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

Posted Yesterday
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Dallas, TX, USA
In-Office
Senior level
Information Technology • Software
The Role
Leads hands-on software implementation across risk, AI ingestion, compliance, and client-facing platforms. Designs and ships C#/.NET services, REST APIs, React and TypeScript applications, and contributes to Python and LangGraph agentic systems. Establishes engineering standards for code reviews, testing, CI/CD, Azure and Kubernetes deployments, and observability. Mentors engineers, participates in architecture and ADR reviews, and guides integrations with Microsoft Fabric while working across Azure and on-premises environments.
Summary Generated by Built In

About Aperia Solutions 

Aperia Solutions is a leading payments SaaS company headquartered in Dallas, Texas. We build risk management, residuals accounting, compliance, and analytics platforms used by merchant banks, ISOs, payment processors, and other participants in the credit card payments ecosystem. Operating under PCI DSS 4.0 compliance across dual on-premises datacenters (Allen, TX and Chicago, IL) plus Azure cloud, we process high-volume payment data for some of the industry’s largest players. 

We’re in the middle of a significant platform modernization program: a next-generation risk analysis and scoring platform on Microsoft Fabric, an AI-powered ingestion platform, new AI-native applications, and ongoing evolution of the products our clients rely on every day. The teams executing this work are deliberately small and senior, with executive-level support and minimal bureaucracy. Every senior hire is a founding contributor to the architecture and the code. 

About the Role 

This is a hands-on technical leadership role spanning the breadth of Aperia’s product portfolio: the risk platform build, the AI-powered ingestion platform, our residuals and compliance products, client-facing web applications, and a new LangGraph-based agentic application. You’ll report directly to the SVP of Research & Development and act as the connective tissue across these workstreams — leading implementation, driving code-level design decisions, and reviewing designs and code across teams. 

This is not a people-management position, and you won’t be working alone at the whiteboard — Aperia has dedicated architects who own the big-picture system design. Your job is to turn that design into shipped, production-quality software and to set the engineering standard for how it gets built. You’ll lead the risk platform build team — a Senior Data Platform Engineer, a Senior DevOps engineer, and a mid-level developer — while spending most of your time in the code yourself: shipping production C#/.NET services, building React frontends, and contributing to our Python-based agentic work. You lead by technical judgment and example, working closely with our architects where workstreams meet. 

What You’ll Do 

  • 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. 

What You Bring 

  • 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. 

Nice to Have 

  • 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). 

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.  

Eligibility Requirements

  • Must be willing to submit to a background investigation and drug test as part of the selection process.

Job Type

  • Full-time

Schedule

  • Hybrid / Monday to Friday 

Work Location

  • Dallas, TX

Benefits

  • 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

 

Skills Required

  • 8+ years of professional software engineering experience
  • 2+ years as a technical lead or equivalent
  • Expert-level C# and .NET, including ASP.NET Core, REST API design, and microservices patterns
  • Strong TypeScript and JavaScript skills with production React experience
  • Azure and Kubernetes experience, including containers, deployment patterns, and Azure DevOps CI/CD
  • Strong relational database skills, including schema design, query performance tuning, transactional correctness, and SQL
  • Distributed-systems fundamentals, including API design, idempotency, failure modes, and data consistency
  • Ability to improve engineering standards through code review, testing discipline, and technical design
  • Curiosity and current knowledge of AI-assisted and AI-native development
  • Hands-on LLM-powered or agentic application experience with technologies such as LangGraph, LangChain, RAG, vector search, LLM evaluation, or MCP
  • Python proficiency
  • Payments or financial services background and PCI-scoped systems experience
  • Messaging and eventing experience with Azure Service Bus, Event Hubs, or Kafka
  • Observability experience with OpenTelemetry, Application Insights, Grafana, or Prometheus
  • Identity standards experience with OAuth2, OIDC, or Microsoft Entra ID
  • Familiarity with Airflow, Kogito/DMN, OpenBao, or Terraform
  • Awareness of Microsoft Fabric and Delta Lake concepts
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The Company
HQ: Dallas, TX
344 Employees
Year Founded: 2001

What We Do

Your success is our objective. We have more than a decade of service providing business intelligence solutions and applying extensive experience and knowledge to your business requirements. From its roots in the finance, banking, and the payments industry, Aperia expanded to become the preeminent provider of ETL, BI, and hosted solutions in a variety of industries. Aperia platforms scale with industry, processing massive volumes on time. The Software as a Service (SaaS) platforms support millions of end users creating billions of transactions per day, all with the speed and reliability required for business. The company’s management combines more than a century in finance, business consulting, rapid growth, and governance, as well as business intelligence, the company’s core function. Aperia knows that data holds power and providing the precision tools to release that power from data in any format is our passion, skill, and talent.

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