About The Role

We are looking for a Full Stack Software Engineer to join a collaborative product engineering team focused on delivering scalable digital solutions. You will contribute across the technology stack, including frontend, backend APIs, and cloud-native services, while following engineering best practices such as test-driven development, pair programming, CI/CD, and continuous improvement.

This role offers the opportunity to work with Java, Spring Boot, Google Cloud Platform (GCP), and modern AI-assisted development tools to accelerate software delivery while maintaining high standards of quality, security, and reliability.

Responsibilities

Software Engineering & Delivery

Design, develop, test, and maintain features across web applications and backend services.
Build scalable, secure, and reliable applications that meet functional and non-functional requirements.
Collaborate with Product Managers, Architects, and engineers to deliver business value.
Participate in technical design discussions and proof-of-concept initiatives.
Develop automated unit, integration, and regression tests.
Monitor application performance and implement observability solutions.
Support production systems and participate in rotational support activities as required.

AI-Assisted Engineering

Use AI-assisted development tools to improve productivity across coding, testing, debugging, documentation, and code review activities.
Evaluate AI-generated outputs and ensure compliance with quality, security, and coding standards.
Contribute to experimentation with AI/LLM-powered solutions, internal tools, and workflow enhancements.
Share emerging practices related to AI-assisted software development within the team.

Agile & Collaboration

Participate in Agile ceremonies and continuous improvement activities.
Engage in pair programming, code reviews, and collaborative problem-solving.
Contribute to DevOps, CI/CD, automation, and secure software development practices.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, MCA, or related discipline.
2-5 years of software development experience with exposure to both backend and frontend technologies.
Strong hands-on experience with Java and Spring Boot.
Experience developing RESTful APIs and microservices.
Experience with Google Cloud Platform (GCP) or another major cloud platform.
Knowledge of software testing practices including unit and integration testing.
Experience with Git, Maven/Gradle, and CI/CD pipelines.
Familiarity with code quality and application security tools.
Experience working in Agile development environments.
Exposure to AI-assisted development tools and willingness to adopt emerging engineering technologies.

Preferred Qualifications

Experience integrating AI/LLM services into applications.
Experience with Vertex AI, Gemini, or other AI platforms.
Exposure to MCP (Model Context Protocol) or similar integration frameworks.
Experience with mobile application development (Swift or Kotlin).
Experience mentoring engineers or supporting AI-assisted development practices.
Experience creating reusable prompts, workflows, or team productivity standards.

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