Senior Software Engineer – Cloud Platform Engineering

MariaDB

. Design and implement application layers, business logic, and API workflows for cloud infrastructure and relational database services .

Posted 9/23/2026full-timeRemote • United StatesSenior💰 $141,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing cloud-native applications and multi-cloud infrastructure, with a strong focus on relational databases and API development. Proficient in leveraging advanced tools and methodologies for CI/CD, containerization, and cloud orchestration.

Highest-signal resume keywords

Cloud-Native ArchitectureMulti-Cloud Infrastructure DesignTerraform for Infrastructure as CodeCI/CD Pipeline DevelopmentAPI Development (REST/gRPC)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Go ProgrammingPython ProgrammingSQLKubernetesDockerRelational Database DesignEvent-Driven TrackingVector DatabasesLLM-Based ApplicationsCloud Orchestration

Soft Skills

CollaborationOwnershipProblem-Solving

Tools & Technologies

AWSGCPAzureTerraformKubernetesDockerOpenTelemetryMariaDB

Certifications & Qualifications

BS/MS in Computer Science

Industry Keywords

Distributed SystemsCloud InfrastructureCI/CDAutomation ToolingSecurity Controls

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGRPCJavaKubernetesMariaDBPythonSQLTerraformC++Go

About the role

Key responsibilities & impact

Design and implement application layers, business logic, and API workflows for cloud infrastructure and relational database services
Lead features end-to-end from whiteboard through production
Write clean, scalable, production-grade code
Leverage cloud orchestration expertise for robust multi-cloud deployments
Build robust cloud infrastructure for a globally deployed relational database engine
Develop cloud-native applications, controllers, and automation tooling
Design and operate multi-cloud infrastructure across AWS, GCP, and Azure
Build and maintain CI/CD pipelines for automated, scalable deployments
Deploy, debug, and manage application services across public clouds
Build or integrate vector databases, embedding pipelines, semantic search, and RAG systems
Build LLM-based applications or workflows using AI agent frameworks
Implement relational database features including SQL, indexing, query optimization, transactions, and schema design
Implement temporal data models, event-driven tracking, audit logs, and security controls
Implement REST and/or gRPC APIs for external consumers or frontend systems
Collaborate within a small, high-ownership team with direct visibility into engineering strategy

Requirements

What you’ll need

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
Strong command of Go or Python for 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
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
Hands-on production experience across at least two major public clouds (AWS, Azure, GCP)
Experience with vector databases, embedding pipelines, semantic search, or RAG systems
Prior work building LLM-based applications or workflows using AI agent frameworks
Strong proficiency in Python and high proficiency in at least one backend language such as Go, Java, or C++
Deep practical knowledge of relational databases, complex SQL, indexing, query optimization, transactions, and schema design
Experience with 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, OpenTelemetry, and alerting
Knowledge of MariaDB server is a plus

Benefits

Comp & perks

Health insurance
Life insurance
Disability insurance
Funds toward professional development resources
Flexible Paid Time Off (FPTO)
Paid holidays
401(k)
Parental leave
A massive degree of flexibility and freedom