Sr. Software Development Manager, AWS OpenSearch Service

Search and analytics infrastructure is at an inflection point. Customers don't want to operate clusters anymore — they want to create a collection, point their data at it, get back sub-second query results, and trust that capacity, scaling, version upgrades, replica balancing, regional fail-over, storage cost, and live-site health are someone else's problem. They want
** a service they call, not a database they operate**.That's what we're building.

Amazon Open Search Service is the fully managed and Serverless AWS service that lets customers deploy, operate, and scale Open Search for log analytics, full-text search, application monitoring, observability, and AI-powered retrieval. We serve hundreds of thousands of customers running mission-critical workloads across every AWS region, and we are part of the AWS Database and Analytics organization.

Come lead a core engineering organization inside Amazon Open Search. We build the platform end-to-end — the orchestration, lifecycle, and multi-tenant control surfaces that make Open Search feel managed, and the query-serving, indexing, and storage engine that makes it feel fast. In practice this means:

- Every API customers call to create, configure, scale, upgrade, or recover their search infrastructure — plus the multi-region orchestration workflows behind those APIs
- Query serving, indexing throughput, vector and kNN retrieval, Lucene/JVM tuning, and the sharded storage layer that customers feel in query latency and cost per terabyte scanned
- Multi-tenant isolation, blast-radius containment, and the operational discipline required to run this at AWS scale, across every AWS commercial and Gov Cloud region

You'll own a multi-team engineering organization inside that charter, along with a multi-year roadmap that advances Open Search across all of those fronts.

Our platform:

- Reliably manages a large fleet of cloud-native Open Search clusters and collections, freeing customers from sizing, scaling, and patching decisions
- Guarantees high availability and durability for mission-critical search and observability workloads at the scale of the most demanding internet businesses
- Serves search, analytics, and AI-powered retrieval workloads across petabytes of customer data, at query latencies and ingestion throughput that raise the bar every quarter
- Orchestrates and automates the complete lifecycle of an Open Search cluster or collection — from creation through scale-up, scale-out, upgrade, replication, and fail-over

The Open Search platform is not just any distributed system. It orchestrates a fleet of clusters across every AWS region and recovers from node failures in seconds; it serves workloads that span petabytes of customer data and hundreds of millions of documents. Most recently, we launched
** Open Search Serverless Next Gen** — delivering ultra-fast collection provisioning and true scale-to-zero capacity. We are not done; this is one of many investments raising the bar across the whole platform.### What you'll lead
- ** A multi-team engineering organization
** inside Open Search, responsible for the platform capabilities customers depend on to run search and analytics at scale
- ** A multi-year technical strategy
** that advances Open Search on the fronts customers feel most — provisioning speed, lifecycle automation, query latency, indexing throughput, and the path toward AI-powered retrieval and unified multi-tenant service delivery
- ** The operational health
** of a service that runs in every AWS commercial and Gov Cloud region, with customer-impacting incidents getting the same engineering rigor as feature work
- ** A team of SDMs and senior ICs** — you hire, grow, and (when needed) reshape the org. Your most lasting contribution is the next…