Software Engineer, Data and Java

Accountabilities:

• Develop, maintain, and enhance Java-based backend services and data-processing components.


• Build scalable solutions for data ingestion, transformation, processing, and system integration.


• Design and implement reliable backend and data services that support enterprise applications and high-volume workloads.


• Collaborate with engineering and business stakeholders to understand requirements and deliver effective technical solutions.


• Contribute to system architecture, implementation, testing, deployment, and production operations.


• Improve the performance, reliability, scalability, and maintainability of application and data services.


• Troubleshoot and resolve defects, production incidents, and technical issues across both application and data layers.


• Work with data platform technologies such as Spark, Kafka, and other large-scale data processing tools.


• Support cloud-based infrastructure, CI/CD workflows, and data pipeline operations.


• Participate in code reviews and contribute to clean coding standards, technical documentation, and engineering best practices.


• Apply appropriate security practices and contribute to systems aligned with relevant ISO, SOC, or similar security standards.


• Ramp up quickly on existing systems, technologies, and processes while maintaining a strong focus on delivery and quality.

Requirements

• 4+ years of professional software engineering experience, preferably in backend and data-focused environments.


• Strong hands-on Java development skills and experience building production-grade backend services.


• Experience working with data-oriented systems, ETL processes, data processing workflows, or backend data services.


• Solid understanding of APIs, databases, distributed application architecture, and system integration.


• Experience with Spark, Kafka, or other large-scale data platform and processing technologies.


• Familiarity with cloud platforms, CI/CD practices, and data pipeline operations.


• Experience supporting high-volume or enterprise-scale applications and services.


• Strong analytical, debugging, troubleshooting, and problem-solving abilities.


• Ability to work effectively within collaborative Agile engineering teams and cross-functional environments.


• Strong communication skills and the ability to collaborate with both technical and business stakeholders.


• Ability to quickly understand existing systems and begin contributing effectively.


• Strong delivery focus, attention to quality, and ownership of application and data engineering work.


• Knowledge of IT security best practices, including standards and controls aligned with ISO, SOC, or comparable frameworks.

• Fully remote work arrangement.


• Full-time opportunity within a technology-focused engineering environment.


• Opportunity to work on scalable backend services and data-driven enterprise systems.


• Exposure to Java, distributed systems, ETL, Spark, Kafka, cloud platforms, and modern data pipelines.


• Opportunity to contribute across software development, data engineering, integrations, and production operations.


• Collaboration with engineering and business stakeholders in an Agile environment.


• Exposure to high-volume enterprise systems and complex technical challenges.


• Opportunity to strengthen expertise in system reliability, performance, scalability, security, and maintainability.


• Participation in code reviews, technical documentation, and engineering best-practice initiatives.

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