Senior Software Engineer

Senior Software Engineer - Core Java & Apache Spark

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Senior Software Engineer - Core Java & Apache Spark 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:

• Languages & Runtimes: Java (8+), SQL, JVM

• Big Data Ecosystem: Hadoop, Hive, Impala, Spark Tuning & Optimization

• Databases: Relational (e.g., PostgreSQL, Oracle), NoSQL (MongoDB, Graph DB)

• Messaging & Middleware: JMS, Solace • Containerization & Orchestration: Docker, Kubernetes,

OpenShift

• Build & CI/CD: Maven, Gradle, Jenkins, Git

• Code Quality & Security:

SonarQube, TDD (JUnit/Mockito), Secure Coding Practices Frameworks & Libraries:

Spring (Boot, Data, Security, Batch, Integration), Apache Spark (RDD, Spark SQL,

DataFrames/DataSets)

Key Responsibilities:

Architect & Build: Design and

construct high-throughput, low-latency data processing pipelines using Apache Spark

and the Spring ecosystem. Performance Engineering: Dive deep into JVM internals,

garbage collection tuning, and Spark job optimization to maximize performance and

resource efficiency. Distributed Systems Design: Implement scalable, resilient, and

transactional architectures leveraging container orchestration (Kubernetes/OpenShift)

and distributed data stores. 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). Database

Mastery: Engineer and optimize data models for both relational and NoSQL databases,

ensuring data integrity, performance, and scalability. 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. Technical Leadership: Lead

design and code reviews, mentor junior engineers, and drive • View Job Posting Details

04:37 pm 14/07/2026 Page 2 of 3 the adoption of new technologies and architectural

patterns across the team.

Required Technical Qualifications:

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. Apache Spark: Proven, hands-on experience

developing, deploying, and tuning complex Spark applications for large-scale data

transformation and analysis. Spring Ecosystem: Extensive, practical experience with the

Spring Framework, particularly Spring Boot, Spring Data, and Spring Batch in a

production environment. Data Structures & Algorithms: Deep understanding of

fundamental data structures and algorithms, with a focus on their application in

distributed computing and performance critical systems. Containerization & Cloud-

Native:

Hands-on experience with Docker for building images and

Kubernetes/OpenShift for deploying and managing distributed applications. 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.). 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.