Key Responsibilities
- Develop, test, and maintain robust software applications according to business and technical requirements.
- Write clean, modular, and efficient code using advanced programming languages and frameworks.
- Collaborate with system architects, business analysts, and other developers to translate requirements into technical solutions.
- Conduct performance tuning, debugging, and troubleshooting for applications across different environments.
- Integrate applications with internal systems, third-party services, and cloud platforms.
- Maintain and enhance existing applications to improve functionality, performance, and user experience.
- Participate in designing application architecture and workflow optimizations.
- Perform code reviews, implement design patterns, and adhere to software engineering best practices.
- Stay updated with emerging technologies, tools, and frameworks to enhance productivity and application quality.
- Prepare comprehensive technical documentation and provide training/support to end-users when necessary.
Qualifications & Experience
- Education: Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- Experience: 3-7 years of experience in software development or application programming.
Technical Expertise / Tough Skills:
- Proficiency in Java, C#, Python, or equivalent high-level programming languages.
- Strong knowledge of object-oriented programming (OOP), design patterns, and software architecture principles.
- Experience with web technologies: HTML5, CSS3, JavaScript, Angular, React, or similar frameworks.
- Database management skills: SQL, Oracle, MySQL, PostgreSQL, including query optimization.
- Experience with RESTful API, SOAP services, and microservices architecture.
- Hands-on experience with DevOps tools like Jenkins, Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with cloud platforms (AWS, Azure, GCP) and deployment strategies.
- Knowledge of unit testing, integration testing, and automation frameworks.
- Security-aware programming: authentication, authorization, encryption, and secure coding practices.
- Ability to work with version control systems like Git, Bitbucket, or SVN.
- Exposure to big data tools (Hadoop, Spark) or analytics integration is a plus.
