Backend Microservices Developer

Forward Eye Technologies • Java • SQL • ETL/ELT • Informatica • 28 days ago
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Salary
≈ $10k – $29k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Junior · 2+ years exp

First seen by Alion on Sep 5, 2026.

Overview
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Profile match

Forward Eye Technologies

forwardeyetechnologies.com • Bengaluru • UTC+05:30
Tech stack of Forward Eye Technologies

Key Responsibilities :

1. Backend & Microservices (Spring Boot) :

- Develop and deploy RESTful microservices using Spring Boot and Java.

- Develop and maintain ETL pipelines using Informatica PowerCenter.

- API Management using Kubernetes / Docker.

- Integrate Oracle MDM with external systems through APIs, middleware, or messaging queues (Kafka).

- Ensure scalability, reliability, and performance tuning of microservices.

- Implement security (OAuth2/JWT), caching, and monitoring for services.

2. Collaboration & Delivery :

- Work closely with data architects, frontend developers, and business analysts to gather requirements.

- Support CI/CD pipelines and automated deployment in cloud/on-prem environments.

- Participate in code reviews, unit testing, and performance optimization.

Required Skills :

- Hands-on expertise in Kubernetes and Docker.

- Proficiency in Java, Spring Boot, and microservices architecture.

- Experience with REST APIs, JSON/XML, and API integrations.

- Knowledge of SQL, PL/SQL, and database performance tuning.

- Familiarity with CI/CD (Jenkins, GitLab CI etc.).

- Understanding of cloud platforms (AWS, Azure, or GCP) is a plus.

- Experience with messaging systems (Kafka, RabbitMQ) preferred.

Nice To Have :

- Hands-on expertise in Automic (Job Scheduling).

- Experience with Grafana, OpenSearch and Ansible.

- Understanding of data governance and data quality frameworks.

- Experience with Oracle Database programming with PL/SQL Certificate.

- Experience in Informatica Power Center (ETL Process).

Skills

Java, Spring Boot, Microservices Architecture, Power Center, Kafka, ETL, Oracle MDM, API Integration, AWS

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