Lead Backend Developer

Job Title: Lead Backend Developer (Python & Microservices)

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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.

this is your moment.

Lead Backend Developer (Python & Microservices)

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.

high-ownership, high-impact role

• 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.

• 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.

• 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.

• 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.

• 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).

• 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.

• 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.

• 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).

• 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).

• 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.

• 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.

• 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

1. Submit your updated resume and GitHub/portfolio links (if available).
2. Shortlisted candidates will have a technical discussion and coding assessment.
3. Technical interview rounds covering system design, backend architecture, and problem-solving.
4. Final leadership interaction round.
5. Offer!

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!

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