the AI Lead and Frontend Lead to ensure seamless integration of backend services, AI/ML pipelines, and front-end functionalities, thereby

delivering a robust, secure, and feature-rich experience to our customers.

Key Responsibilities

1. System Architecture & Design

• Define and implement the overall backend architecture for multi-tenant SaaS applications, ensuring scalability, high availability, security, and compliance.

• Design microservices and RESTful/GraphQL APIs and Websockets in alignment with front-end and AI requirements.

• Establish design patterns and best practices for code modularity, performance optimization, and scalability.

2. Scalability & Performance

• Identify performance bottlenecks and oversee optimization strategies (caching, load balancing, message queues, etc.).

• Implement and maintain monitoring/observability solutions (e.g., Prometheus, Grafana, Loki, ELK Stack) to ensure real-time system health insights and rapid incident response.

• Establish performance baselines, conduct stress tests, and implement disaster recovery strategies.

3. Production Stability & Issue Resolution

• Proactively monitor production environments, anticipating potential failures and bottlenecks.

• Triage, diagnose, and resolve production incidents with minimal downtime, using robust logging, tracing, and on-call rotation strategies.

• Drive root cause analysis and post-mortems for production incidents, implementing preventative measures.

4. Collaboration & Cross-Functional Coordination

• Work closely with the AI team to integrate MLOps pipelines, ensuring smooth data flow and secure model deployment.

• Collaborate with the Frontend team to provide well-defined API contracts, enabling efficient UI/UX development.

• Partner with DevOps to define CI/CD pipelines, container orchestration (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation) practices.

5. Team Leadership & Mentorship

• Lead and mentor a team of backend developers, setting clear goals and providing guidance on best practices.

• Perform code reviews to ensure high code quality, maintainability, and adherence to design standards.

• Foster a culture of continuous learning, encouraging the adoption of new technologies, tools, and methodologies.

6. Security & Compliance

• Implement secure coding practices and follow industry standards (e.g., OWASP Top 10).

• Work with compliance teams to ensure data privacy and regulatory requirements (HIPAA) are met.

• Oversee authentication/authorization frameworks (OAuth, JWT, etc.) and data encryption at rest and in transit(Encryption, SSL/TLS).

7. Documentation

• Maintain comprehensive technical documentation, including architecture diagrams, APIs, database schemas, and operational runbooks.

• Facilitate knowledge sharing sessions and handovers to ensure smooth onboarding of new team members.

Qualifications

• Education:

• Bachelors or Master’s degree in Computer Science, Engineering, or a related

field.

• Experience:

• 8+ years of experience in backend or full-stack development, with 3+ years in a technical lead or architect role.

• Demonstrated history of leading and delivering large-scale, distributed systems in production environments.

• Technical Expertise:

• Languages & Frameworks: Proficiency in modern backend languages (e.g., Python) and associated frameworks (Django/FastAPI, etc.).

• Database Systems: Strong knowledge of both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases, including data modeling and query optimization.

• Microservices & Architecture: Hands-on experience with microservices,containerization (Docker, Kubernetes), and service mesh architectures.

• Cloud Platforms: Experience with cloud providers like AWS and Azure for deployment, scaling, and monitoring.

• CI/CD & DevOps: Familiarity with CI/CD pipelines, Git workflows,infrastructure-as-code, and automated testing.

• Monitoring & Observability: Proficiency with tools like Prometheus, Grafana, ELK Stack, Loki for real-time monitoring and log analysis.

• Soft Skills:

• Leadership: Ability to lead teams, manage conflict, and drive a vision for the backend architecture.

• Communication: Strong written and verbal communication skills to coordinate with cross-functional teams (AI, Frontend, QA, Product).

• Problem-Solving: Analytical mindset for troubleshooting complex issues in high- pressure environments.

• Collaboration: Demonstrated capability to work seamlessly across multiple teams and stakeholders.

Preferred Qualifications

• Exposure to AI/ML Integrations: Understanding of MLOps practices for model deployment and monitoring.

• Knowledge of Healthcare or Highly Regulated Industries: Familiarity with HIPAA, or similar compliance standards.

• Certification(s) in AWS, Azure, or GCP.