Software Engineer – SaaS & Data Migration Specialist

**Software Engineer – SaaS \& Data Migration Specialist** Location: Remote \| Position Type: Full\-Time \| Department: Engineering Role Overview 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. **What You'll Do** Phase 1: Migration Engineering \& Tooling (Initial Focus) * Lead Technical Migrations: Plan, execute, and scale end\-to\-end data migrations from legacy SaaS systems into our modern cloud\-native environment. * Data Mapping \& Validation: Own data extraction, transformation, mapping, and validation pipelines, ensuring high accuracy, zero data loss, and seamless customer onboardings. * Build Repeatable Tooling: Design and automate reusable migration utilities and scripts to improve throughput and reduce manual onboarding overhead. * AI\-Assisted Delivery: 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. * Technical Escalations: Act as the primary Tier 3 engineering contact for Professional Services and Support teams during complex customer onboarding scenarios. Phase 2: Software Development \& Platform Operations (Target Evolution) * Full\-Stack Development: 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. * Automated Quality \& Testing: 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. * Architectural Evolution \& Cloud Operations: Work directly with the engineering team to integrate migration features into core platform capabilities, manage containerized services, and support overall platform maintainability. * System Operations: Drive high availability, performance optimization, and observability across real\-time and domain service architectures. **Our Architecture \& Tech Stack** You will work directly across our modern retail banking ecosystem: * Client Applications: Angular SPAs (Admin Portal, In\-Branch Kiosks, Queue Displays, Remote Check\-In, Surveys, Analytics). * Edge \& Real\-Time: BFF Orchestrator APIs and SignalR\-style MessageHub for real\-time pushing. * Domain Microservices: .NET services (Lobby, Appointment, Queue, Administration, Tenant, BulkDataOps, Notification, Report, StatCollector, Scheduler). * Containerization \& Cloud Infrastructure: Docker, Kubernetes / Container Instances, Azure cloud deployment pipelines. * CI/CD \& DevOps Pipelines: GitHub Actions, Azure DevOps pipelines, continuous integration, and automated deployment workflows. * Testing Frameworks: Playwright for E2E automation, MSTest, xUnit/NUnit for backend unit testing, Angular Jasmine/Karma. * Shared Infrastructure: Common shared kernel, SQL Server, Redis, EventBus (RabbitMQ), Jaeger tracing, and IdentityServer. * Analytics \& Extras: Cube.js, WebSocket services (WSS), Server\-Sent Events (SSE). * Engineering Tools: GitHub Copilot, Cursor, ChatGPT, or similar AI\-assisted development tools. **Key Qualifications** Required Experience * Software Development: 3\+ years of professional software development experience using .NET / C\#. * Database \& Data Pipeline Expertise: Deep experience writing complex queries, data transformations, and working with SQL Server and Entity Framework. * SaaS Migration Background: Proven experience building scripts/tools for data extraction, transformation, schema mapping, and validation in SaaS platforms. * Frontend Knowledge: Experience or strong working familiarity with Angular and modern SPA architectures. * Microservices \& Event\-Driven Systems: Understanding of distributed service architecture, REST APIs, and event\-driven messaging systems (e.g., RabbitMQ or similar Event Bus). **Preferred Qualifications** * CI/CD \& DevOps Automation: Hands\-on experience configuring and maintaining CI/CD pipelines (e.g., GitHub Actions, Azure DevOps) for automated building, testing, and cloud deployments. * Containerization \& Cloud Infrastructure: Familiarity with containerization (Docker) and configuring/deploying containerized applications in cloud environments (e.g., Azure App Service / AKS, AWS, or GCP). * AI\-Driven Productivity: 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. * Automated E2E Testing: 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. * Caching \& Performance: Hands\-on experience with Redis or similar caching systems. * Real\-Time Communication \& Streaming: Familiarity with SignalR, WebSockets (WSS), WebRTC, or Server\-Sent Events (SSE). * Domain Knowledge: Prior experience in multi\-tenant SaaS environments. * Observability \& Analytics: Exposure to distributed tracing (Jaeger), analytics engines (Cube.js), or identity providers (IdentityServer). **Soft Skills \& Cultural Fit** * Problem\-Solving Mindset: You enjoy digging into complex legacy data structures and reverse\-engineering data models. * Modern Developer Workflow: Resourceful and adaptable; eager to use modern tooling and AI assistants to increase test coverage, speed up releases, and streamline engineering workflows. * Ownership \& Initiative: Highly self\-motivated; willing to take end\-to\-end ownership of the migration process and drive continuous automation improvements. * Collaborative Communicator: Ability to translate complex technical migration issues to both non\-technical stakeholders and core engineering team members.