Lead Software Engineer (Hybrid)

Selective Insurance Company of America•Hartford, CT

6h•Hybrid

About The Position

At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work® in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. As Lead Software Engineer, you will drive technical direction and execution for robust, scalable, and maintainable enterprise software solutions within our cloud-first environment. You will champion engineering discipline by enforcing coding standards, architectural principles, and best practices throughout the development lifecycle. This role is pivotal in guiding engineers, conducting thorough code reviews, leading by example in modern engineering practices, and fostering a culture of continuous improvement and technical excellence. You will also architect and integrate AI-powered features using Azure AI Services, helping deliver intelligent solutions that align with our business objectives.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
7+ years of hands-on experience in software engineering and architecture, with deep knowledge of .NET (C#, ASP.NET Core) and Azure cloud services.
Advanced proficiency in Azure AI Services for developing and deploying enterprise AI-driven solutions.
Expertise in microservices, API-first design (REST/GraphQL), event-driven systems, and container orchestration (Docker, Kubernetes).
Proficiency in DevOps, CI/CD, Infrastructure-as-Code, and Agile/Scrum/SAFe methodologies.
Strong code review, testing, problem-solving, and leadership skills.
Experience integrating AI features via REST APIs or SDKs into business applications.

Nice To Haves

Business Process Management (BPM) implementation experience, especially with Pega, is a plus.
Experience in regulated industries (e.g., Property & Casualty insurance) preferred.
Experience with Python, and familiarity with machine learning/deep learning frameworks such as TensorFlow and PyTorch.
Hands-on with additional BPM tools (Camunda, Appian).
Front-end frameworks (Angular, React), advanced SQL, and data streaming technologies (Kafka, RabbitMQ).
Knowledge of data privacy, compliance, and security requirements for cloud and AI adoption.
Demonstrated ability to lead the full lifecycle of modeling software adoption—including evaluation, implementation, and integration into enterprise systems and business processes.

Responsibilities

Lead the design, development, and deployment of cloud-native, full-stack applications with .NET and Azure, ensuring scalability, performance, and reliability.
Establish and enforce coding standards, design patterns, and architectural guidelines across software projects.
Champion best practices in automated testing, CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, ARM), and rigorous documentation.
Architect and integrate AI capabilities using Azure AI Services (Cognitive Services, ML, OpenAI, Bot Services) for predictive analytics, NLP, and intelligent automation.
Conduct code reviews, provide constructive feedback, and mentor engineering talent in cloud-native, AI, and agile delivery practices.
Collaborate with product, QA, and cross-functional teams to clarify requirements, refine technical solutions, and deliver features aligned to business needs.
Continuously evaluate and adopt new technologies, tools, and methodologies to improve productivity, quality, and security.
Ensure adherence to enterprise software quality, performance, and compliance requirements.