Technical Lead

About Delhivery

Delhivery is India’s leading fulfillment platform for digital commerce. With a vast logistics network spanning 18,000+ pin codes and over 2,500 cities, Delhivery provides a comprehensive suite of services including express parcel transportation, freight solutions, reverse logistics, cross-border commerce, warehousing, and cutting-edge technology services. Since 2011, we’ve fulfilled over 550 million transactions and empowered 10,000+ businesses, from startups to large enterprises.

Vision

To become the operating system for commerce in India by combining world-class infrastructure, robust logistics operations, and technology excellence.

About the Role:

Backend Technical Lead

You’ll drive engineering excellence, contribute to architectural decisions, and nurture a culture of ownership, innovation, and AI-native development. This is a hands-on leadership position where you’ll build systems, lead design reviews, and mentor a high-performing team while pushing the boundaries of AI-assisted engineering.

What You’ll Do:

• Technical Leadership & Ownership:

• Lead the architecture, design, and delivery of scalable RESTful and gRPC APIs.
• Guide system design and backend workflows for microservices handling millions of transactions daily.
• Drive engineering best practices in code quality, testing, observability, and deployment.

• Team Leadership:

• Mentor and coach a team of backend and frontend developers, helping them grow technically and professionally.
• Conduct regular design/code reviews and set high standards for system performance, reliability, and scalability.
• Drive sprint planning, task breakdowns, and technical execution with a bias for action and quality.

• AI-Native Development:

• Leverage modern AI tools (e.g., Cursor AI, Copilot, Codex, Gemini, Windsurf) for:
• Prompt-based code generation, refactoring, and documentation.
• Intelligent debugging and observability enhancements.
• Test case generation and validation.
• Experiment with and implement agentic frameworks (MCP, MAS etc) in building tools, automating workflows, optimization tasks, or intelligent system behavior.
• Contribute and maintain to internal AI prompt libraries and lead adoption of AI-assisted development practices.

• Systems & Infrastructure:

• Own the end-to-end lifecycle of backend services — from design to rollout and production monitoring.
• Work with data models across PostgreSQL, DynamoDB, or MongoDB.
• Optimize services using metrics, logs, traces, and performance profiling tools.

• Cross-functional Collaboration:

• Partner closely with Product, Design, QA, DevOps, and other Engineering teams to deliver cohesive product experiences.
• Influence product roadmaps and business decisions through a technical lens.

What We’re Looking For:

• 5–8 years of backend development experience with at least 1+ years as a

  team/tech lead

  .
• Deep expertise in

  Python, Go, or Java

  and comfort across multiple backend frameworks.
• Solid understanding of

  Data Structures, Algorithms, System Design, and SQL

  .
• Proven experience in building, scaling, and maintaining

  microservices

  .
• Strong hands-on experience with

  REST/gRPC APIs

  ,

  containerized deployments

  , and

  CI/CD pipelines

  .

• Strong database fundamentals

  — indexing, query optimization, replication, consistency models, and schema design
• Exposure to

  system scalability concepts

  — horizontal/vertical scaling, sharding, partitioning, rate-limiting, load balancing, and caching strategies..
• Effective use of AI developer tools (Cursor AI, Codex, Copilot, Gemini, Windsurf) in real-world engineering workflows.
• Exposure to

  agentic frameworks

  and AI concepts such as:
• MCP, Multi-Agent Systems (MAS), Belief-Desire-Intention (BDI), or NLP pipelines.

• Cloud proficiency

  (any cloud,

  AWS preferred

  ), including deployment,

  cost optimization

  , and

  infrastructure scaling

  .
• Excellent communication and stakeholder management skills.
• A strong sense of ownership, problem-solving ability, and collaborative mindset.