Job Description

Job Title: Lead Backend Developer (Python & Microservices) Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 6–10 years About Darwix AI Darwix AI is at the forefront of building the future of revenue enablement through a GenAI-powered conversational intelligence and real-time agent assist platform. Our mission is to empower global sales teams to close better, faster, and smarter by harnessing the transformative power of Generative AI, real-time speech recognition, multilingual insights, and next-gen sales analytics. Backed by top venture capitalists and industry leaders, Darwix AI is scaling rapidly across India, MENA, and US markets. With a leadership team from IIT, IIM, and BITS, we are building enterprise-grade SaaS solutions that are poised to redefine how organizations engage with customers. If you are looking for a role where your work directly powers mission-critical AI applications used globally, this is your moment. Role Overview We are seeking a Lead Backend Developer (Python & Microservices) to drive the architecture, scalability, and performance of our GenAI platform's core backend services. You will own the responsibility of designing, building, and leading backend systems that are real-time, distributed, and capable of supporting AI-powered applications at scale. You will mentor engineers, set technical direction, collaborate across AI, Product, and Frontend teams, and ensure that the backend infrastructure is robust, secure, and future-proof. This is a high-ownership, high-impact role for individuals who are passionate about building world-class systems that are production-ready, scalable, and designed for rapid innovation. Key Responsibilities🔹 Backend Architecture and Development Architect and lead the development of highly scalable, modular, and event-driven backend systems using Python. Build and maintain RESTful APIs and microservices that power real-time, multilingual conversational intelligence platforms. Design systems with a strong focus on scalability, fault tolerance, high availability, and security. Implement API gateways, service registries, authentication/authorization layers, and caching mechanisms. 🔹 Microservices Strategy Champion microservices best practices: service decomposition, asynchronous communication, event-driven workflows. Manage service orchestration, containerization, and scaling using Docker and Kubernetes (preferred). Implement robust service monitoring, logging, and alerting frameworks for proactive system health management. 🔹 Real-time Data Processing Build real-time data ingestion and processing pipelines using tools like Kafka, Redis streams, WebSockets. Integrate real-time speech-to-text (STT) engines and AI/NLP pipelines into backend flows. Optimize performance to achieve low-latency processing suitable for real-time agent assist experiences. 🔹 Database and Storage Management Design and optimize relational (PostgreSQL/MySQL) and non-relational (MongoDB, Redis) database systems. Implement data sharding, replication, and backup strategies for resilience and scalability. Integrate vector databases (FAISS, Pinecone, Chroma) to support AI retrieval and embedding-based search. 🔹 DevOps and Infrastructure Collaborate with DevOps teams to deploy scalable and reliable services on AWS (EC2, S3, Lambda, EKS). Implement CI/CD pipelines, containerization strategies, and blue-green deployment models. Ensure security compliance across all backend services (API security, encryption, RBAC). 🔹 Technical Leadership Mentor junior and mid-level backend engineers. Define and enforce coding standards, architectural patterns, and best practices. Conduct design reviews, code reviews, and ensure high engineering quality across the backend team. 🔹 Collaboration Work closely with AI scientists, Product Managers, Frontend Engineers, and Customer Success teams to deliver delightful product experiences. Translate business needs into technical requirements and backend system designs. Drive sprint planning, estimation, and delivery for backend engineering sprints. Core RequirementsTechnical Skills 6–10 years of hands-on backend engineering experience. Expert-level proficiency in Python . Strong experience building scalable REST APIs and microservices. Deep understanding of FastAPI (preferred) or Flask/Django frameworks. In-depth knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Experience with event-driven architectures: Kafka, RabbitMQ, Redis streams. Proficiency in containerization and orchestration: Docker, Kubernetes. Familiarity with real-time communication protocols: WebSockets, gRPC. Strong understanding of cloud platforms (AWS preferred) and serverless architectures. Good experience with DevOps tools: GitHub Actions, Jenkins, Terraform (optional). Bonus Skills Exposure to integrating AI/ML models (especially LLMs, STT, Diarization models) in backend systems. Familiarity with vector search databases and RAG-based architectures. Knowledge of GraphQL API development (optional). Experience in multilingual platform scaling (support for Indic languages is a plus). Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Experience working in product startups, SaaS platforms, AI-based systems, or high-growth technology companies. Proven track record of owning backend architecture at scale (millions of users or real-time systems). Strong understanding of software design principles (SOLID, DRY, KISS) and scalable system architecture. What You’ll Get Ownership : Lead backend engineering at one of India's fastest-growing GenAI startups. Impact : Build systems that directly power the world's next-generation enterprise sales platforms. Learning : Work with an elite founding team and top engineers from IIT, IIM, BITS, and top tech companies. Growth : Fast-track your career into senior technology leadership roles. Compensation : Competitive salary + ESOPs + performance bonuses. Culture : High-trust, high-ownership, no-bureaucracy environment focused on speed and innovation. Vision : Be a part of a once-in-a-decade opportunity building from India for the world. About the Tech Stack You’ll Work On Languages : Python 3.x Frameworks : FastAPI (Primary), Flask/Django (Secondary) Data Stores : PostgreSQL, MongoDB, Redis, FAISS, Pinecone Messaging Systems : Kafka, Redis Streams Cloud Platforms : AWS (EC2, S3, Lambda, EKS) DevOps : Docker, Kubernetes, GitHub Actions Others : WebSockets, OAuth 2.0, JWT, Microservices Patterns Application Process Submit your updated resume and GitHub/portfolio links (if available). Shortlisted candidates will have a technical discussion and coding assessment. Technical interview rounds covering system design, backend architecture, and problem-solving. Final leadership interaction round. Offer! How to Apply 📩 careers@darwix.ai Please include: Updated resume GitHub profile (optional but preferred) 2–3 lines about why you're excited to join Darwix AI as a Lead Backend Engineer Join Us at Darwix AI – Build the AI Future for Revenue Teams, Globally! #LeadBackendDeveloper #PythonEngineer #MicroservicesArchitecture #BackendEngineering #FastAPI #DarwixAI #AIStartup #TechCareers Show more Show less