Lead Software Engineer (Hybrid)

Selective Insurance Company of America•Charlotte, NC

1d•Hybrid

About The Position

As a Lead Software Engineer supporting the Claims organization, you will provide technical leadership and hands-on engineering expertise to deliver scalable, secure, and maintainable enterprise solutions in a cloud-first environment. You will help define technical direction, guide engineering execution, and strengthen development practices across modern .NET, Azure, and AI-enabled solutions. You will champion engineering discipline by establishing coding standards, applying sound architectural principles, leading thoughtful code reviews, and mentoring engineers in modern development practices. This role will also help evaluate and integrate AI-enabled capabilities where appropriate, with Azure AI experience considered a strong plus rather than a core requirement. The Claims organization plays a critical role in delivering fair, responsive, and consistent outcomes for customers, claimants, agents, and business partners. Claims is focused on strengthening core execution, improving workflow discipline, increasing automation, and using trusted data and technology to support better decision-making and a more efficient claim experience. This role will support that transformation by helping modernize Claims technology, improve the Claims ecosystem, enable cloud-ready solutions, and build high-quality software practices that allow the organization to scale, adapt, and deliver measurable business value.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline; advanced degree preferred.
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, with the ability to design 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.
Demonstrated 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.

Nice To Haves

Familiarity with business process management platforms, especially Pega, is a plus.
Experience in regulated industries, particularly Property and Casualty insurance or Claims operations, is preferred.
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 BPM 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.

Responsibilities

Lead the design, development, and deployment of cloud-native, full-stack applications using .NET and Azure, with a focus 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.