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# Solutions Engineer

- **Company:** QDRANT SOLUTIONS INC.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Computer Engineering, DevOps, Distributed Systems, Elasticsearch, Python (Programming Language), Open Source Technology, Search Technologies, Apache Solr, Scripting, Kubernetes, Search Engines
- **Published:** September 23, 2026
- **Apply:** https://startup.jobs/solutions-engineer-us-qdrant-tech-10151989

## About the Role

* 2-4 years of technical, customer-facing experience in Sales Engineering, Solutions Architecture, or Technical Consulting.
 * Background in data science, computer engineering, or a previous DevOps role.
 * Scripting ability in Python or Bash, used to validate business value rather than for its own sake.
 * Ability to calculate total cost of ownership (TCO) and estimate hardware requirements (RAM, CPU, disk) for distributed systems.
 * Experience with Kubernetes and cloud platforms (AWS, GCP, or Azure), and how infrastructure choices affect cost and performance.
 * Strong communication skills: comfortable explaining technical concepts to both engineers and business stakeholders.

Nice to have

 * Experience with vector databases or search technologies (Elasticsearch, Solr, OpenSearch, Lucene, or similar).
 * Exposure to enterprise procurement processes, infosec questionnaires, or MSA redlines.

## Description

* Support the Technical-to-Commercial Translation: Help translate architectural requirements (Multi-AZ, sharding, replication) into accurate pricing models and contract terms, working alongside senior team members to protect deal value.
 * Help Drive Deal Execution: Coordinate with Support, Product, and Engineering to unblock proofs of concept (POCs), and keep the technical sales workflow moving in Jira and Salesforce.
 * Flag Deployment Risks Early: Learn to spot noisy neighbour issues, latency bottlenecks, and resource contention before they affect renewals or expansions.
 * Support Architectural Reviews and Migration Assessments: Join discovery sessions to help validate use cases and map migration paths from legacy search engines like Elastic, Solr, and OpenSearch to Qdrant.
 * Contribute to Resilient Architecture Design: Help spec high-availability search clusters that meet customer SLAs and throughput needs.
 * Build Trust with Client Stakeholders: Act as a technical point of contact during the evaluation process, helping customers reach value quickly.


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