Senior Software Engineer -Java FullStack React/Angular
Overview
We are hiring an elite Senior Software Engineer to build and scale our core
data processing and application infrastructure. This role demands deep,
hands-on expertise in the Java ecosystem and distributed computing with Apache
Spark. You will be responsible for the architecture, design, and
implementation of mission-critical systems that process massive datasets,
requiring a mastery of concurrency, JVM internals, and modern cloud-native
patterns.
Core Tech Stack:
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Languages & Runtimes:
Java (8+), SQL, JVM
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Frameworks & Libraries:
Spring (Boot, Data, Security, Batch, Integration),
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UI Skills (React/Angular)
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Databases:
Relational (e.g., PostgreSQL, Oracle), NoSQL (MongoDB, Graph DB)
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Messaging & Middleware:
JMS, Solace
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Containerization & Orchestration:
Docker, Kubernetes, OpenShift
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Build & CI/CD:
Maven, Gradle, Jenkins, Git
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Code Quality & Security:
SonarQube, TDD (JUnit/Mockito), Secure Coding Practices
Key Responsibilities:
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Architect & Build:
Design and construct high-throughput, low-latency data processing pipelines
using Apache Spark and the Spring ecosystem.
- .
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Distributed Systems Design:
Implement scalable, resilient, and transactional architectures leveraging
container orchestration (Kubernetes/OpenShift) and distributed data stores.
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Code & Design Excellence:
Champion and enforce best practices in software engineering, including SOLID
principles, advanced design patterns, Domain-Driven Design (DDD), and
Test-Driven Development (TDD).
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Database Mastery:
Engineer and optimize data models for both relational and NoSQL databases,
ensuring data integrity, performance, and scalability.
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CI/CD Automation:
Own and enhance CI/CD pipelines for automated build, test, and deployment of
Java applications and Spark jobs in a containerized environment.
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Technical Leadership:
Lead design and code reviews, mentor junior engineers, and drive the
adoption of new technologies and architectural patterns across the team.
Required Technical Qualifications:
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Core Java & JVM:
Expert-level proficiency in Java, including the Collections Framework,
Lambdas, and the Java Concurrency API. Demonstrable experience tuning the
JVM and troubleshooting memory/GC issues.
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Spring Ecosystem:
Extensive, practical experience with the Spring Framework, particularly
Spring Boot, Spring Data, React/ Angular and Spring Batch in a production
environment.
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Data Structures & Algorithms:
Deep understanding of fundamental data structures and algorithms, with a
focus on their application in distributed computing and performance-critical
systems.
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Containerization & Cloud-Native:
Hands-on experience with Docker for building images and Kubernetes/OpenShift
for deploying and managing distributed applications.
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Database Engineering:
Strong command of SQL and relational database design, including transaction
management and indexing. Experience with at least one production NoSQL
database (MongoDB, Graph DB, etc.).
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Architectural Design:
Practical application of OOP, SOLID, and DDD principles to build
maintainable and scalable systems. You write tests first (TDD) and believe
in robust, automated testing.