Senior Java Engineer – with Big Data

Short company description

At Evolve today we offer complex Human Resources services, from business consulting to headhunting and recruitment. We have extensive experience in finding talented professionals, for a variety of industries, especially in the IT sector.
We started with a dream: to create a Human Resources company with a strong, unique profile on the market, deeply shaped by our core values: commitment to performance, professionalism, a balanced approach and deep satisfaction for our clients.
From that moment, we nurtured special relationships and we continuously evolved, being flexible, but staying true to our values. We aim higher and higher and we invite you to EVOLVE with us!

Requirements

We are Evolve Today, a recruitment agency connecting top engineering talent with world-class opportunities. On behalf of our client — a global next-generation technology partner delivering intelligent, scalable digital solutions across media, finance, healthcare, and banking — we are hiring a Senior Java Backend Engineer.
Their engineering teams act as an extension of their clients’ organizations, delivering complex digital products end-to-end, from large-scale ML pipelines to production-grade microservices, with a strong focus on long-term partnerships and engineering excellence.

Role Overview

You will design and build distributed backend systems, high-throughput microservices, and large-scale data processing pipelines. This role suits a Senior Java Engineer with strong JVM expertise, deep backend fundamentals, and hands-on experience — or strong motivation — in Big Data and ML-driven systems. Expect complex architectures, high-volume data flows, and continuous integration of ML models into production.

Contract: CIM

Location: Romania (remote or hybrid from Cluj / Iași)

If you’re a senior engineer who thrives in complex distributed environments and wants to build large-scale ML systems, send your profile and let’s talk.


Mandatory Technical Skills

Strong proficiency in Java and a deep understanding of the JVM ecosystem (performance tuning, concurrency, memory model).
Solid backend engineering fundamentals: API design, microservices, observability, CI/CD.
Experience with distributed systems (horizontal scaling, resilience patterns, distributed coordination).
Enterprise-level engineering experience in data-intensive environments.
Strong command of clean code and design patterns.


Nice to Have

Big Data: Apache Spark, Spark SQL
ML Ops: ML in production, Airflow, A/B testing, AWS SageMaker
Python for data/ML workflows

Responsibilities

Technical Responsibilities

Build and optimize Java microservices with strict SLAs (latency, throughput, reliability).
Design and evolve distributed systems handling large volumes of high-velocity data.
Develop and maintain Big Data pipelines for ML training, inference, and personalization.
Integrate ML models into production with robust deployment, monitoring, and rollback strategies.
Apply clean code, design patterns, and engineering best practices in high complexity environments.
Contribute to architectural decisions involving scalability, partitioning, caching, concurrency, and fault tolerance.
Collaborate with Data Science teams to operationalize ML workloads at scale.

Benefits

• Laptop