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Software Development Engineer 4

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Software Development Engineer 4 in Others new

  • Bengaluru, India

Responsibilities

  • Analyze, refactor, and modernize complex SQL Server stored procedures and embedded business logic.
  • Write migration scripts, preserve data integrity, and implement CDC, outbox, and event-publishing patterns.
  • Optimize queries, execution plans, indexes, locking, and database performance.
  • Build embedding pipelines, vector database implementations, synchronization processes, semantic search, and RAG retrieval infrastructure.
  • Develop ETL/ELT pipelines and data integrations across SQL Server, PostgreSQL, Snowflake, cloud data services, and NoSQL systems.
  • Implement database provisioning and configuration using infrastructure-as-code such as Terraform and ARM/Bicep.
  • Create data quality checks, validation, observability, automated migration tests, and deployment workflows.
  • Use AI coding assistants and develop AI-powered tooling for stored procedure analysis, schema documentation, and migration assistance.
  • Partner with application and AI/ML engineers, participate in reviews and on-call support, document solutions, and mentor junior engineers.

Requirements

  • 8–12 years of experience in database engineering or data platform roles, including strong SQL Server experience.
  • Deep T-SQL proficiency covering complex queries, stored procedures, functions, performance tuning, and execution-plan analysis.
  • Hands-on experience modernizing legacy database code through refactoring and migration.
  • Experience developing ETL/ELT workflows, data integrations, batch processing, and streaming workflows.
  • Programming proficiency in Python or C# for tooling, automation, and data processing.
  • Experience with Azure SQL, Cosmos DB, Snowflake, or AWS data services.
  • Familiarity with vector databases such as Pinecone, Weaviate, pgvector, or Azure AI Search.
  • Understanding of embeddings, RAG concepts, similarity search, and retrieval patterns, with experience or willingness to learn embedding pipeline development.
  • Strong knowledge of database internals, indexing, query optimization, locking, and transaction isolation.
  • Experience with event-driven patterns, Kafka, infrastructure-as-code, version control, database migrations, schema versioning, and deployment automation.
  • Familiarity with NoSQL document databases and key-value stores.
  • Preferred qualifications include regulated-industry experience, Oracle PL/SQL experience, hands-on RAG or semantic-search development, database tooling or open-source data contributions, and data observability experience.

Benefits

  • The role includes a 90-day, 6-month, and 12-month development roadmap covering onboarding, stored procedure modernization, embedding or vector implementations, production RAG infrastructure, AI tooling, architectural contributions, and mentoring.
  • Contributes to AI-native data infrastructure and legacy modernization work with exposure to database engineering, vector technologies, and AI-assisted development.
  • Participation in an on-call rotation for data platform issues may be required.

WEX

WEX (NYSE: WEX) is the global commerce platform that simplifies the business of running a business. WEX has created a powerful ecosystem that offers seamlessly embedded, personalized solutions for its customers around the world. Through its rich data and specialized expertise in simplifying benef...

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