Principal Software Engineer

About the job

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 As a Principal Software Engineer , you will play a critical role in architecture design, developing, and maintaining high-quality software applications using C# and React. You will collaborate with cross-functional teams to define, design, and ship new features while ensuring the performance, quality, and responsiveness of applications. This position requires a deep understanding of software engineering principles and a passion for developing scalable and efficient software solutions.

What You’ll Do

- Technical Leadership: Lead the architecture, design, and development of applications using .NET Core, ensuring high performance, scalability, and security.

- System Design: Design and implement robust, scalable, and maintainable software systems, including both front-end and back-end components.

- Continuous Improvement: Advocate for best practices in software development, including code quality, testing, and deployment processes. Implement CI/CD pipelines and automated testing.

- Research & Innovation: Stay current with emerging technologies and industry trends, recommending improvements and new technologies to enhance product offerings.

- Problem Solving:  Analyse and troubleshoot complex software issues, providing timely resolutions and ensuring minimal impact on the user experience.

- AI Capabilities: Design and implement AI enabled features and services such as agentic workflows, automation, search, or chat assistants. Integrate AI/ML services and models into backend services via APIs using secure and scalable patterns‑enabled features and services

- Team Management: Mentor and guide a team of software engineers, fostering a collaborative and innovative work environment. Conduct code reviews and provide constructive feedback.

- Project Coordination: Collaborate with product managers, and other stakeholders to gather requirements and translate them into technical specifications and communicate effectively with technical and non-technical stakeholders.

What You’ll Bring

- Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).

- 12+ years of experience in software development with a strong focus on .NET core, C#, WEB API, MS SQL, react, LLMs, Elastic Search

- Strong understanding of RESTful APIs, microservices architecture, and cloud technologies (e.g., Azure, AWS).

- Experience with database technologies, both SQL (e.g., SQL Server) and NoSQL (e.g., MongoDB) and ORM frameworks (e.g., Entity Framework).

- Proven experience in AI based Productivity tools : code conversion/refactoring, test generation with coverage thresholds, defect clustering, changelog summarization, architectural blueprints.

- Proven experience in product-based companies, delivering scalable and customer-centric solutions.

- Experience with Elasticsearch, including knowledge of data modelling, querying, and performance optimization.

- Familiarity with Agile development methodologies and tools (e.g., Scrum, Jira).

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Tech Stack:

- Back-end:   C#, .NET Framework 4.8, .NET Core 7+, Python, NodeJS

- Frontend: React or Angular

- Data: SQL Server, MySQL, PostgreSQL; MongoDB; Elasticsearch/OpenSearch

- Cloud/Infra: AWS (Lambda, ECS/EKS, API Gateway, S3, SQS/Event Bridge, RDS, MongoDB), Docker, Kubernetes, Terraform/CloudFormation, GitHub Actions/Jenkins

- AI: LLM, MCP, RAG, AI Agents