Lead Backend Engineer

Role Summary

We are hiring a Lead Backend Engineer with 10+ years of experience who will own

backend architecture and system design while remaining deeply hands-on. This role is for

someone already making architectural decisions.

You will design, build, and evolve distributed backend systems, define architectural

standards, and guide teams through complex technical decisions.

Core Responsibilities

System Design & Architecture

Design end-to-end backend systems with a focus on scalability, resilience, and maintainability

Define service boundaries, data ownership, and communication patterns

Select and apply appropriate architecture patterns:

o Modular monoliths

o Microservices

o Event-driven systems

o Layered and hexagonal architectures

Drive trade-off decisions (performance vs cost vs complexity)

Produce architecture diagrams, ADRs, Data Flow Diagrams and technical design documents

Backend Engineering

Design and develop high-performance backend services using Python and FastAPI

Build and maintain RESTful APIs and async services

Handle concurrency, background processing, and IO-heavy workloads

Enforce clean code, SOLID principles, and testability

Lead code reviews with a focus on correctness, performance, and long-term design

Data Engineering & Storage

Design and optimize schemas in RDBMS (PostgreSQL/MySQL)

o Indexing, query optimization, transactions, isolation levels

Design data models for NoSQL systems (MongoDB, DynamoDB, Redis, etc.)

Choose the right data store based on access patterns and consistency needs

Handle migrations, versioning, and backward compatibility Distributed Systems

Design systems that handle:

o Partial failures

o Retries, timeouts, and idempotency

o Horizontal scaling

Experience with message brokers and async communication (Kafka, RabbitMQ, SQS, etc.)

Understand consistency models, eventual consistency, and data replication DevOps & Cloud (Hands-on but not DevOps-only)

Work in cloud environments (AWS / Azure / GCP)

Containerize services using Docker

Deploy using CI/CD pipelines

Understand Kubernetes concepts (pods, services, autoscaling) or managed alternatives

Collaborate with DevOps/SRE on observability, logging, and monitoring Technical Leadership

Act as technical owner for backend systems

Mentor senior and mid-level engineers

Set engineering standards and best practices

Work closely with product and business stakeholders to translate requirements into technical designs