About the Role Aperia is hiring a mid-senior level software engineer to join the team building our next-generation risk analysis and scoring platform, with opportunities to contribute across our wider product portfolio - the AI-powered ingestion platform, residuals and compliance products, and client-facing web applications. You'll work under the technical direction of our Lead Software Engineer, alongside a Senior Data Platform Engineer and a Senior DevOps engineer, with big-picture system design owned by dedicated architects. It's a deliberately small, senior-leaning team - which means real features, real code review, and real growth, not ticket-grinding.
Day to day, you'll build production C#/.NET services and REST APIs, develop React frontends for client-facing applications, and contribute to our Python-based agentic work as you grow into it. This is a role for an engineer with a few strong years behind them who wants to level up fast: you'll get direct mentorship from senior engineers, exposure to a modern Azure/Kubernetes platform, and a team culture that treats AI-assisted development as a first-class skill.
What You'll Do - Build and ship production C#/.NET services and REST APIs serving high-volume payment data under PCI DSS constraints.
- Develop client-facing web application features in React and TypeScript, from component work through API integration.
- Own well-scoped features end to end on the risk platform build - design discussion, implementation, code review, testing, and deployment.
- Contribute to our LangGraph-based agentic application - tool integrations, tests, and evals - growing your Python and LLM-engineering skills along the way.
- Write automated tests (unit, integration, end-to-end) as part of everyday development, and participate actively in code review - giving feedback, not just receiving it.
- Ship through Azure DevOps CI/CD pipelines to AKS, with support from the team's DevOps engineer.
- Use AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) as a core part of your workflow, following documented team standards.
- Pair with senior engineers and participate in design reviews, growing toward ownership of larger workstreams across the portfolio.
What You Bring - 3-5 years of professional software engineering experience shipping production systems.
- Solid C#/.NET skills - ASP.NET Core, REST API design, and comfort working in an established service architecture.
- Working proficiency in TypeScript and React, with production frontend experience.
- Relational database fundamentals - schema design, sensible queries, and an understanding of transactions.
- A habit of testing your own work - you write meaningful tests without being asked and treat code review as part of the craft.
- Clear written and verbal communication - you can explain a technical decision, ask good questions, and take feedback well.
- Comfort working in a cloud environment - you can follow a deployment through a CI/CD pipeline and debug what's yours, even if you don't own the infrastructure.
- Genuine enthusiasm for AI-assisted and AI-native development. You don't need LLM production experience, but you should be curious, current, and eager to build with these tools.
Nice to Have - Exposure to building with LLMs - LangGraph/LangChain, RAG, prompt engineering, or even serious personal projects. We'd rather see curiosity and momentum here than years of experience.
- Python proficiency beyond scripting.
- Hands-on Azure experience - AKS/Kubernetes, App Services, or Azure DevOps administration.
- Payments or financial services background; any exposure to PCI-scoped systems.
- Familiarity with messaging patterns (Azure Service Bus, Event Hubs, Kafka) or observability tooling (OpenTelemetry, Application Insights).
- OAuth2/OIDC or other identity standards experience.
Why Aperia - Portfolio-wide technical influence - the code and engineering standards you set shape multiple products serving a multi-hundred-million-dollar industry, and they ship to production.
- Direct working relationship with the SVP of Research & Development; small senior teams; minimal bureaucracy.
- Genuine engineering culture - technical correctness valued over slideware; extensive design documentation; real design reviews; ADR discipline.
- Explicit team commitment to AI-assisted development (Claude Code, Cursor, GitHub Copilot) - treated as a first-class productivity multiplier, not a novelty. Team standards documented and enforced.
- Modern tech stack: C#/.NET, React, TypeScript, Python, LangGraph, Azure, AKS, Kubernetes, Azure DevOps, Airflow, Microsoft Fabric, Kogito/DMN, OpenBao.
Job TypeSchedule- Hybrid / Monday to Friday
Work LocationBenefits- Health insurance
- Health savings account
- Dental insurance
- Vision insurance
- 401(k) matching
- Life insurance
- Paid time off
- Parental leave
- Disability insurance
- Childcare assistance
- Education reimbursement
- Fitness membership
- Volunteer time off
