Principal Software Engineer

Who We Are: Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.

The Role We are seeking a Principal Software Engineer who combines deep hands-on delivery skills with organization-wide technical leadership. This role sits at the intersection of feature delivery, platform ownership, and AI-led transformation. You will own and deliver critical product features end-to-end while simultaneously shaping the architecture, modernization strategy, and AI adoption roadmap across the platform. This role requires a strong builder mindset—someone who can design systems, write production-grade code, unblock teams, and also influence long-term technical direction. The ideal candidate brings extensive experience working with enterprise-grade platforms built on AngularJS/Angular, C#/.NET, SQL Server, Entity Framework, and API-driven systems, and has demonstrated success modernizing such systems into scalable, event-driven, and AI-enabled architectures.   Key Responsibilities

1. AI & Innovation Leadership Drive adoption of AI-first engineering practices across development workflows and product capabilities Apply LLMs, Copilot, RAG architectures, and intelligent automation to accelerate feature delivery, testing, and code modernization Identify practical opportunities to embed AI into core platform capabilities and business workflows Establish guardrails and best practices for scalable, secure, and production-ready AI integration  
2. Architecture & Platform Ownership Define architecture for new features while ensuring alignment with long-term platform evolution Evolve the system toward API-first, event-driven, and modular architectures Design and enhance platform capabilities built on: Web APIs, WebHooks Background processing (WebJobs, Windows Services, workers) Integration and data exchange layers Balance short-term delivery needs with long-term scalability and maintainability  
3. Feature Delivery & Hands-on Engineering Own and deliver complex, high-impact features end-to-end, from design to production rollout Write high-quality, maintainable code across backend and frontend layers where needed Collaborate closely with product and engineering teams to convert requirements into scalable solutions Troubleshoot and resolve complex production issues across services, APIs, and data layers Lead by example through hands-on contributions in critical paths  
4. Modernization & Engineering Excellence Drive modernization of enterprise applications built on the .NET + AngularJS platform Refactor legacy patterns into clean, modular, testable components Improve system reliability through better logging, monitoring, diagnostics, and observability Introduce engineering best practices across: Code quality and reviews Testing strategies Performance optimization Production readiness  
5. Organizational Influence & Mentorship Mentor senior engineers and technical leads on system design, coding practices, and architecture Influence technical decisions across multiple teams without direct authority Establish reusable patterns, frameworks, and engineering standards Act as a technical bridge between feature teams, platform teams, and leadership   Required Qualifications 12+ years of experience in software engineering, including significant hands-on development and architecture responsibilities Proven experience delivering complex enterprise features at scale, while contributing to system design and evolution Strong background in designing, building, and modernizing enterprise platforms Demonstrated ability to operate as a Principal Engineer / Lead Architect-level contributor Hands-on experience with AI-enabled development practices (e.g., Copilot, LLM integrations, automation) Strong problem-solving skills with ability to debug and optimize across full-stack systems Excellent communication and leadership skills with ability to influence across teams   Core Technology Foundation We are looking for a candidate with strong hands-on experience building and evolving enterprise platforms using the following technologies, and a track record of modernizing them toward scalable, API-driven, and AI-enabled systems: Frontend Engineering Experience with AngularJS and/or modern Angular, including evolving legacy UI architectures into modular, maintainable systems Backend Engineering Deep expertise in C#/.NET, including ASP.NET MVC and Web APIs, building scalable and maintainable backend services Data Layer Strong experience with SQL Server and Entity Framework, including schema design, query optimization, and transactional systems Background Processing Experience with Windows Services, WebJobs, and asynchronous processing patterns supporting enterprise workloads Integration & APIs Strong experience designing and building Web APIs, WebHooks, and event-driven systems Observability & Reliability Experience implementing logging, monitoring, and diagnostics frameworks such as ELMAH or equivalent   AI/ML & Future-Ready Expectations Experience applying AI/ML techniques in software engineering or product development Familiarity with: LLMs and prompt-driven systems RAG architectures and knowledge retrieval systems AI-assisted development tools (e.g., Copilot, code assistants) Ability to translate AI capabilities into practical engineering solutions and measurable impact Strong interest in continuously evolving engineering practices using AI as a force multiplier   Optional / Preferred Technology Exposure Experience with Java (Spring Boot) and related ecosystems for building microservices (preferred but not mandatory) Exposure to cloud platforms (AWS/Azure/GCP) and cloud-native architectures Familiarity with microservices, containerization, and DevOps practices Experience working with distributed systems and integration-heavy architectures   Leadership & Influence Expectations Operates effectively across both hands-on delivery and strategic decision-making Thinks in terms of systems, scalability, and long-term architecture Drives alignment across teams and elevates engineering standards Balances speed of delivery with engineering quality and platform health Acts as a trusted technical advisor to engineering and product leadership   What Success Looks Like Consistently delivers high-impact features with strong design and code quality Drives measurable improvements in developer productivity using AI tools Successfully modernizes key parts of the platform into API-first, modular systems Improves system reliability through better observability and engineering practices Establishes reusable technical patterns adopted across teams Becomes a go-to expert for solving complex cross-system technical challenges Elevates the technical maturity of teams through mentorship and leadership   Preferred / Distinguishing Factors Experience modernizing legacy enterprise platforms into modern architectures Strong product mindset with ability to connect engineering work to business impact Track record of influencing architecture across multiple teams Contributions to engineering excellence, platform thinking, or AI adoption initiatives