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.