Trellix Off Campus Drive 2025 | Software Engineer Apprentice Recruitment – Apply Now

• Develop well-structured, legible code that meets functional requirements, taking
  care to ensure quality and maintainability of your solutions. Follow the style and
  practices of Modern development.
• Perform analysis and design using object-oriented techniques and, where applicable,
  learn and apply software design patterns to devise elegant solutions that can be
  easily maintained and extended.
• Participate in code reviews within the team and with senior engineers.
• Write unit-tests to verify the integrity of your code and work with Automation
  Engineers to help devise automated functional tests.
• Follow engineering processes to ensure the highest quality products and contribute
  to innovation on Windows or Linux platforms.
• Develop automation framework using Python or similar tools.
• Work with OS in virtual environments like VM-Workstation, ESX server.
• Participate in security concepts & testing and develop code in Cloud technologies
  like AWS.
• Work with global Engineering Teams, Security and Operations colleagues to ensure
  best practices are followed while designing new solutions and services.
• Design, implement, document, and constantly improve in house tools, monitoring
  and automation to deploy and promote code across the different tiers of the
  software lifecycle on cloud technologies.

Skills:

• Excellent programming and technical skills with either C++, Java, or Python.
• Good Knowledge on Data Structures, RDBMS concepts, Computer Networks & OS
  concepts.
• Some experience with development tools such as Visual Studio, Visual Studio
  Debugger, WinDbg or other kernel-debuggers.
• Excellent communication skills, both written and verbal. Ability to listen, adapt and
  influence are essential.
• Excellent ability to break down complex software systems with application of
  problem-solving skills; ability to analyze and present results.
• Knowledge in Cyber Security, usage of dynamic analysis tool is a plus.
• Experience/exposure in AWS and/or any cloud technology will be added advantage.
• Experience/exposure in Machine Learning will be added advantage.