Job
Description
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.
