Objective

• Design and develop software solutions with regard to full technical stack in line with business requirements, applying architectural best practices for efficient code creation.
• Ensure software quality throughout the entire software development lifecycle to deliver reliable products.

Activity

• Collaborate with stakeholders, including product managers and designers, to understand project requirements and objectives.
• Contribute to the conceptualization and design of software solutions, ensuring alignment with business goals.
• Translate high-level requirements into detailed technical specifications and system designs.
• Apply software architecture principles to create scalable and modular software structures.

• Participate in project planning and estimation, providing insights into technical feasibility and effort required.
• Break down software development tasks into actionable items and prioritize them based on project goals and timelines.
• Identify potential risks and challenges early in the planning phase and propose mitigation strategies.

• Perform regular updates, enhancements, and optimizations to existing software systems.
• Debug and troubleshoot issues reported by users or identified during maintenance cycles.
• Collaborate with the operation team to ensure smooth operation, stability, and reliability of software products.
• Implement backward-compatible changes and updates to maintain software integrity.

• Write clean, efficient, and maintainable code according to coding standards and best practices.
• Develop software components and features using appropriate programming languages and frameworks.
• Implement automated unit tests, integration tests, and regression tests to ensure software quality.
• Debug and resolve issues identified during testing phases, maintaining a focus on code quality and performance.

• Analyze complex technical problems and propose innovative solutions to improve software functionality and performance.
• Conduct thorough code reviews, providing constructive feedback to peers and fostering a culture of code quality.
• Perform performance analysis to identify bottlenecks and areas for optimization in software systems.
• Use data-driven insights to make informed decisions about software design, architecture, and improvements.