Associate Software Engineer

Responsibilities

• Collaborate with engineers, product managers, and other stakeholders to develop software solutions that meet business and customer needs.
• Design, develop, test, and maintain software applications, services, and APIs.
• Contribute to front-end, back-end, or full-stack development initiatives-based project assignments.
• Participate in code reviews and incorporate feedback to improve code quality and technical skills.
• Assist with troubleshooting, debugging, and resolving software defects.
• Develop and maintain integrations with internal and external systems.
• Work with relational and No
  
  SQL databases to store, retrieve, and manage application data.
• Support the development and deployment of applications in cloud environments.
• Write clean, maintainable, and well-documented code following engineering best practices.
• Participate in Agile development activities, including sprint planning, stand-ups, and retrospectives.
• Leverage AI-powered development tools and automation technologies to improve productivity, code quality, testing, documentation, and problem-solving.
• Explore opportunities to incorporate AI and machine learning capabilities into software solutions under the guidance of senior engineers and architects.
• Continuously develop technical knowledge and skills across all aspects of software engineering — including languages, frameworks, databases, cloud technologies, testing, and engineering best practices — with a curiosity and growth mindset that extends to emerging tools and technologies such as AI and intelligent automation.

• Bachelor's or Master’s degree in computer science, Software Engineering, Computer Engineering, Information Technology, or a related technical field.
• Understanding of software development fundamentals, including object-oriented programming, data structures, algorithms, and software design principles.
• Experience with at least one modern programming language such as C#, Java, JavaScript, Type Script, Python, or similar through coursework, projects, internships, or personal development.
• Familiarity with web technologies, APIs, and modern software development practices.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Basic understanding of relational and/or No
  
  SQL database concepts.
• Experience using Git or other version control systems.
• Interest in artificial intelligence (AI), machine learning (ML), and emerging technologies, with a willingness to leverage AI-enabled tools in daily workflows.
• Strong problem-solving, analytical, and communication skills.
• Ability to learn quickly and collaborate effectively in a team-oriented environment.