Senior Java Full Stack Developer – GCP

We are looking for a Senior Java Developer to support critical GCP projects involving the migration and decoupling of business-critical systems including legacy mainframe-fed data onto modern cloud-native infrastructure on Google Cloud Platform (GCP).

This is a hands-on senior role requiring strong expertise in system design performance reliability and data integrity. The role involves working across the full stack including Java/Spring Boot backend services Angular front-end applications PostgreSQL data design and Apache Airflow-based mainframe-to-cloud data pipelines.

• Java
• GCP
• GitHub
• Jenkins
• GCP Cloud Run
• PostgreSQL
• Apache Airflow
• Angular

• BigQuery

• 6 years of experience in IT.
• 4 years of experience in software development.
• Practical experience in two programming languages or advanced practical experience in one programming language.

• Experience working in Agile environments.
• Strong drive for results with the ability to multitask and work independently.
• Self-starter with proven innovation skills.
• Ability to collaborate effectively with cross-functional teams.
• Strong commitment to quality and project timelines.
• Experience in credit-related systems is a plus.
• Strong foundation in programming standards toolsets and methodologies.

• Build and maintain Java/Spring Boot microservices supporting enterprise applications ensuring clean architecture scalability and maintainability.
• Build and maintain Angular front-end applications that consume backend APIs with focus on performance state management and user experience for business-critical reporting and workflow applications.
• Design and optimize PostgreSQL schemas queries and indexing strategies to support transactional workloads and high-volume batch data loads.
• Diagnose and resolve PostgreSQL performance issues including query plan regressions stale statistics and index bloat.
• Develop and maintain Apache Airflow DAGs to orchestrate data pipelines moving data from mainframe systems into PostgreSQL/Cloud SQL.
• Implement file-arrival validation data quality checks idempotent load patterns and failure recovery mechanisms within data pipelines.
• Architect and implement solutions on Google Cloud Platform (GCP) leveraging services such as Cloud SQL Cloud Run/GKE Cloud Storage and IAM for secure and scalable deployments.
• Collaborate with business stakeholders mainframe/legacy system owners QA teams and other IT teams to plan and execute system separations with minimal business disruption.
• Lead environment promotion activities across Dev UAT and Production environments.
• Ensure configuration portability and automated deployments through CI/CD tools such as Cloud Build and GitHub Actions.
• Proactively identify risks in existing applications and drive remediation initiatives.
• Develop clean well-tested code with appropriate unit and integration testing.
• Participate actively in code reviews design discussions and architectural decision-making.
• Mentor junior and mid-level engineers and contribute to improving technical standards across the team.
• Support UAT and production troubleshooting including root-cause analysis of data and performance issues across Java PostgreSQL and Airflow layers.