Senior Developer/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:

We're looking for an experienced
Sr Developer/Technical Lead
(3+ years experience) who can lead the design, development, and scaling of backend systems powering large-scale logistics. In this role, you'll architect high-throughput systems, guide a team of engineers, and integrate AI tools and agentic frameworks (Model Context Protocol (MCP), Multi Agent Systems (MAS), etc.) into your development and decision-making workflows.

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:

• 3+ years of backend development experience with at least 1+ years as a
  team/tech lead
  .
• Deep expertise in
  Python, Go
  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.