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Engineering Manager - Search-as-a-service

India, Bengaluru · Job Posted March 01, 2026
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Job Description

We’re looking for an Engineering Manager to lead our new search-as-a-service offering within the Platform Engineering organization. This team will own and operate Elasticsearch clusters powering business-critical, non-observability use cases, like our customer facing payment search and issuing search functions. Handling massive search workloads and ensuring high availability and performance. In this role, you will establish and scale a dedicated team in Bengaluru, drive the full lifecycle management of Elasticsearch infrastructure, and deliver a seamless managed search experience for all Adyen engineers.

Job Responsibility

  • Lead and grow a high-performing search platform team
  • Bring structure and process to execution
  • Foster a culture of technical excellence
  • Scale for massive growth
  • Integrate search best practices

Requirements

  • Proven track record of managing and growing high-performing engineering teams, preferably in platform, infrastructure, or search-focused domains
  • 8+ years of experience in software engineering
  • At least 3+ years in leadership roles managing engineers
  • Deep understanding of distributed database concepts, architecture, and internals, including indexing, sharding, replication, and query optimization at scale
  • Hands-on experience managing highly-available, large-scale production databases (Elasticsearch, Apache Solr etc) clusters (e.g., 40+ clusters), including operations on bare-metal/Kubernetes, multi-region setups, and performance tuning
  • Strong engineering perspective for search/infrastructure teams, shaping technical direction, boosting reliability and performance, and delivering robust, scalable solutions with automation, developer self-service, and regional resilience
  • Comfortable diving into technical discussions to guide teams, validate decisions, and partner with infrastructure teams (compute, storage, network) to resolve issues in datacenter, on-prem, or Kubernetes environments

Nice to have

  • Prior experience in FinTech or regulated industries where reliability and security are critical
  • Familiarity with search-as-a-service models, Kubernetes operators for Elasticsearch, or open-source tools for provisioning and lifecycle management

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