About the Company: | We are a team of passionate engineers from California, Bangkok, and India building a platform to bring the power of AI and Data-Driven Business Intelligence to every business, no matter the size. Our vision is to tech enable every step: from Marketing to Operations, all the way to Customer Service.
For more details visit www.shopster.ai
Number of Vacancies: | 7
Target Degree and Branch: | Any Degree
Batch (Graduation Year): | 2022
Salary: | During the Training period 15,000
After Training 4 LPA – 7 LPA
Training period Duration: | Depending on the candidate’s skill, the training period will be decided. If the candidate is Technically strong, there will not be any Training period
Designation: | Software Engineer (Full-Stack)
Skill Set Required: |
– Bachelor’s degree in computer science, information technology, or engineering
– Experience building software applications
– Knowledge of HTML, CSS, JavaScript, Python – Django preferred
– Experience designing and integrating RESTful APIs
– Excellent debugging and optimization skills
– Unit/integration testing experience
Roles and Responsibilities: |
– Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
– Architect and ensure application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
– Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities
– Engage with inspiring designers and front end engineers, and collaborate with leading back end engineers as we create reliable APIs
– Collaborate across time zones via Slack, GitHub comments, documents, and frequent video conferences.
Joining Location: | Work from Home
Tentative Joining Date: | October 25, 2021
Interview Location: | Online
Tentative Selection process Start Date: | October 20, 2021
Gender Preference (If any): | Male & Female can apply
Academic % Cut-off (10th, 12th, Graduation): | No criteria
Selection Process: | Level 1: Task completion
Level 2: HR Round
Bond to be Signed: | No
Bond Details (if applicable): | NA
Please note: Students indulging in any form of malpractices during the interview process or displaying inappropriate behaviour such as sharing incorrect profile information or wrong details on resume, not attending interviews after applying to a job, indulging in plagiarism, etc., will immediately be withheld from all career support by Great Learning including immediate removal of access to CareerBoost platform.
