Technical Lead ( Backend )

Technical Lead (Backend)

Roles and Responsibilities

Development & Implementation:

• Translate product requirements into functional features.
• Work directly with a team of developers to conceptualize, build, test, and release products.
• Deliver best-in-class code for a broad array of interactive web and mobile products.
• Optimize the performance of existing implementations and debug production issues.

Architecture & Design:

• Develop features for highly complex, distributed transaction processing systems.
• Have a knack for benchmarking and optimization.

Continuous Improvement:

• Work on the continuous improvement of products through innovation and learning.
• Stay abreast of new innovations and the latest technology trends to improve the product.

Testing & Quality Assurance:

• Implement functionality for automated tests that will successfully pass and meet coding standards.

Leadership:

• Act as a team lead, managing products and developers.
• Have the ability to deal with ambiguity and lead a team in an agile environment.

Skills Required

Experience:

Core Technologies:

• Experience in

  Node.js

  and

  Nest.js

  with

  GraphQL

  is a must.
• Experience in

  JavaScript

  and

  TypeScript

  is good to have.

Databases:

• Database architecture and design on

  SQL (e.g., Postgres)

  and

  NoSQL (e.g., MongoDB)

  systems.
• Experience in various data storage options, such as Relational and NoSQL.

Software Development Practices:

• Experience in any message bus like

  Apache Kafka

  or

  RabbitMQ

  for event-driven architectures.
• Strong emphasis on unit-testing and

  TDD (Test-Driven Development)

  .
• Experience in a

  CI/CD

  environment with

  GitlabCI/ArgoCD/Jenkins

  .
• Experience with

  Agile Development (SCRUM methodology, JIRA)

  .
• Proficiency with code versioning tools like

  Git

  .

Problem-Solving:

• The ability to debug moderately complex problems, analyze logs in production systems, and read existing code.
• A strong understanding of object-oriented design, data structures, and complexity analysis.

Tools:

• Familiarity with the

  Elasticsearch ELK stack

  (

  Elasticsearch, Kibana, and Logstash

  ).