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Senior Java Engineer – with Big Data

Undelucram.ro

3.7
13 reviews
Undelucram.ro
Job Type   /   Job Level
Full-time   /   Manager
Job Location
Romania
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Undelucram.ro on behalf of:

Evolve Today

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 high‑scale ML systems, send your profile and let’s talk.

Technical Responsibilities

  • Build and optimize Java microservices with strict SLAs (latency, throughput, reliability).
  • Design and evolve distributed systems handling large‑volume, 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.

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
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