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Salary: USD 141,000 - 185,000 / annual
MariaDB is seeking a Senior Software Engineer to join a small, high-ownership team building robust cloud infrastructure for MariaDB Cloud, a multi-cloud Database-as-a-Service platform. You will design and implement application layers, business logic, and API workflows at the intersection of data management, cloud operations, and relational database services. This is a hands-on, end-to-end role where you will lead features from whiteboard to production, owning implementation, writing clean and scalable code, and leveraging deep expertise in cloud orchestration to ensure robust deployment across multi-cloud environments (AWS, GCP, Azure).
Key responsibilities include designing and operating multi-cloud infrastructure at scale, building and maintaining robust CI/CD pipelines, developing cloud-native applications using Go or Python, designing REST and/or gRPC APIs for external consumers, and implementing complex cloud orchestration using Terraform. You will work on critical components that enterprise applications depend on for correctness, performance, and governance. The role offers high individual impact and direct visibility into engineering strategy within a lean, intentionally small team.
Required Qualifications:
- 5+ years of professional software development experience, with at least 2 years focused on data-intensive applications, database-adjacent features, or enterprise software
- Demonstrated end-to-end ownership of a non-trivial production feature or module from specification through implementation to production
- Hands-on production experience deploying, debugging, and managing application services across at least two major public clouds (AWS, Azure, GCP)
- 8+ years of experience in software development with deep expertise in distributed systems and cloud-native architecture
- Advanced proficiency in Terraform for Infrastructure as Code (IaC) and complex cloud orchestration
- Expertise in containerization and orchestration using Kubernetes and Docker in production-grade environments
- Strong command of Go or Python for developing cloud-native applications, controllers, and automation tooling
- Experience building or integrating with vector databases, embedding pipelines, semantic search, or retrieval-augmented generation (RAG) systems
- Prior work building LLM-based applications or workflows using AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or equivalent)
- Strong proficiency in Python for AI application development, alongside high proficiency in at least one backend language (Go, Java, or C++)
- Deep, practical application of relational databases: writing complex SQL, structural indexing, query optimization, transactions, and schema design
- Experience implementing temporal data models, event-driven tracking, audit logs, or utilizing system-versioned tables
- Solid understanding of application security fundamentals: authentication, authorization, RBAC, row-level security, and multi-tenant data isolation
- Proficiency with modern application monitoring tooling: structured logging, distributed tracing (OpenTelemetry), and functional alerting
- Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems
- BS/MS in Computer Science or a related technical field
Preferred Qualifications:
- Experience contributing to or maintaining open-source projects in the database, AI/ML application, or agent-tooling ecosystem
- Hands-on experience developing MCP servers or integrating A2A (Agent2Agent) protocols into production systems
- Familiarity with agent memory frameworks such as Mem0, Graphiti, or Letta
- Experience leveraging graph databases or multi-hop graph traversal (Neo4j, Kuzu, FalkorDB, or similar)
- Background with in-memory data grids or semantic caching systems (Redis or similar) to optimize AI token usage
- Experience packaging applications for on-premises or air-gapped deployment environments
- Knowledge of MariaDB or MySQL application development, system-versioned tables, or temporal SQL
