Lead Software Engineer

Who We Are

Solera is a global leader in data and software services, transforming every touchpoint of the vehicle lifecycle into a connected digital experience. Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our teams work on mission-critical platforms that demand reliability, scalability, and thoughtful evolution of complex systems.

JOB SUMMARY

We’re looking for a hands-on Lead Software Engineer who can help design, build, and deliver production-grade software with a strong focus on AI-driven development, agentic AI systems, and workflow automation. You will work as a senior technical contributor and workstream lead, writing production code regularly while guiding engineers through complex implementation decisions.

This role is ideal for an experienced engineer who:

• Builds production software using modern engineering practices and AI-assisted development tools
• Designs and implements agentic AI workflows that connect LLMs, tools, APIs, data sources, and business processes
• Leads delivery for features, services, and workflow automation capabilities within a team or product area
• Applies pragmatic architecture patterns that improve reliability, scalability, maintainability, and developer velocity
• Mentors engineers through hands-on pairing, code review, technical design, and adoption of AI-driven development practices
• You will operate with meaningful autonomy within your team, influence implementation patterns across related services, and be known as someone who ships high-quality software, unblocks delivery, and helps the team adopt practical AI-enabled engineering workflows.

WHAT YOU’LL DO

• Write production-quality code regularly across services, APIs, workflow engines, and AI-enabled capabilities
• Lead delivery of high-impact features from design through deployment and production support
• Modernize legacy components incrementally using pragmatic, low-risk migration patterns
• Design, build, and evolve scalable microservices, APIs, integrations, and event-driven workflows
• Translate business and product requirements into reliable software designs, implementation plans, and working solutions
• Identify implementation risks early and drive practical solutions that keep delivery moving without sacrificing quality

AI-Driven Development, Agentic AI & Workflow Automation

• Design and implement AI-enabled workflows using large language models, retrieval patterns, structured outputs, and tool/function calling
• Build agentic systems that can execute multi-step workflows, invoke tools, call APIs, maintain state, and support human-in-the-loop reviews where appropriate
• Implement MCP-style or equivalent orchestration patterns for context management, tool access, memory, permissions, and workflow execution
• Integrate AI workflows with enterprise data sources, business applications, APIs, queues, and operational systems
• Apply grounding, validation, guardrails, prompt/version management, and evaluation techniques to reduce hallucinations and improve reliability
• Build monitoring, observability, feedback loops, and quality checks for production AI behavior
• Partner with product, security, architecture, and operations teams to ensure AI solutions meet business, privacy, compliance, and supportability requirements

Technical Leadership & Delivery

• Lead technical execution for a team, feature area, or workstream while remaining hands-on in the codebase
• Contribute to architecture decisions for service boundaries, integration patterns, data ownership, and AI workflow design
• Make sound engineering tradeoffs across delivery speed, reliability, scalability, security, cost, and maintainability
• Serve as a technical escalation point for implementation challenges involving distributed systems, AI workflows, data integrations, and production issues
• Create reusable patterns, examples, and guidance that help engineers deliver consistent, high-quality solutions

AI-Assisted Engineering & Developer Productivity

• Use AI-powered development tools such as GitHub Copilot, ChatGPT, Claude, or equivalent tools to accelerate coding, refactoring, testing, debugging, and documentation
• Establish practical team practices for safe, reviewable, and high-quality AI-assisted development
• Create prompts, reusable workflows, coding patterns, and automation scripts that improve developer productivity
• Help engineers adopt AI-driven development without weakening code review discipline, testing standards, security practices, or production ownership

Mentorship & Team Elevation

• Mentor engineers through pairing, code reviews, design discussions, and implementation planning
• Help engineers build stronger judgment around AI-enabled development, workflow automation, testing, and production readiness
• Coach less-experienced developers on modern engineering practices, secure AI usage, and maintainable system design
• Promote a culture of ownership, learning, collaboration, and technical accountability
• Lead by example with clear communication, humility, urgency, and high engineering standards

Technical Execution & Operations

• Build and maintain SaaS applications using modern frameworks and cloud platforms
• Design and implement RESTful APIs and event-driven integrations
• Work with relational and NoSQL databases, optimizing for performance and reliability
• Build containerized applications using Docker and deploy via Kubernetes
• Partner with DevOps/SRE to ensure strong CI/CD pipelines, observability, and safe deployments
• Participate fully in the SDLC: design, coding, testing, deployment, and production support

REQUIRED QUALIFICATIONS

Experience

• 7+ years of professional software development experience
• Proven experience leading delivery of complex features, services, or technical workstreams
• Hands-on experience designing, building, and operating production software systems
• Experience applying AI-assisted development tools in real engineering workflows
• Hands-on exposure to LLM-enabled applications, agentic workflows, automation systems, or AI-integrated product capabilities
• Demonstrated ability to mentor engineers and improve team execution through practical technical leadership

Technical Skills

• Strong proficiency in C# and .NET, including ASP.NET Core and modern .NET development
• Strong understanding of RESTful API design, distributed systems, and production service development
• Experience building microservices, integration services, and event-driven workflows
• Hands-on experience with LLMs, AI workflow orchestration, or agentic AI patterns, including tool/function calling, context management, structured outputs, and workflow state
• Experience integrating AI-enabled systems with databases, APIs, queues, and enterprise applications
• Hands-on experience with relational databases such as SQL Server or PostgreSQL
• Working knowledge of NoSQL data stores, caching strategies, and performance optimization
• Experience with Docker, containerized application development, and cloud deployment practices
• Practical experience with Kubernetes or container orchestration platforms
• Comfort working in cloud environments such as Azure or AWS
• Proficient with Git, pull requests, code reviews, branching strategies, and modern CI/CD workflows
• Strong understanding of automated testing, observability, secure coding, and production support practices

Must Have Skills:

• Strong proficiency in C# and .NET, including ASP.NET Core and modern .NET development
• Frontend framework experience such as React( Preferable) , Angular
• Hands-on experience with relational databases such as SQL Server
• Hands-on experience with LLMs, AI workflow orchestration, or agentic AI patterns, including tool/function calling, context management, structured outputs, and workflow state
• Develop production-quality code across distributed services and architecture, leveraging expertise in APIs, workflow orchestration, and AI-enabled solutions.

NICE TO HAVE

• Experience with Python, Java, TypeScript, or polyglot engineering environments
• Experience with message queues, event streaming, or workflow orchestration platforms
• Experience with vector databases, retrieval-augmented generation, knowledge graphs, or semantic search
• Experience building AI evaluation harnesses, prompt/version management, safety checks, or governance workflows
• Background with high-throughput, real-time, or operationally critical SaaS systems
• Strong background in Agile/Scrum environments and cross-functional delivery

EDUCATION

• Bachelor’s degree in computer science or equivalent practical experience