Chennai, Tamil Nadu
Back-end Software Development Engineer #1065688Position Description:
- We are looking for a Senior Java Developer to join our team supporting critical GCP projects, where we are migrating and decoupling 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 for someone who thrives on solving real architectural and data-integrity challenges — not just writing code, but owning the design, performance, and reliability of the systems they build.
- You'll work across the full stack — from Java/Spring Boot backend services and Angular front ends to PostgreSQL data design, to orchestrating mainframe-to-cloud data pipelines with Apache Airflow.
Skills Required:
- GitHub
- Jenkins
- GCP Cloud Run
- PostgreSQL
- AIRFLOW
- Angular
- GCP
- Java
Skills Preferred:
- Big Query
Experience Required:
- Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.
- 6+ years in IT
- 4+ years in development
Experience Preferred:
- Experience with Agile
- Strong drive for results and ability to multi-task and work Independently
- Self-starter with proven innovation skills
- Ability to work with cross-functional teams
- Commitment to quality and project timing
- Experience a plus
- Solid foundation in programming standards, toolsets and methodologies
Education Required:
- Bachelor's Degree
Additional Information:
- Build and maintain Java (Spring Boot) microservices supporting enterprise framework, ensuring clean architecture, scalability, and maintainability.
- Build and maintain Angular front-end applications that consume backend APIs, with attention to performance, state management, and user experience for business-critical reporting and workflow tools.
- Design and optimize PostgreSQL schemas, queries, and indexing strategies to support both transactional workloads and high-volume batch data loads (including diagnosing and resolving performance issues such as 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), including file-arrival validation, data quality checks, idempotent load patterns, and failure recovery.
- Architect and implement solutions on Google Cloud Platform (GCP), leveraging services such as Cloud SQL, Cloud Run/GKE, Cloud Storage, and IAM for secure, scalable deployments.
- Collaborate closely with cross-functional teams (business stakeholders, mainframe/legacy system owners, QA, other IT teams) to plan and execute system separations with minimal business disruption.
- Lead environment promotion activities (Dev ¿ UAT ¿ Prod), ensuring configuration is portable and deployments are automated via CI/CD (e.g., Cloud Build, GitHub Actions).
- Proactively identify risks in existing applications and drive remediation.
- Write clean, well-tested code (unit and integration tests) and participate actively in code reviews, design discussions, and architectural decision-making.
- Mentor junior/mid-level engineers and contribute to raising the technical bar across the team. Support UAT and production troubleshooting, including root-cause analysis of data or performance issues across the Java, PostgreSQL, and Airflow layers.