Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job DescriptionFinancial Services Division (FSD) Engineering team is looking for an Engineering leader that can excel in a non-traditional environment, working with the latest of the Cloud and Big Data analytics ecosystem. Data is the currency in today's world, and in this role, you will be at the forefront of a digital transformation. Reporting to the Director of Software Development, we are looking for a Senior Manager of Software Engineering to lead the development and operations of our real-time API platform, a critical component that powers mission-critical integrations across our ecosystem. You will manage a high-performing team of engineers responsible for designing, building, and scaling available, low-latency APIs that support millions of transactions per day. We ask that you have a balance of technical depth, and people leadership.
What you'll do
You will lead engineering teams building platform capabilities and solutions for our clients using Experian bureau data and other 3rd party data. Your team will work on important projects to accelerate the development, training, testing and deployment of solutions for clients by providing a self-service intuitive UI. You will build data pipelines at scale for our batch clients and integrating with 3rd party providers for our real-time clients.
Additional responsibilities include
Team LeadershipLead and mentor a team of software engineers, encouraging an inclusive engineering cultureYou'll manage hiring, performance management, and career development for your teamPlatform OwnershipOversee the architecture, design, and implementation of real-time APIs with a focus on scalability, reliability, and latencyYou will create platform evolution, including modernization, observability, and CI/CD best practicesChampion Service level agreements, and incident response for platform servicesTechnical StrategyCollaborate with Architects and Principal Engineers to define the long-term vision and roadmap for the API platformEnsure the team follows software engineering best practices including testing, code reviews, and documentationGuide the use of latest technologies that support real-time processing, event streaming, and performance optimizationCollaborationWork with Product Management, DevOps, and other engineering teams to align technical plans with our goalsPartner with security, compliance, and infrastructure teams to ensure platform meets regulatory and operational standardsDelivery & ExecutionManage the delivery lifecycle of major platform plansTrack important performance metrics (availability, latency, throughput) and ensure continuous improvementManage the delivery of insightful dashboards and data visualizationsIdentify risks early and implement mitigation strategiesQualificationsBachelor's degree in Computer Science, Engineering, or related field8+ years of software engineering experience with at least 3+ years in engineering leadership rolesProven experience managing real-time, high-throughput API platforms in production environmentsKnowledge of distributed systems, cloud platforms (AWS/GCP/Azure), and modern backend stacks (e.g., Node.js, Java, Go, or Python)Experience with API gateways, load balancing, caching, and observability tools (Kibana, Grafana, Datadog, and Prometheus)Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworksExperience developing ML Ops capabilitiesData Science & ML experienceDevOps Knowledge: Docker and KubernetesAdditional InformationBenefits/Perks
Great compensation package and bonus planCore benefits including full medical, dental, vision, and matching 401KFlexible schedule, ability to work remotely, hybrid, or in-officeFlexible time off, including volunteer time off, vacation, sick, and 12-paid holidaysOur uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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