Java Developer – Big Data Processing
TypeFull-time job
LocationRomania
Posted1 hour ago
About the role
We are building the next generation of large-scale recommendation and personalization platforms that power data-driven experiences across multiple business domains.
As a Senior Java Engineer, you will operate at the intersection of distributed systems, high-volume data processing, and production machine learning. This role is designed for engineers who thrive in complex environments, enjoy solving deep scalability challenges, and want to influence architecture and engineering excellence at scale.
You will play a key role in bridging data science innovation with reliable production systems, enabling high-performance ML pipelines and resilient microservice architectures that serve millions of users.
What you'll do
Design, develop, and maintain high-performance backend services using Java and Spring Boot
Build and optimize large-scale data processing pipelines using Apache Spark and Spark SQL
Contribute to the architecture and implementation of distributed systems and data-driven platforms
Collaborate closely with data scientists and ML engineers to productionize machine learning models
Develop and maintain high-scale recommendation and personalization engines
Ensure clean, maintainable, and well-tested code, applying best practices and design patterns
Improve system performance, scalability, and reliability in enterprise production environments
Participate in technical design discussions and contribute to long-term platform evolution
Support orchestration and automation of data workflows
Mentor engineers and promote strong engineering standards within the team
What we're looking for
Strong hands-on experience with Java and backend engineering
Solid knowledge of design patterns, clean code principles, and software architecture
Proven experience building and operating distributed systems
Strong experience within the JVM ecosystem
Practical experience with Big Data processing, including: Apache Spark, Spark SQL
Mandatory experience working in enterprise-level production environments
Experience building scalable backend platforms and microservices
Strong problem-solving mindset and ownership attitude
Nice to have
Experience deploying machine learning models in production environments
Knowledge of Python
Experience with Apache Airflow for data orchestration
Understanding of A/B testing methodologies
Exposure to AWS SageMaker
Experience with cloud-based data platforms and ML pipelines
Perks and benefits
Private medical insurance
National holidays off, even when falling on weekends
Loyalty leave: +1 day/year
Continuous professional development opportunities
Sports subscription programs
Referral bonuses for bringing in new talent
Meal tickets
Bookster subscription for reading & learning
Community and team-building events
Flexible and unlimited remote work policy
Originally posted on Himalayas
We are building the next generation of large-scale recommendation and personalization platforms that power data-driven experiences across multiple business domains.
As a Senior Java Engineer, you will operate at the intersection of distributed systems, high-volume data processing, and production machine learning. This role is designed for engineers who thrive in complex environments, enjoy solving deep scalability challenges, and want to influence architecture and engineering excellence at scale.
You will play a key role in bridging data science innovation with reliable production systems, enabling high-performance ML pipelines and resilient microservice architectures that serve millions of users.
What you'll do
Design, develop, and maintain high-performance backend services using Java and Spring Boot
Build and optimize large-scale data processing pipelines using Apache Spark and Spark SQL
Contribute to the architecture and implementation of distributed systems and data-driven platforms
Collaborate closely with data scientists and ML engineers to productionize machine learning models
Develop and maintain high-scale recommendation and personalization engines
Ensure clean, maintainable, and well-tested code, applying best practices and design patterns
Improve system performance, scalability, and reliability in enterprise production environments
Participate in technical design discussions and contribute to long-term platform evolution
Support orchestration and automation of data workflows
Mentor engineers and promote strong engineering standards within the team
What we're looking for
Strong hands-on experience with Java and backend engineering
Solid knowledge of design patterns, clean code principles, and software architecture
Proven experience building and operating distributed systems
Strong experience within the JVM ecosystem
Practical experience with Big Data processing, including: Apache Spark, Spark SQL
Mandatory experience working in enterprise-level production environments
Experience building scalable backend platforms and microservices
Strong problem-solving mindset and ownership attitude
Nice to have
Experience deploying machine learning models in production environments
Knowledge of Python
Experience with Apache Airflow for data orchestration
Understanding of A/B testing methodologies
Exposure to AWS SageMaker
Experience with cloud-based data platforms and ML pipelines
Perks and benefits
Private medical insurance
National holidays off, even when falling on weekends
Loyalty leave: +1 day/year
Continuous professional development opportunities
Sports subscription programs
Referral bonuses for bringing in new talent
Meal tickets
Bookster subscription for reading & learning
Community and team-building events
Flexible and unlimited remote work policy
Originally posted on Himalayas
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