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 highly skilled Principal Software Engineer with 9-12 years of experience in designing and building the next generation IoT platform and solutions. You will enable massive scale, self-managing cloud IoT applications that can be operated in the cloud, enable secure interconnection for millions of devices to and from the cloud, and develop distributed systems capable of scaling to millions of transactions per second at sub-second latencies. You will lead a talented team, collaborate with cross-functional stakeholders, and ensure the delivery of robust, high-performance solutions.

What You’ll Do

• Build scalable distributed systems and services for running tens of millions of devices connected to IoT platform
• Lead the architecture, design, and implementation of Java/Spring Boot-based microservices, and drive cloud-native development and deployment on AWS.
• Build Applications on top of device telemetry and metadata
• Create architecture and technical design documents to communicate solutions that will be implemented by the development team.
• Work with development, infrastructure, test, and production support teams to ensure proper implementation of solutions.
• Work with other engineering leaders to ensure that designs meet both tactical and strategic technology needs.
• Help engineering, and cross-functional leaders drive change in the organization: process improvements, best practices, and leveraging metrics to ensure effectiveness.
• Propose technical approaches to implementing solutions within the scope of customer requirements.
• Build tools and capabilities to facilitate application lifecycle operations like upgrades with no downtime, rollback, operational data collection, real-time monitoring, self-healing, and repair.
• Oversee development and maintenance of services using Grails, MySQL, MongoDB, RabbitMQ, Kafka, and Elastic Search.
• Guide the adoption of best practices in CI/CD, containerization (Docker), and orchestration (Kubernetes).
• Mentor and coach engineers, fostering a culture of technical excellence and continuous improvement.
• Collaborate with Product, QA, and DevOps teams to deliver high-quality, scalable solutions.
• Ensure code quality, security, and performance through code reviews and automated testing.
• Contribute to front-end development using HTML5, AJAX, and React.JS as needed.
• Manage source code and workflows using GitHub and GitLab.

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science or related field.
• 8+ years of Software design and Development, Design Patterns, Object oriented design, layered architectures, distributed systems and Micro-services architecture including SaaS at scale
• 5+ years’ experience with Cloud technologies (AWS preferably), data streaming (Spark, Flink, Kafka streams, storm, etc.). Well versed in Kafka
• Strong experience with Grails, MySQL, MongoDB, RabbitMQ, Kafka, and Elastic Search.
• Experience with front-end technologies: HTML5, AJAX, React.JS.
• Experience with cross-platform development: Java/SpringBoot, Javascript/Nodejs
• Experience with Data stores such as MongoDB, MySQL, Aurora, RDS etc
• Proficiency in containerization (Docker) and orchestration (Kubernetes).
• Experience with AWS cloud services and deployment pipelines.
• Solid understanding of CI/CD practices and version control (GitHub, GitLab).
• Hands-on work in GenAI over the last 1–3 years, including LLM integration, prompt engineering, orchestration frameworks, and inference optimization. 
• Proven leadership and mentoring abilities.