LivePerson

LivePerson

LivePerson is a global leader in Conversational AI, offering real-time intelligent customer engagement solutions through their platform, LiveEngage, for over 18,000 clients worldwide.

Internet Software & Services
1K-5K
Founded 1995

Description

  • Build, lead, and grow a high-performing distributed engineering team across Europe, Israel, and India.
  • Drive a culture of ownership, accountability, and operational excellence within the organization.
  • Evolve the architecture of the near-real-time data platform across streaming, storage, indexing, and access layers.
  • Ensure platform systems are scalable, resilient, and aligned with long-term product strategy.
  • Partner with Product and Architecture to translate vision into executable roadmaps.
  • Drive delivery of microservices running on Kubernetes (GKE) across a complex distributed system.
  • Ensure predictable, high-quality releases and dependable support for production systems.
  • Lead migration from legacy Hadoop/Spark environments to modern data platforms such as Databricks.
  • Define and enforce SLOs/SLAs and own reliability, observability, and incident response processes.
  • Communicate technical strategy, trade-offs, and risks clearly to senior stakeholders and cross-functional teams.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • 10+ years of experience in software or data engineering, with strong backend or data platform experience.
  • 5+ years of experience managing engineering teams, including globally distributed organizations.
  • Strong skills in Agile methodologies.
  • Strong communication and organizational skills, including English language proficiency.
  • Proven ability to hire, grow, and retain high-performing teams.
  • Strong background in distributed systems and large-scale data platforms.
  • Hands-on experience with streaming systems such as Kafka, NoSQL databases such as Cassandra, and search/indexing systems such as Elasticsearch.
  • Deep understanding of real-time versus batch processing trade-offs.
  • Experience with big data frameworks such as Spark or MapReduce.
  • Exposure to modern data platforms such as Databricks or lakehouse architectures.
  • Experience driving platform migrations or modernization initiatives.
  • Experience operating microservices in Kubernetes environments, with GKE preferred.
  • Strong focus on reliability, scalability, and observability.
  • Experience in conversational AI, contact center platforms, or customer engagement systems is a plus.
  • Experience with Java-based microservices such as Spring Boot is a plus.
  • Familiarity with data integration patterns such as connectors, webhooks, and event-driven systems is a plus.

Benefits

  • Additional pension scheme with LivePerson contributing 20%, plus ESPP and an annual bonus depending on achievements.
  • Internet and mobile reimbursement.
  • Access to internal professional development resources.
  • Flexible paid time off, including 33 personal days, 28 vacation days, and 5 care days.
  • Paid public holidays.
  • Volunteering days for community involvement.
  • Remote-first work model with flexible work-from-anywhere arrangements and no defined working hours.
  • Office locations in Mannheim and Berlin, plus monthly in-office connection events.

Interested in this position?

Apply directly on the company website

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