Sr. Software Development Manager, AWS OpenSearch Service

Job :  | Amazon Development Center U.S., Inc.

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
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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.

• 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…