Senior Software Engineer – AI Platform

MariaDB

Senior Software Engineer building AI application layers, APIs, and data services for MariaDB’s widely deployed relational database engine. Deploying scalable features across multi-cloud and on-premises environments.

Posted 8/4/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the software development lifecycle, focusing on data-intensive applications and cloud deployment. Proficient in building secure, scalable applications with a strong emphasis on performance optimization and multi-tenant data management.

Highest-signal resume keywords

Full Software Development LifecycleAI Agent FrameworksCloud Deployment (AWS, Azure, GCP)Python ProgrammingData Model Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoJavaC++SQLREST APIsGRPC APIsVector DatabasesQuery OptimizationData Classification

Soft Skills

MentoringCollaborationDecision-MakingCustomer InteractionAsync Communication

Tools & Technologies

AWSAzureGCPOpenTelemetryCI/CD PipelinesLangChainLangGraphCrewAIAutoGenMCP

Industry Keywords

Multi-Tenant IsolationAuditabilityData SecurityEvent-Driven TrackingRBAC

Tech Stack

Tools & technologies

AWSAzureGoGoogle Cloud PlatformGRPCJavaMariaDBPythonSQL

About the role

Key responsibilities & impact

Lead the full software development lifecycle from application design and API implementation through deployment and feature monitoring
Connect production applications with AI agent frameworks such as LangChain and interoperability protocols such as MCP and A2A
Develop secure, versioned application data models enforcing multi-tenant isolation, auditability, and data classification
Build services deploying consistently across AWS, Azure, GCP, and on-premises environments using automated CI/CD pipelines
Define and meet feature-level performance goals through query optimization, code profiling, caching, and security practices
Own application components, facilitate design and code reviews, mentor team members, and drive decisions in an async-first environment
Interact directly with customers and product leadership while owning meaningful system components end-to-end

Requirements

What you’ll need

5+ years of professional software development experience, including at least 2 years focused on data-intensive applications, database-adjacent features, or enterprise software
End-to-end ownership of a non-trivial production feature or module from functional specification through production
Production experience deploying, debugging, and managing application services across at least two major public clouds, including AWS, Azure, or GCP
Experience with vector databases, embedding pipelines, semantic search, or retrieval-augmented generation systems
Experience building LLM-based applications or workflows using AI agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
Strong proficiency in Python and high proficiency in at least one backend language such as Go, Java, or C++
Proficiency with relational databases, complex SQL, structural indexing, query optimization, transactions, and schema design
Experience implementing temporal data models, event-driven tracking, audit logs, or system-versioned tables
Understanding of authentication, authorization, RBAC, row-level security, and multi-tenant data isolation
Proficiency with structured logging, distributed tracing with OpenTelemetry, and functional alerting
Experience designing and implementing REST and/or gRPC APIs
MariaDB does not sponsor work visas or relocation

Benefits

Comp & perks

25 days paid annual leave plus holidays
Massive degree of flexibility and freedom
Competitive compensation package
Learning and growth opportunities
Disability accommodations within the application and interview process