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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