Software Engineer

Position Responsibilities

• Develop highly scalable and robust RESTful APIs and microservices using Java and Spring Boot.
• Leverage AI-Assisted development tools, including Kiro IDE, to accelerate software development through AI-assisted code generation, debugging, and documentation.
• Opportunity to collaborate on emerging AI initiatives, including potential exploration of GenAI based features, as part of the platform’s future roadmap.
• Provide technical leadership by working closely with engineers and product owners to translate business requirements into technical solutions, and mentoring to mid-level and junior engineers when needed.
• Design and optimize complex database schemas, write efficient SQL queries, and develop PL/SQL procedures to support application data needs.
• Ensure code quality & standards by conducting code reviews, establishing best practices, and ensuring code quality, security, and performance, and maintaining unit and integration tests with code coverage.
• Follow Agile practices by partnering with Product Owners, Scrum Masters, and other stakeholders to translate business requirements into actionable technical tasks and sprint deliverables.
• Maintain security and observability by following secure coding practices, maintaining API security, and monitor system health through logging, metrics, and observability tools.
• Contribute to containerized and cloud-native deployments with attention to performance and scalability.

Required Qualifications

• 5+ years of professional experience in software engineering, with a proven track record of developing enterprise applications.
• Strong hands-on expertise in Java and its core ecosystems.
• Extensive experience of building, securing, and scaling microservices using the Spring Boot.
• Hands on experience with AWS, developing and deploying cloud-native applications using services like Lambda, S3, DynamoDB, and EC2.
• Strong proficiency in relational databases, including writing complex SQL queries and developing PL/SQL.
• Manage source code with Git including branching, merging, and collaboration in multi-developer environments.
• Experience working in Agile/Scrum development environments and stepping into lead developer role.
• Strong analytical skills and ability to understand complex system logic.
• Hands-on experience with unit and integration testing using JUnit and ensuring code coverage.

Additional Qualifications (Preferred)

• Generative AI / LLM Exposure: Understanding of Generative AI concepts, including RAG, Prompt Engineering, and integrating LLMs into enterprise applications for capabilities such as sentiment analysis, text processing, and intelligent automation.
• Frontend Technologies: Solid understanding of modern frontend ecosystems, particularly Angular, along with modern CSS frameworks (Bootstrap or Material Design).
• Legacy System Experience: Valuable experience maintaining, troubleshooting, or modernizing legacy Java applications (Java Swing, JSF, and JSP).
• DevOps & Automation: Hands-on experience building or integrating with CI/CD pipelines for automated testing and deployment.
• Agile Tools & Collaboration: Experience with Jira for issue tracking, Confluence for documentation, and collaborative team practices.
• Security Awareness: Knowledge of secure coding practices, OWASP Top 10, Spring Security, and API security standards such as OAuth 2.0 and JWT.
• Observability & Monitoring: Familiarity with tools such as ELK Stack, CloudWatch, Prometheus, or Grafana to monitor application performance.
• Containerization & Cloud Deployment: Experience with Docker and optionally ECS for deploying microservices.
• Collaborative Drive: A strong team-oriented mindset and a "can-do" attitude, with the proactive drive to tackle complex technical challenges alongside the team.
• Mentorship & Support: A genuine desire to help others succeed, demonstrated through peer support, approachability, and a commitment to elevating the team's overall capabilities.