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.

Benefits

• 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.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.