Senior Java Full Stack Developer – GCP

Position Description

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.

Skills Required

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

Skills Preferred

• BigQuery

Experience Required

• 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 Preferred

• 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.

Key Responsibilities

• 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.