Software Engineer – SaaS, Data Migration Specialist

Solen Software Group

. Plan, execute, and scale end-to-end data migrations from legacy SaaS systems into the modern cloud-native environment .

Posted 9/30/2026full-timeRemote • Utah • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in end-to-end data migration processes, including data extraction, transformation, and validation within cloud-native environments. Proficient in leveraging modern AI tools for technical specifications and automation while ensuring high availability and performance optimization in SaaS applications.

Highest-signal resume keywords

Data Migration ExpertiseSQL Server ProficiencyCI/CD Pipeline ConfigurationContainerization (Docker)Experience with AI Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

.NET / C# DevelopmentData TransformationEntity FrameworkAngularREST APIsPlaywright TestingRedisEvent-Driven MessagingCloud DeploymentsMulti-Tenant SaaS

Soft Skills

ResourcefulAdaptableSelf-MotivatedEffective Communication

Tools & Technologies

GitHub ActionsAzure DevOpsDockerCursorGitHub CopilotChatGPTRabbitMQJaegerCube.jsIdentityServer

Industry Keywords

SaaSCloud-NativeData MigrationDistributed Service ArchitectureCross-Functional Collaboration

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerEntity FrameworkGoogle Cloud PlatformJavaScriptRabbitMQRedisSQL.NET

About the role

Key responsibilities & impact

Plan, execute, and scale end-to-end data migrations from legacy SaaS systems into the modern cloud-native environment
Own data extraction, transformation, mapping, and validation pipelines
Design and automate reusable migration utilities and scripts
Use generative AI tools such as Cursor, GitHub Copilot, and ChatGPT for specification drafting, schema reverse-engineering, mapping specifications, and migration scripts
Act as the primary Tier 3 engineering contact for Professional Services and Support during complex customer onboarding scenarios
Design, build, and maintain scalable client-facing SaaS features
Generate unit tests and end-to-end test suites using Playwright
Integrate migration features into core platform capabilities
Manage containerized services and support platform maintainability
Drive high availability, performance optimization, and observability across service architectures
Collaborate with cross-functional teams and contribute to the evolution of retail banking products

Requirements

What you’ll need

3+ years of professional software development experience using .NET / C#
Deep experience writing complex queries, data transformations, and working with SQL Server and Entity Framework
Proven experience building scripts/tools for data extraction, transformation, schema mapping, and validation in SaaS platforms
Experience or strong working familiarity with Angular and modern SPA architectures
Understanding of distributed service architecture, REST APIs, and event-driven messaging systems (e.g., RabbitMQ or similar Event Bus)
Hands-on experience configuring and maintaining CI/CD pipelines (e.g., GitHub Actions, Azure DevOps) for automated building, testing, and cloud deployments
Familiarity with containerization (Docker) and configuring/deploying containerized applications in cloud environments (e.g., Azure App Service / AKS, AWS, or GCP)
Experience leveraging AI tools (e.g., GitHub Copilot, Cursor, LLMs) to generate requirements, draft technical specifications, accelerate code generation, and auto-generate unit test suites and edge-case mocks
Experience or familiarity writing and maintaining end-to-end tests using Playwright, including using AI to generate end-to-end test scripts and user flow assertions
Hands-on experience with Redis or similar caching systems
Familiarity with SignalR, WebSockets (WSS), WebRTC, or Server-Sent Events (SSE)
Prior experience in multi-tenant SaaS environments
Exposure to distributed tracing (Jaeger), analytics engines (Cube.js), or identity providers (IdentityServer)
Ability to dig into complex legacy data structures and reverse-engineer data models
Resourceful and adaptable; eager to use modern tooling and AI assistants
Highly self-motivated; willing to take end-to-end ownership of the migration process
Ability to translate complex technical migration issues to both non-technical stakeholders and core engineering team members