Full-stack Engineer

• The Senior Software Engineer is responsible for working independently and with a team to develop innovative solutions and high-quality products.
• Analyse the communications, specifications, architectural requirements and programming requirements of clients.
• Design, develop and test software programs for engineering applications and highly sophisticated systems.
• Provide input and insight into the software design and architecture, collaborating with Enterprise Architects and development teams throughout the SDLC.
• Design and develop responsive new user interfaces using CSS 3.0, Angular, ReactJS, and jQuery, and implement REST APIs following JAX-RS standards while documenting with Swagger 2.0.
• Partner with cross-functional teams to set up Rabbit MQ for message flow governance, and develop database scripts using SQL Server, MySQL, Oracle, and MongoDB, utilizing ORM frameworks like Hibernate.
• Expertise in secure application development is required, including implementing Single-Sign-On with CAS and Spring Security and securing APIs with OAuth 2.0 and SAML 2.0.
• Strong familiarity with design patterns such as MVC and Dependency Injection is critical to enhance code maintainability and scalability.
• Build and maintain CI/CD pipelines with Jenkins or Bamboo, conducting performance tuning through Garbage Collection Analysis and Heap Analysis, and troubleshooting complex system bottlenecks.
• Develop and deploy data pipelines while driving operational efficiency by automating processes and improving data delivery mechanisms.
• Monitor application performance using Garbage Collection Analysis, Heap Analysis, efficiency.
• Provide technical leadership by mentoring engineers, conducting design/code reviews, and contribute to industry knowledge through blogs and open-source projects.
• Address performance bottlenecks, troubleshoot live issues, and fine-tune system configurations to maximize reliability and performance.
• Work with cross-functional teams to address customer requirements, optimize system reliability, troubleshoot live issues, and improve customer satisfaction.
• Lead projects and provide clear feedback to stakeholders, ensuring alignment with requirements and delivering exceptional customers satisfaction.
• Innovate and contribute to the adoption of new technologies in cloud, big data, and machine learning while working in agile environment.
• Design and develop data migration pipelines from legacy systems to modern cloud infrastructure.
• Automate processes and improve data delivery mechanisms to enhance operational efficiency.

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