Software Engineer – SaaS & Data Migration Specialist

Solen Software Group•Cottonwood Heights, UT

1d•Remote

About The Position

We are seeking a talented and versatile Software Engineer to join our core development team in the retail banking SaaS space. This role has a unique, high-impact growth trajectory: you will initially own, execute, and scale customer migrations from legacy platforms to our modern, cloud-native architecture. As you build and optimize repeatable migration tooling and streamline our data pipelines—leveraging modern AI-assisted engineering practices to move fast—you will naturally transition into a full-time software engineering role focused on greenfield feature development and long-term platform operations. Working as a key contributor on a small, fast-paced engineering team, you will collaborate closely with cross-functional teams, serve as a technical escalation point for migration edge cases, and directly shape the future of our retail banking products.

Requirements

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).

Nice To Haves

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).

Responsibilities

Plan, execute, and scale end-to-end data migrations from legacy SaaS systems into our modern cloud-native environment.
Own data extraction, transformation, mapping, and validation pipelines, ensuring high accuracy, zero data loss, and seamless customer onboardings.
Design and automate reusable migration utilities and scripts to improve throughput and reduce manual onboarding overhead.
Utilize generative AI tools (e.g., Cursor, GitHub Copilot, ChatGPT) to accelerate specification drafting, reverse-engineer legacy database schemas, draft mapping specs, and generate boilerplate migration scripts.
Act as the primary Tier 3 engineering contact for Professional Services and Support teams during complex customer onboarding scenarios.
Design, build, and maintain scalable client-facing features across our SaaS product portfolio using AI pair-programming tools to rapidly prototype and write production-grade code.
Leverage AI tooling to auto-generate unit tests and end-to-end (E2E) test suites using Playwright, ensuring resilient regression coverage across Angular frontend SPAs and .NET microservices.
Work directly with the engineering team to integrate migration features into core platform capabilities, manage containerized services, and support overall platform maintainability.
Drive high availability, performance optimization, and observability across real-time and domain service architectures.
Enjoy digging into complex legacy data structures and reverse-engineering data models.
Be resourceful and adaptable; eager to use modern tooling and AI assistants to increase test coverage, speed up releases, and streamline engineering workflows.
Be highly self-motivated; willing to take end-to-end ownership of the migration process and drive continuous automation improvements.
Be able to translate complex technical migration issues to both non-technical stakeholders and core engineering team members.