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Merkle Science

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2.9

based on 5 Reviews

57 Merkle Science Jobs

Lead Java Backend Developer

Merkle Science

2.9

based on 5 Reviews

7-12 years

Mumbai, New Delhi, Pune + 1 more

1 vacancy

Lead Java Backend Developer

Merkle Science

posted 18hr ago

Job Role Insights

Key skills for the job

Medical Coding Data Analytics Clinical Data Management Backend CCTV Monitoring Data Processing

+ 2 more

Job Description

We are looking for a highly skilled Lead Java Backend Developer to spearhead the development of a cutting-edge application development for Fortune 50 client. This role demands deep expertise in Java, Spring Boot, Microservices, API-first development, and event-driven architecture, with a strong focus on Google Cloud Platform (GCP) services.

The ideal candidate will design, develop, and deploy scalable cloud-native applications while ensuring seamless integration with BigQuery, Pub/Sub (Kafka, RabbitMQ, GCP Pub/Sub), Kubernetes, and Docker. This is a hands-on technical leadership role, driving high-quality software engineering best practices

Key Responsibilities:

1. Backend Development & Cloud-Native Implementation

Design, develop, and deploy high-performance, scalable, and secure backend services using Java, Spring Boot, and Microservices.
Implement an API-first architecture, ensuring seamless integration with external and internal systems.
Build event-driven, distributed, and decoupled architectures, leveraging Pub/Sub messaging systems like Kafka, RabbitMQ, or GCP Pub/Sub.
Develop and optimize BigQuery-based data processing pipelines for real-time and batch workflows.
Deploy, manage, and optimize containerized applications using Docker and Kubernetes on GCP (GKE).

2. Code Quality, CI/CD & Best Practices

Write clean, efficient, and reusable code following SOLID principles and design patterns.
Implement and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Conduct code reviews and enforce coding best practices to ensure high-quality software delivery.
Implement observability practices (logging, monitoring, tracing) to improve system reliability.

3. Collaboration & Cross-Functional Coordination

Work closely with Architects, Product Owners, and Designers to understand technical specifications and business requirements.
Collaborate with Data Engineers, DevOps, and QA teams to deliver seamless, end-to-end solutions.
Troubleshoot, debug, and optimize existing systems, ensuring high availability and low-latency performance.

4. Performance Optimization & Scalability

Identify bottlenecks and optimize system performance for high-load applications.
Ensure efficient processing in real-time and batch workflows using GCP services (BigQuery, Dataflow, Cloud Functions, Cloud Run, etc).
Implement cost-effective and scalable cloud-based solutions, following GCP best practices.

Required Skills & Expertise:

Core Backend & API Development

Strong expertise in Java (8+), Spring Boot, and Microservices architecture.
Deep understanding of event-driven architecture and message queuing systems (Kafka, RabbitMQ, GCP Pub/Sub).
Experience in building and managing RESTful APIs using an API-first approach.

Cloud & Infrastructure (GCP Focus)

Hands-on experience with Google Cloud Platform (GCP), including:
- BigQuery for large-scale data processing.
- Cloud Pub/Sub for event-driven messaging.
- GKE (Google Kubernetes Engine) for container orchestration.
- Cloud Functions / Cloud Run for serverless computing.
Containerization & Deployment
- Experience with Docker and Kubernetes, managing microservices-based deployments.
- Proficiency in scaling distributed systems using Kubernetes-based architectures.

Qualifications & Experience:

Bachelor s or Master s degree in Computer Science, IT or a related field.
7+ years of backend development experience, with at least 4 years specializing in GCP-based solutions.
Proven track record of implementing solutions in Infrastructure Modernization, Data Management, Analytics, or Application Modernization.
Excellent problem-solving skills and attention to detail.

Employment Type: Full Time, Permanent

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