Marmon Technologies Recruitment 2026
Marmon Technologies
Skills & Eligibility
- Bachelor’s degree (B.E / B.Tech / B.Sc) in Computer Science, Information Technology, or a related quantitative engineering discipline.
- No prior professional work experience required (Freshers are eligible). Academic project exposure or internships in software development are an added advantage.
- Demonstrated understanding of Data Structures, Algorithms, and Object-Oriented Programming (OOP) concepts.
- Solid grasp of the Software Development Lifecycle (SDLC) principles and methodologies.
- Working knowledge of database fundamentals (SQL/NoSQL) and API/system integration concepts.
- Strong problem-solving capability and logical analytical thinking skills.
- Effective verbal and written English communication skills to collaborate in cross-functional Agile teams.
- Familiarity with modern version control systems like Git and collaborative code practices.
- Exposure to Agile software development workflows and iterative delivery cycles.
- Basic understanding of networking, web protocols, software testing (unit tests, code reviews).
- Working knowledge or awareness of AI Infrastructure and Prompt Engineering concepts.
- Bachelor’s degree (B.E / B.Tech / B.Sc) in Computer Science, Information Technology, or a related quantitative engineering discipline.
- No prior professional work experience required (Freshers are eligible). Academic project exposure or internships in software development are an added advantage.
- Demonstrated understanding of Data Structures, Algorithms, and Object-Oriented Programming (OOP) concepts.
- Solid grasp of the Software Development Lifecycle (SDLC) principles and methodologies.
- Working knowledge of database fundamentals (SQL/NoSQL) and API/system integration concepts.
- Strong problem-solving capability and logical analytical thinking skills.
- Effective verbal and written English communication skills to collaborate in cross-functional Agile teams.
- Familiarity with modern version control systems like Git and collaborative code practices.
- Exposure to Agile software development workflows and iterative delivery cycles.
- Basic understanding of networking, web protocols, software testing (unit tests, code reviews).
- Working knowledge or awareness of AI Infrastructure and Prompt Engineering concepts.
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