Solera is a global leader in data and software services, dedicated to transforming every stage of the vehicle lifecycle into a connected digital experience. Beyond automotive solutions, the company also provides products and services that protect homes and digital identities. Processing over 300 million digital transactions annually, Solera supports around 235,000 partners and customers across more than 90 countries. With a workforce of 6,500 professionals, Solera fosters an innovative culture focused on delivering future-ready solutions through cognitive insights, algorithms, and automation.
Key Responsibilities
Collaborate closely with scrum teams to design, develop, and execute comprehensive test cases and scripts, ensuring thorough test coverage and timely communication with stakeholders. Lead the performance engineering strategy for APIs, web applications, and distributed systems by designing and conducting various performance tests such as load, stress, endurance, spike, and scalability tests for enterprise applications. Build and maintain reusable JMeter frameworks, test data strategies, and workload models to support ongoing performance testing efforts.
Analyze application, infrastructure, and database behavior under load to identify bottlenecks, capacity limits, and potential performance risks. Partner with engineering teams to define and validate non-functional requirements (NFRs), service-level agreements (SLAs), service-level objectives (SLOs), and capacity targets. Utilize observability and application performance monitoring (APM) tools to diagnose performance issues across application and infrastructure layers.
Integrate performance testing into CI/CD pipelines to promote early performance validation within the software development lifecycle (SDLC). Support root cause analysis of performance issues using logs, metrics, traces, thread dumps, heap analysis, and system monitoring tools. Provide engineering recommendations on scalability, caching, pooling, asynchronous processing, and resource optimization.
Work closely with architects and DevOps teams to improve performance readiness for cloud-native and containerized environments. Contribute to establishing performance standards, governance, and best practices within the Quality/Engineering Center of Excellence (COE). Support performance validation for AI/ML-enabled systems, including latency-sensitive and resource-intensive workloads. Adapt AI technologies throughout all phases of the software testing lifecycle (STLC) and adopt new technology stacks for research and development.
Required Qualifications
2 to 5 years of automation experience using industry-standard tools, preferably Selenium. Proficiency in Object-Oriented Programming (OOP) with Java. Hands-on experience in microservices validation and backend testing. Expertise in database querying, ideally with Cassandra and Elasticsearch.
Experience with data frameworks and queue validation tools such as Apache Kafka and Postman. Exposure to CI/CD pipelines and parallel testing for scaling and faster execution using Jenkins and Kubernetes (K8s). Familiarity with AI tools to enhance QA productivity and automation efficiency. Proven ability to collaborate effectively with Product, Engineering, DevOps, and QA teams for release planning and execution.
Strong skills in designing, developing, documenting, and maintaining test cases, tools, and automation frameworks. Ability to interpret functional requirements and design documents to create comprehensive test plans. Experience in defect triage and root cause analysis. Working knowledge of TestRail (test management) and JIRA (project tracking). Excellent communication skills and stakeholder engagement. Practical experience with Agile methodologies and sprint-based delivery.
Preferred Qualifications and Attributes
A passion for quality and continuous improvement. Ability to work independently as well as collaboratively within team environments. Strong analytical and problem-solving capabilities. Adaptability to fast-paced and evolving work environments. Knowledge of capacity planning, resilience testing, and failover validation. Experience working in Agile, DevOps, and Site Reliability Engineering (SRE)-driven environments.
This role offers an exciting opportunity to work at the forefront of performance engineering, leveraging cutting-edge technologies and AI to ensure scalable, resilient, and efficient enterprise applications. Join Solera’s innovative team to contribute to transformative digital experiences across global markets.