Java Full Stack Developer

The ideal candidate will have 3-7 years of experience working as a full-stack engineer with:
• Experience in software delivery in agile methodologies.• Strong development experience in Java and front-end technologies like JavaScript or TypeScript.• Strong development experience in Spring Framework and REST API-based applications.• Experience in front-end frameworks like React or Angular.• Knowledge of AWS and Kubernetes.• Strong experience with databases like Oracle, MySQL, PostgreSQL, and NoSQL databases like DynamoDB, and the ability to design and implement efficient data models.• Strong development experience with testing frameworks like JUnit, Cucumber, Gauge, or Selenium.• Experience developing highly performant quality applications on the cloud.• Experience with DevOps toolchains such as Terraform, Ansible, Jenkins, and Bamboo.• Ability to travel when required.• Strong communication skills and a customer-centric focus.• Working knowledge of APIs, caching, and messaging.• Experience with container technologies will be advantageous.• TDD and pair programming best practices with CI/CD pipelines.• Passion for growing your skills and tackling challenging problems.

Key Differentiators for Team Members:

• GenAI Proficiency: Experience with AI coding assistants, copilots, tooling, generative code, and documentation. Utilize GenAI for prototyping, automated testing, documentation, and intelligent code reviews.
  • Observability First Approach: Implement metrics, tracing, and logs as code, with real-time dashboards for every service.• Continuous Improvement: Conduct data-driven retrospectives powered by AI insights.• Contract Driven Mindset: Enforce strict API contracts and versioning to enable parallel development and autonomous team delivery.• Limitless Innovation Mindset: View legacy systems as launchpads for new solutions, challenge assumptions, and pioneer innovations.• Code as Craft: Write clean, modular, future-proof code with a focus on transforming old platforms into next-gen systems.• Self-Healing Systems: Build automated anomaly detection and remediation for platforms to recover without human intervention.• Continuous Learning & Knowledge Sharing: Lead by example, host internal tech talks, publish open-source patterns, and mentor peers.• Agile at Scale: Deliver incremental value rapidly, learn from feedback loops, and iterate without sacrificing stability.• Legacy Modernization Mindset: Break down monoliths into modular microservices, delivering business value in small slices.• Customer-Centric Engineering: Ground decisions in improving user outcomes, reducing friction, and accelerating time to value.