Lead Software Engineer

About ShipDelight:

Our Journey, Our Vision From Ground Operations to a Scalable Post-Purchase Engine

When we started ShipDelight 10 years ago, it was about building a digital bridge between supply and demand redefining post-purchase intelligence in e-commerce logistics. We always believed that India already has the infrastructure to connect the last mile, it simply needed a strong technology layer to transform it into a reliable and scalable delivery network. Over the years, we've evolved from a problem-solving logistics team into a full-stack, tech-first platform that powers post-purchase excellence — blending automation, business intelligence, and customer experience.

We have stayed close to the ground by building platforms across B2C, B2B logistics, partnering with fashion brands, D2C challengers, traditional retailers, and now government-backed ecosystems like ONDC. At ShipDelight, our intention is to carve out a niche by aligning with our client's long-term vision: "Empowering brands to drive retention and revenue by owning their post-purchase experience". We believe in offering more than just a service, we provide affirmation, built on the belief that if you "Own your data, you own your customer."

Our Purpose With over two decades of domain expertise and a combined experience of 55 years, the founders of ShipDelight possess unparalleled insight into the challenges that arise from incomplete integration between e-commerce and logistics. This profound understanding enables us to develop comprehensive solutions that address the root issues, ensuring seamless operations and optimal performance for our clients

Our Mission
is to lead a logistics revolution powered by smart technology for modern Bharat.

Role Purpose

Reporting to the
Senior Tech Management
, the Lead Engineer owns backend architecture and hands-on development for ShipDelight's platform. The role leads by example in Python & FastAPI, drives scalable microservices, ensures code quality, and mentors developers to deliver business-critical features with performance, reliability, and security.

Key Role Expectations (RACI)

Responsible

• Design, build, and maintain scalable backend services using
  Python + FastAPI
  .
• Own API contracts, data modeling, and microservice interaction patterns.
• Set up and refine CI/CD pipelines, automated testing, logging, and monitoring.
• Optimize application performance (queries, caching, async I/O) and reliability (retries, idempotency, circuit breakers).
• Review code, provide actionable feedback, and uphold coding standards.
• Collaborate with Product, Frontend, Data, and DevOps to plan and deliver features.
• Create/maintain technical documentation (architecture, ADRs, runbooks, SOPs).

Accountable

• Quality, maintainability, and security of the backend codebase.
• On-time delivery of backend milestones and production readiness.
• Observability coverage (metrics, tracing, alerts) and SLO adherence.
• Mentoring 2–5 engineers and improving team throughput.

Consulted

• Consult
  DevOps
  on infrastructure, deployment, and cost optimization.
• Consult
  Data/Analytics
  on data models, warehousing, and pipeline contracts.
• Consult
  Security/Compliance
  on auth, PII handling, audit, and policies.

Informed

• Keep
  Principal Engineer / Senior Tech Lead
  informed on risks, trade-offs, and architectural decisions.
• Inform stakeholders about dependency impacts, migrations, or deprecations.

Key Competencies

Must Have:

• Expert knowledge of
  Python 3.x
  ,
  FastAPI
  , RESTful API design, async programming.
• 5–7 years
  hands-on backend development with
  Python + FastAPI
  (or Python + Flask/Django with proven FastAPI adoption).
• Demonstrated experience leading small squads, shipping production microservices at scale.
• Strong RDBMS fundamentals (
  PostgreSQL/MySQL
  ), schema design, indexing, transactions.
• Microservices, message queues, and event-driven design.
• Cloud (preferably
  AWS
  ), containers (
  Docker
  ), Git, CI/CD.
• System design & performance tuning; debugging in distributed systems.
• Automated testing (unit, integration), linting, type hints; code review.
• Clear technical communication; ability to convert PRDs into technical plans.
• Ownership and accountability; bias for clean, production-grade delivery.
• Mentoring mindset and collaborative leadership.
• Pragmatic decision-making with attention to security and cost.

Desirable:

• Caching (Redis), task queues (Celery/RQ), streaming (Kafka/Kinesis), GraphQL.
• Observability (Prometheus/Grafana, OpenTelemetry), security best practices (OAuth2/JWT).
• Data modeling for analytics; basic ML service integration.
• Frontend familiarity (React) for API collaboration; infra-as-code (Terraform), Kubernetes.
• Continuous improvement mindset; documents and standardizes patterns.
• Experience in SaaS or logistics-tech; exposure to high-throughput, low-latency systems