Aperia

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

Aperia
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5 hours ago
Dallas, TX, USAStaff+
H1B Sponsor

Responsibilities

  • Lead implementation across multiple projects by translating architectural direction into technical plans, code designs, and shipped software.
  • Design and ship production C#/.NET services and APIs for high-volume payment data under PCI DSS constraints.
  • Build and evolve client-facing web applications using React and TypeScript.
  • Contribute hands-on to a LangGraph-based agentic application, including orchestration, tool integration, testing, evaluations, and observability.
  • Own engineering standards for code reviews, automated unit, integration, and end-to-end testing, and CI/CD practices in Azure DevOps.
  • Deploy and operate services on AKS across Azure and dual on-premises datacenters in partnership with DevOps.
  • Lead the risk platform build team and mentor data platform, DevOps, and application engineers through reviews, pairing, and design collaboration.
  • Define and enforce standards for AI-assisted development tools including Claude Code, Cursor, and GitHub Copilot.
  • Participate in architecture design reviews and ADR discussions and guide application integration with the Microsoft Fabric data estate.

Requirements

  • 8+ years of professional software engineering experience, including 2+ years as a technical lead or equivalent.
  • Expert-level C#/.NET experience with ASP.NET Core, REST API design, and microservices patterns.
  • Strong TypeScript and JavaScript skills with production React experience.
  • Solid Azure and Kubernetes, including AKS, container, deployment, and Azure DevOps CI/CD experience.
  • Strong relational database skills covering schema design, query performance, transactional correctness, OLTP workloads, and SQL for analytical endpoints.
  • Knowledge of distributed-systems fundamentals including API design, idempotency, failure modes, and data consistency across service boundaries.
  • Ability to raise engineering standards through code review, testing discipline, and clear technical design.
  • Interest in AI-assisted and AI-native development; experience shipping an LLM product is not required.
  • Strongly preferred experience with LLM-powered or agentic applications, including LangGraph or LangChain, RAG pipelines, agent orchestration, vector search, LLM evaluation, or MCP-based tool integration.
  • Python proficiency is recommended for agentic and ingestion work.
  • Payments or financial services experience, PCI-scoped systems, messaging and eventing, observability, identity standards, Airflow, Kogito/DMN, OpenBao, Terraform, or Microsoft Fabric and Delta Lake familiarity are advantageous.
  • Must be willing to undergo a background investigation and drug test.

Benefits

  • Full-time hybrid work schedule, Monday through Friday, based in Dallas, Texas.
  • Health insurance, dental insurance, vision insurance, and disability insurance.
  • Health savings account and 401(k) matching.
  • Life insurance and paid time off.
  • Parental leave and childcare assistance.
  • Education reimbursement and fitness membership.
  • Volunteer time off.
Aperia

About Aperia

201-500 employees

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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