Software Development Engineer Fullstack I
TELUS Digital
Product-Based Company
Job Description
TELUS Digital hiring Software Development Engineer Fullstack I in Bangalore with hybrid work model. Build services and platform which power TD AI. Understand, follow and contribute to TD AI's standards for software development life cycle. Work closely with product and tech team to deliver efficient, maintainable and unit tested software. Collaborate with product & business teams to understand customer journeys and solve problems that help TD AI grow under guidance of senior. Write good tech specs, and come up with better solutions. Fixing bugs and implementing enhancements. Work on AI Data Solutions shaping future of AI with premium data services for AI ecosystem including machine learning, computer vision and Generative AI (GenAI).
Requirements
0-2 years experience working experience in programming language like Java, C#, Python or GoLang. Basic understanding of databases like MySQL, PostgreSQL etc. Knowledge of HTML5 / CSS3, React etc. Deep understanding on OOPs concepts, logics, & JavaScript. Strong problem solving skills and fast learner. Excellent understanding of computer science fundamentals, data structures, algorithms and design patterns. Decent knowledge of fundamentals of computer science and web development. Passion for learning new technologies.
Required Skills
JavaScript
React
Java
Python
MySQL
PostgreSQL
HTML5
CSS3
Hiring Insights
- Hiring Status: Actively hiring
- Batch Priority: 2023-2025 preferred
- Expected Response Time: 2–3 weeks after applying
- Preferred Qualification: B.E, B.Tech, BCA
Note: Insights are based on previous hiring patterns and community feedback.
Selection Process
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Step 1 Online Application
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Step 2 Coding Test
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Step 3 Technical Interview
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Step 4 Full Stack Assessment
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Step 5 HR Discussion
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Step 6 Final ResultDuration: 1-2 weeks
Typical process based on past hiring patterns at product-based companies.
Who Should Apply
Software developers with 0-2 years experience in full stack technologies.
Common Reasons for Rejection
- Weak full stack skills
- Poor problem-solving
- No AI interest