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Sr Solution Architect

Couchbase, Inc.
Karnataka, IND
Onsite
Discovered 1 months ago
Enterprise software consultingSQL, NoSQL, or distributed databasesAWS, Azure, or GCPCloud troubleshooting and performance tuningApplication design and developmentRDBMS schema modeling and configuration

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About Couchbase

Couchbase describes itself as an operational data platform for operational, analytical, mobile, and AI workloads.

Its platform is presented as a unified alternative to legacy infrastructure and fragmented data services, supporting performance, flexibility, and scale.

The company says its technology supports customer experiences, AI use cases, and applications spanning cloud and edge environments.

Role overview

The Solutions Architect advises customers on realizing value from Couchbase through architectural guidance and hands-on professional services.

The role works with enterprise customer engineering teams on data challenges and AI-ready architectures from design through production.

Customer architecture and delivery

  • Lead short- to medium-term on-site and remote engagements covering architecture and use-case reviews, sizing, performance tuning, and deployment topology planning.
  • Troubleshoot technical challenges with customers from initial design through production operations, escalating when necessary.
  • Support implementation phases including installation, topology planning, and operational best practices.

AI and platform solutions

  • Help customers implement AI solutions and data-platform best practices using Couchbase indexing, SQL++, Full-Text Search, Vector Search, and Columnar technologies.

Advisory and collaboration

  • Explain architectural concepts to developers, architects, and C-level managers as a technical product expert.
  • Contribute to internal software development, benchmarking, and troubleshooting projects.
  • Partner with sales and pre-sales on technical escalations and growth opportunities within existing accounts.
  • Write reference architectures, whitepapers, and best-practice guides for internal and external audiences.

Experience and technical qualifications

  • 5+ years of enterprise back-end software consulting experience focused on SQL, NoSQL, or distributed databases.
  • 2+ years working with AWS, Azure, or GCP, including cloud troubleshooting and performance tuning.
  • Strong foundation in application design and development; familiarity with traditional RDBMS schema modeling and configuration.
  • Experience engaging with developers and using AI-assisted development or evaluation techniques such as Gemini or Claude.
  • A rigorous troubleshooting approach and record of resolving complex end-to-end technical issues.

Communication and education

  • Strong presentation and communication skills for technical and non-technical stakeholders.
  • BSc in Computer Science, Engineering, or an equivalent technical field.
  • Fluency in English is required.

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