Senior Developer - AI Platform

MariaDB
India
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 7+ yearsSkills: ["Ownership mindset","Code reviews","Mentoring","Async collaboration","Proactive security"]

Build end-to-end application capabilities that connect MariaDB-based data management with enterprise AI workloads. You’ll design APIs and business logic, integrate AI agent frameworks (e.g., LangChain) with interoperability protocols, and develop secure multi-tenant data models. Own feature implementation from whiteboard to production, shipping and monitoring services that deploy consistently across AWS, Azure, GCP and on-prem, with strong performance, security, and observability.

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FursaFursa
MariaDB
MariaDB
3 days ago

Senior Developer - AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build end-to-end application capabilities that connect MariaDB-based data management with enterprise AI workloads. You’ll design APIs and business logic, integrate AI agent frameworks (e.g., LangChain) with interoperability protocols, and develop secure multi-tenant data models. Own feature implementation from whiteboard to production, shipping and monitoring services that deploy consistently across AWS, Azure, GCP and on-prem, with strong performance, security, and observability.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead end-to-end feature development from application design and API implementation through deployment and feature monitoring.
  • •Integrate production applications with agent frameworks (e.g., LangChain) and interoperability protocols (e.g., MCP, A2A) to deliver scalable APIs.
  • •Develop secure, versioned application data models enforcing multi-tenant isolation, auditability, and data classification using relational database features.
  • •Build application services that deploy consistently across AWS, Azure, GCP, and on-premises, using automated CI/CD pipelines.
  • •Drive performance and reliability through query optimization, profiling, caching strategies, security practices, and monitoring.

Pay and Benefits

Perks:Paid Leave

Key Requirements

  • •7+ years of professional software development, including at least 2 years focused on data-intensive applications or enterprise software.
  • •Demonstrated end-to-end ownership of a production feature from specification through production.
  • •Hands-on experience deploying and managing application services across at least two public clouds (AWS, Azure, GCP).
  • •Experience building or integrating vector databases, embedding pipelines, semantic search, or RAG systems.
  • •Hands-on work building LLM-based applications/workflows using AI agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
Experience:7+ yearsEnterprise softwareAI/MLCloudVector databasesRAG
Skills:Ownership mindsetCode reviewsMentoringAsync collaborationProactive security
Languages:English
Tech Stack:PythonGoJavaC++SQLAWSAzureGCPLangChainLangGraphMCPA2ACrewAIAutoGenOpenTelemetryRESTGRPCNeo4jKuzuFalkorDB

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

MariaDB
Provides an open-source relational database platform and enterprise-grade database solutions, offering MariaDB Server, MariaDB SkySQL (DBaaS), and tools for high-performance, scalable data management and analytics.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Funding: Series C
Headquarters: Helsinki, Finland
Founded: 2009
WebsiteLinkedIn