Python Engineer – ScaleReal Technologies – Full Job Description
Company: ScaleReal Technologies
Location: Remote
Job Type: Full-time
Salary: Negotiable
Remote, India
Full Time
Experience: 2 – 4 years
What you’ll be doing:
- Writing Clean, Readable, Testable and Reusable Code.
- Design simple systems that are built for scale.
- Break down complex problems in to small and simple problems.
- Consider Software Development as a craft and keep improving everyday.
- Working closely with other Developers, UX designers, Business and System Analysts.
- Take part in all daily activities like Stand-ups, Iteration planning, Retrospectives.
What we are looking for:
- Expert in Python.
- Good Knowledge of any of the available web frameworks like Django, Flask, Tornado…etc.
- Understanding of the Concurrency and Parallelism limitations of Python and workarounds for them.
- Good understanding of server-side templating languages.
- Basic understanding of front-end technologies, such as React, TypeScript/JavaScript, HTML5, and CSS3
- Knowledge of user authentication and authorization implementation.(Oauth, SAML, OpenId,..)
- Familiarity with event-driven programming in Python.
- Great understanding of any of the concepts like REST, gRPC, GraphQL.
- Able to create database schemas that represent and support business processes.
- Strong TDD, unit test and debugging skills.
- Proficient understanding of Git and GitHub workflows.
- Proficient in docker usage.
- Basic Understanding of CI/CD workflows.
- Cloud deployment basics (AWS/Azure/GCP)
Additional skills to be considered as a plus:
- Golang, ROR, Kotlin, React, VueJS
- AWS, Ansible, Kubernetes, Docker
Job Perks:
- Freedom to implement and follow industry best practices.
- Get to work with the most down to earth and talented people.
- Get to work on very interesting problems with impact in real world.
- We are always working on bleeding edge tech stack. MicroServices?? Serverless?? we got you covered.
- Open and Inclusive Environment.
- Remote first teams.
- Flexible timings as long as work gets done.
- Opportunity to contribute to open-source projects.
