Sr. Service Quality Engineer

Job description

Sr. Service Quality Engineer Locations: Hyderabad, India Job Description Experian is looking for a talented Service Quality Engineer that can thrive in a fast paced agile environment supporting projects and developers using innovative technologies. You will be a key player in ensuring our platform delivers the highest levels of quality supporting Experian s delivery of service to consumers. This is a highly technical role requiring excellent technical skills supporting a powerful, enterprise level data platform built on Java, Python and Kafka operating in AWS Cloud. Service Quality Engineers investigate the root cause of product issues, we quantify their scope and impact and when we cant fix them ourselves, we work with our Platform and Engineering teams to reach a solution and establish testing to avoid regression. The Service Quality team owns and approaches platform service quality with a holistic/lifecycle approach, throughout SDLC and Post-deployment. The Service Quality Team will manage issues from first symptom to their eventual resolution, communicating with our customers and internal stakeholders throughout the process, with a focus on protecting the consumer permissioned data our platform manages. The Service Quality Team uses this experience to develop and improve testing, automation, measurement and monitoring in order to prevent such incidents from happening in the first place. Service Quality has ambitious and aggressive goals, and we work on interesting, cross-functional projects in order to achieve them. We are made up of inquisitive, puzzle-solving technical team players who leverage an automation-first mindset to drive efficiencies and solve problems. Essential Duties/Responsibilities Hands-On active collaboration as core member of the service quality team improving the platform s delivered service Incident ownership from first symptom to their eventual resolution Troubleshoot CPD data source connectivity and batch processing incidents. Perform root cause analysis, documented and managed thoroughly using internal incident management tools Simulate or recreate incident details to debug complex platform issues and decode underlying business logic. Design and develop tightly integrated monitoring solutions for the consumer permissioned platform for continuous evaluation with an emphasis on stability and performance. Document troubleshooting and problem resolution steps thoroughly Produce clear and complete root cause analysis and impact analysis reports. Participate in on call rotation, including some weekend support and hand-off of issues between onsite and offshore. Diligently observe and maintain Standards for Regulatory Compliance and Information Security As part of the responsibilities for this role, you will understand and readily support Experian s established corporate business practices, policies, internal controls, and procedures designed to create value and minimize risk. Qualifications: 8+ years of experience supporting a commercial online software-based product, including troubleshooting, validation, testing and analysis. Recent cloud technology experience, preferably AWS (Fargate, S3, RDS, Lambda) Experience with log and application management tools such as: Splunk, Cloudwatch, DataDog Hands-on experience with test automation tooling, frameworks and principles focusing on APIs, UI, performance testing. You will be responsible for enhancing the framework and overseeing the process. Mentoring other engineers towards the best practices of test automation. Integrate automated testing coverage and incorporate recurring production issues into the test suite. Extensive experience gathering and assessing specifications and requirements. Comfortable in a dynamic environment with the ability to adapt to various technologies and simultaneously work on multiple projects. High degree of expertise and experience in Communication (verbal & written) and Negotiation skills/Documentation Skills Additional Preferred Experience Experience supporting product development for financial services businesses. Experience supporting data science efforts and machine learning systems Extensive experience building systems supporting financial services businesses Familiarity creating and using Docker/Kubernetes/OpenShift Security and privacy compliance (GPDR, CCPA, ISO 27001, PCI, HIPAA, etc.) experience a plus. Knowledge and/or use of DDA, FDX, OFX, and/or FIX Hands-on experience with Snowflake, Kafka, ElasticSearch is highly desirable Recent hands-on Experience building supporting commercial systems managing PII, secure or sensitive data and transactions including server-side development developing APIs including REST/JSON APIs AWS Certification is a plus You may NOT enjoy this role or team, if you Are pessimistic about new technology Prefer discussing theories more than conducting experiments Loathe the idea of dressing up for Halloween Want to focus only one thing at a time Think deadlines and schedules are silly non-sense

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