Job Description

Who are we looking for? Academic degree in, but not limited to, Bachelors or Masters in CA, CS, or any engineering discipline. Beyond academic degrees, we give more weightage to 8+ years of real-world experience to develop scalable & high-quality software.

Technology skills:

• Knowledge of building RESTful API’s using Python, Django ORM, SQLAlchemy & FastAPI or Flask.

• Excellent python coding skills & understanding of python best practices (PEP8) & fundamental design principles behind scalable applications.

• Familiar with testing tools like pytest, locust, hypothesis.

• Understanding of PostgreSQL, MySQL. Knowledge of ORM (object-relational mapping).

• In depth understand of docker, git, GitHub & GitHub actions.

• Experience in backend related Azure cloud components such as Web app, Functions etc.

• Good understanding of DB Design Principles and Optimization.

• Working knowledge of Sequelize/Waterline ORM is good to have. Expertise in:

• Strong foundation in data structures & algorithms.

• Strong experience in code versioning using Git (or alike), maintaining one modularized code base for multiple deployments, automation using CI/CD pipelines.

• Experience in working in Agile environment.

• You should have at least 5 years of experience working in distributed/cloud based environment.

• Experience in microservice architecture, domain driven design & building RESTful services.

• Experience in internal aspects of run time environments, complex libraries/dependencies, docker containerization.

• Guide & mentor team to make right technology choices. Challenges status quo with an owner’s mindset of what can break & think of proactively fixing.

• You have bias for action & make right trade-offs between engineering design & solving business needs.

• Skilled with common front-end technologies such as HTML, CSS, JS, TypeScript. Few skills in addition that will make you stand out…

• Experience in mentoring/managing junior team members & developing their skills.

• Experience working with data scientists & helping put machine learning solutions into production.

• Contributions to OSS or Stackoverflow.