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Selective Insurance

Personalized insurance solutions via independent agents

Lead Software Engineer

Full-Stack EngineeringUpdated on Nov 10
Full-timeCharlotte, NC, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline is required; an advanced degree is preferred.
  • At least 7 years of hands-on software engineering experience, including technical leadership or architecture responsibilities.
  • Deep experience with .NET technologies, including C#, ASP.NET Core, Web APIs, dependency injection, asynchronous programming, application configuration, logging, and modern integration patterns.
  • Strong understanding of modern software frameworks, reusable libraries, design patterns, domain-driven concepts, API-first development, and clean architecture principles.
  • Strong working knowledge of Azure cloud services and cloud-native architecture, including designing secure, scalable, observable, and resilient application components.
  • Experience designing microservices, REST or GraphQL APIs, event-driven systems, and containerized applications using Docker or Kubernetes.
  • Proficiency with DevOps practices, including CI/CD, YAML pipelines, automated testing, Infrastructure as Code, release automation, source control strategy, and environment management.
  • Ability to conduct effective code reviews, improve engineering quality, solve complex technical problems, and mentor software engineers in modern development practices.
  • Ability to evaluate AI-enabled use cases and collaborate with architecture, data, and product teams to integrate AI capabilities responsibly into enterprise business applications.

Responsibilities

  • Lead the design, development, and deployment of cloud-native, full-stack applications using .NET and Azure, focusing on scalability, performance, resiliency, and maintainability.
  • Establish and promote coding standards, reusable design patterns, technical guidance, and engineering best practices across software delivery teams.
  • Champion automated testing, CI/CD pipelines, Infrastructure as Code, secure coding practices, and high-quality technical documentation.
  • Evaluate and support AI-enabled capabilities, including Azure AI Services where appropriate, to improve automation, intelligent guidance, decision support, and operational efficiency within Claims.
  • Conduct code reviews, provide constructive technical feedback, and mentor engineers in cloud-native architecture, AI integration, agile delivery, and modern software engineering practices.
  • Partner with product, QA, architecture, security, operations, and business stakeholders to clarify requirements, refine technical solutions, and deliver business-aligned capabilities for Claims.
  • Continuously evaluate emerging technologies, tools, and delivery practices that can improve engineering productivity, software quality, reliability, and security.
  • Ensure solutions meet enterprise standards for quality, performance, observability, security, compliance, and operational support.

Desired Qualifications

  • Familiarity with business process management platforms, especially Pega.
  • Experience in regulated industries, particularly Property and Casualty insurance or Claims operations.
  • Experience with Azure AI Services, Azure OpenAI, Cognitive Services, Azure Machine Learning, or similar AI platforms.
  • Experience integrating AI-enabled capabilities through REST APIs, SDKs, prompt orchestration, or platform services.
  • Experience with Python or familiarity with machine learning and deep learning frameworks such as TensorFlow or PyTorch.
  • Hands-on experience with business process management platforms, with Pega experience preferred.
  • Experience with front-end frameworks, preferably Angular or React.
  • Advanced SQL skills and experience with data streaming or messaging technologies, preferably Kafka, Azure Service Bus, Event Hubs, or RabbitMQ.
  • Knowledge of data privacy, compliance, governance, and security considerations for cloud and AI adoption.

About the Company

Selective Insurance

Personalized insurance solutions via independent agents

Selective Insurance provides personal and business insurance solutions tailored to each customer’s needs. It works with independent agents to assess coverage requirements and delivers policies through those partners, backed by unique programs, products, and value-added services that help protect what matters most. Unlike some competitors that offer one-size-fits-all plans, Selective focuses on highly personalized coverage built with input from independent agents, ensuring customers get a policy that fits their lifestyle. The company’s goal is to give customers peace of mind through a highly personalized insurance experience and to support communities by offering thoughtful, customized protections.

Company size
1,001-5,000
Company stage
IPO
Headquarters
United States
Founded
1926

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