Top Remote Jobs in Bucharest

Lead a small cross-functional product unit owning roadmap and a primary business metric. Drive hands-on product work (specs, flows, design), analyze cohorts and monetization metrics, run full build-measure-iterate loops, and incorporate UA economics into product decisions to scale engagement and revenue.

Deliver and install robotics hardware and software in warehouse sites across Europe. Perform system assembly, configuration, calibration, on-site debugging, and customer-facing technical coordination. Produce and maintain deployment and troubleshooting documentation and communicate with customers and internal teams to resolve technical issues.

Lead architecture and reliability for cloud infrastructure and Kubernetes, improve observability and IaC, drive resilience and incident response, mentor engineers, and shape the platform roadmap.

Support and enhance a live Stibo STEP Customer MDM platform for a UK financial services client. Responsibilities include configuration, customization, integrations, business rules, platform tuning, BAU support, and troubleshooting. The role requires expertise in STEP CWB, APIs, JavaScript, XML technologies, Java, ETL tools, SQL, and Customer MDM concepts such as match-merge, survivorship, and golden records. Daily communication with the UK client requires at least B2 English proficiency.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Lead a team of five QA engineers and own quality strategy across multiple desktop software product portfolios. Transform QA into a modern, automation-first, AI-enabled function; establish standards, release quality gates, and automation roadmaps; introduce AI-assisted testing; and reduce manual regression testing. The role combines people leadership with hands-on test design, execution, defect analysis, and collaboration with engineering and product teams.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.