Associate Software Engineer - IT
Flex
About the role
Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.
We are looking for passionate engineering graduates who are curious about technology, eager to learn, and excited to apply their knowledge in practical business environments.
This role is ideal for candidates who demonstrate strong problem-solving skills, learning agility, adaptability, and a genuine interest in emerging technologies such as Artificial Intelligence, Automation, Cloud Computing, Data Analytics, and Digital Platforms.
More than academic scores, we value individuals who are willing to experiment, continuously learn, and adapt to an ever-evolving technology landscape.
What a typical day looks like :
- Support development, automation, analytics, and digital transformation initiatives.
- Participate in projects involving:
- Artificial Intelligence and Generative AI
- Data Analytics and Visualization
- Business Automation
- Cloud Technologies
- Application Development
- Digital Workplace Technologies
- Identify opportunities to improve processes through innovation and technology.
- Analyze business problems and propose technology-enabled solutions.
- Participate in workshops, hackathons, innovation challenges, and project-based learning.
- Apply logical thinking and analytical skills to solve operational and technical challenges.
- Work effectively with cross-functional teams and global stakeholders.
- Demonstrate strong communication and teamwork skills.
The experience we’re looking to add to our team:
Educational Qualification
- Bachelor's Degree in:
- Computer Science Engineering
- Information Technology
- Artificial Intelligence & Data Science
Technical Fundamentals
Candidates should possess understanding of
- Programming Fundamentals
- Object-Oriented Concepts
- Data Structures & Algorithms
- Database Concepts
- Computer Networks
- Operating Systems
- Software Development Lifecycle
- Basic Cloud Concepts
Knowledge of any programming language is preferred:
- Python
- Java
- C#
- JavaScript
- SQL
Generative AI Expectations
- At Flex, AI is becoming an integral part of how we work.
- Candidates are expected to:
- Demonstrate curiosity and interest in Generative AI technologies.
Have hands-on exposure to AI tools such as:
- Microsoft Copilot
- ChatGPT
- GitHub Copilot
- Gemini
- Claude or similar AI platforms
Understand how AI can improve
- Productivity
- Learning
- Research
- Content creation
- Coding assistance
- Data analysis
- Showcase projects, experiments, prompts, prototypes, or use cases where AI tools were utilized.
What you’ll receive for the great work you provide:
- Health Insurance
- Paid Time Off
BB04
Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process.
Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).
Eligibility & process
Who can apply
Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Flex's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.