Senior Software Engineer - Cloud Platform Engineering
Company websitemariadb.com (MariaDB plc, opens in new tab)
Base salary $141K to $185K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
About MariaDB
Are you ready to shape the infrastructure for a groundbreaking cloud database platform? MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
MariaDB Cloud is revolutionizing the way businesses manage their data in the cloud. We're on a mission to provide a seamless, powerful, and user-centric Database-as-a-Service (DBaaS) solution that sets new industry standards. MariaDB Cloud is a Multi-cloud Database-as-a-Service platform offering, specializing in managing MariaDB, one of the most popular open-source relational database systems.
MariaDB Cloud is more than just a database; it's a comprehensive and innovative platform that delivers continuous availability, autonomous operation, and serverless capabilities. We're redefining the database experience to make it more accessible, intuitive, and efficient than ever before.
The Opportunity
About the Role
We are seeking a Senior Software Engineer to join a small, high-ownership team building robust cloud infrastructure for our globally deployed relational database engine. You will design and implement the application layers, business logic, and API workflows at the intersection of data management, cloud operations, and relational database services—critical components that enterprise applications depend on for correctness, performance, and governance. This is a hands-on, end-to-end role. 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. Proficiency in Terraform is essential for managing our complex infrastructure and ensuring reproducible deployments. Our team is small by design, offering high individual impact and direct visibility into engineering strategy. The ideal candidate has scaled infrastructure across multiple cloud providers and approaches every challenge with an ownership mindset—shipping production-grade systems that set new industry standards.
Key Responsibilities
- 8+ years of experience in software development with deep expertise in distributed systems and cloud-native architecture.
- Proven track record of designing and operating multi-cloud infrastructure at scale across AWS, GCP, and Azure.
- 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.
- Experience building and maintaining robust CI/CD pipelines for automated, scalable deployments.
- Strong command of Go or Python for developing cloud-native applications, controllers, and automation tooling.
- BS/MS in Computer Science or a related technical field.
- Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems.
- Knowledge of MariaDB server is a plus.
Required Qualifications
Experience
- 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: you have taken something from functional 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).
- 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).
Technical Skills
- Strong proficiency in Python for AI application development, alongside high proficiency in at least one backend language (such as 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 at the application layer.
- 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.
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) within applications.
- 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, including regulated infrastructure.
- Knowledge of MariaDB or MySQL application development, system-versioned tables, or temporal SQL.
Location & Job Info
Full-Time - Remote - US
Why Join Us
Compensation
The annual anticipated U.S. base salary range for this full-time position is $141,000-$185,000. Actual salaries may vary and fall outside of this range depending on factors such as a candidate’s qualifications, geographic location, skills, experience, and competencies.
In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than the job description as posted. Salary is one component of MariaDB’s total rewards package. We provide a competitive benefits package. Additional benefits includes health insurance, life, and disability insurance, funds toward professional development resources, Flexible Paid Time Off (FPTO), paid holidays, 401(k), and parental leave, a massive degree of flexibility and freedom, just to name a few!
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
- At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
- MariaDB does not sponsor work visas or relocation.
- MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
- MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Source: MariaDB plc on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($141,000) is above 27% of the 10,158 Software Engineering roles nationwide listed on this site; 15 others list the same floor. Their median floor is $161,000; the middle half runs from $140,000 to $191,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSenior Software Engineer - Cloud Platform Engineering$141K to $185K
Senior Site Reliability Engineer - Cloud Database Platform$150K to $205K
Chart as a table
| Role | Published base |
|---|---|
| Senior Software Engineer - Cloud Platform Engineering (this listing) | $141K - $185K |
| Senior Site Reliability Engineer - Cloud Database Platform | $150K - $205K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-09-23
Where this pay comes from
Location as the employer wrote it: Remote - US
The annual anticipated U.S. base salary range for this full-time position is $141,000-$185,000. Actual salaries may vary and fall outside of this range de
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
