Lead Software Engineer (.Net Core + LLM's)

Lead implementation across multiple concurrent projects — translate architecture from our dedicated architects into technical plans, code-level designs, and shipped software.

Design and ship production C#/.NET services and REST APIs serving high-volume payment data under PCI DSS constraints.

Build and evolve client-facing web applications in React and TypeScript, from component architecture through API integration.

Contribute hands-on to our LangGraph-based agentic application — agent orchestration, tool integration, and the engineering discipline (testing, evals, observability) that makes LLM-powered systems production-worthy.

Own engineering standards across teams: code review culture, automated testing discipline (unit, integration, end-to-end), and CI/CD practices in Azure DevOps.

Deploy and operate services on AKS across Azure and our dual on-premises datacenters, partnering with DevOps on infrastructure and release engineering.

Mentor the engineers on your team — data platform, DevOps, and application developers — through code review, pairing, and design collaboration.

Champion AI-assisted development (Claude Code, Cursor, GitHub Copilot) — help define, document, and enforce team standards for using these tools well.

Participate in design reviews and ADR discussions with the architecture team, bringing an implementer’s perspective.

Guide your team’s data platform work at the integration boundaries between application workstreams and the Microsoft Fabric data estate.

8+ years of professional software engineering experience, including 2+ years as a tech lead or equivalent — setting direction for other engineers, not just yourself.

Expert-level C#/.NET — ASP.NET Core, REST API design, microservices patterns, and the judgment to know when not to use them.

Strong TypeScript/JavaScript skills with production React experience.

Solid Azure and Kubernetes (AKS) experience — containers, deployment patterns, and CI/CD with Azure DevOps.

Strong relational database skills — schema design, query performance tuning, and transactional correctness on OLTP workloads, with the SQL fluency to work comfortably against analytical endpoints in the Fabric estate.

Distributed-systems fundamentals: API design, idempotency, failure modes, and data consistency across service boundaries.

A demonstrated ability to raise a team’s engineering bar — through code review, testing discipline, and clear written technical design.

Genuine enthusiasm for AI-assisted and AI-native development. You don’t need to have shipped an LLM product, but you need to be curious, current, and unafraid of the tooling shift.

Hands-on experience building LLM-powered or agentic applications — LangGraph/LangChain, RAG pipelines, agent orchestration, vector search, LLM evaluation, or MCP-based tool integration. Strongly preferred.

Python proficiency — recommended, given our agentic and ingestion work.

Payments or financial services domain background; PCI-scoped system experience.

Messaging and eventing patterns — Azure Service Bus, Event Hubs, or Kafka.

Observability practice — OpenTelemetry, Application Insights, Grafana/Prometheus.

Identity standards — OAuth2/OIDC, Microsoft Entra ID.

Familiarity with our adjacent stack: Airflow, Kogito/DMN, OpenBao, Terraform.

Awareness of Microsoft Fabric / Delta Lake concepts (you won’t own the data platform, but you’ll integrate with it).

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.

Full-time