Engineering Manager

Experian · Hyderabad

  • Experience10–14 yrs
  • SalaryNot disclosed
  • Work modehybrid
  • Levelmanager
  • Posted19 Sept 2026

About Experian

Experian is hiring in Hyderabad in technology software. This role looks for around 10+ years of experience.

The role

Engineering manager role at Experian, a global data and technology company in financial crime compliance. Lead delivery and people management for scalable data and AI-driven cloud-native platforms in the FCC domain, overseeing distributed systems, data pipelines, microservices, and production operations. Requires experience with AWS, Spark, Glue, data lakes, batch and streaming pipelines, microservices architecture, API design and integration, event-driven systems, Java, Python, Scala, Agile (Scrum/Kanban), CI/CD, and observability. This is a hybrid role in Hyderabad, Telangana, India.

Full job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

We are looking for an Engineering Manager to lead one or more teams building scalable data and AI-driven platforms in the Financial Crime Compliance (FCC) domain.

You will blend technical leadership, delivery ownership, and people management, with a focus on building resilient, cloud-native systems and driving innovation through AI and automation.

You bring 8+ years of experience in distributed systems, data engineering, and modern software delivery, along with experience building and mentoring teams.

Responsibilities 1. Delivery & Execution

Manage delivery of complex, multi-quarter engineering programsImprove predictable execution using Agile methodologies (Scrum/Kanban)Ensure, on-time delivery in consideration of our prioritiesManage dependencies across teams, platforms, and partnersTrack and improve important engineering metrics (velocity, quality, reliability) Technical LeadershipArchitect and oversee scalable, secure, cloud-native systems (AWS preferred)Guide teams on best practices in:Microservices architectureData pipelines (batch and streaming)API design and integrationEvent-driven systemsChampion engineering excellence:Code quality, testing strategies, CI/CD pipelinesObservability and productionImprove adoption of AI/GenAI solutions to improve engineering efficiency and product capabilities Data & AI Engineering (Preferred)Lead development of large-scale data platforms using tools like Spark, Glue, and data lakesEnsure real-time and batch data processing pipelinesCollaborate with data scientists to productionize ML modelsEnsure governance, security, and compliance (especially in regulated domains like KYC/KYB, AML) People LeadershipBuild, mentor, and grow high-performing engineering teamsConduct hiring, onboarding, and performance managementFoster a culture of ownership, innovation, and continuous improvementProvide regular feedback and career development guidancePromote diversity, inclusion, and psychological safety within teams Stakeholder ManagementPartner with Product, Architecture, and Business stakeholdersTranslate our requirements into technical deliverablesProvide clear status updates and executive-level communicationManage risks, escalations, and trade-off decisions effectively Operational ExcellenceEnsure production stability, uptime, and incident managementDrive root cause analysis and continuous improvementOptimize cost and performance of cloud infrastructureEstablish robust support and runbooks for operational teams

Qualifications

Required Qualifications

Bachelor's / Master's degree in Computer Science or related field10–14 years of software engineering experience, with 3–5 years in a leadership roleExperience delivering large-scale distributed systemsExperience with cloud platforms (AWS preferred)Hands-on experience in Java/Python/Scala or similarExperience with software development lifecycle and Agile practices

Preferred Qualifications

Experience in Financial Crime Compliance, Fraud, or Risk systemsExposure to AI/ML and GenAI-driven product developmentPrior experience managing globally distributed teams

Additional Information

Our uniqueness is that we truly celebrate yours. Experian's strong people first approach is award winning; Great Place To Work™ in 26 countries. 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 a critical 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.

Benefits

Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.

This is a hybrid role.

Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here