Engineering Manager
Experian
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This role on the market
5,611 open engineering roles across 525 companies are on ApplySarthi right now, most of them in Bengaluru (299), Hyderabad (110), Chennai (55).
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What engineering roles keep asking for: AWS (17%), Python (13%) — counted across their open postings here.
Engineering Manager jobs in India · Remote Engineering Manager jobs · AWS jobs · CI/CD jobs · Generative AI jobs · Java jobs
Experian has 414 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for engineering roles keep coming back to AWS, Python. Practise those questions before you sit with Experian.
Questions you are likely to be asked
- Why do you want to join Experian?
- What is your experience with Agile? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
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Practise the Engineering Manager at Experian interview free →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 programs Improve predictable execution using Agile methodologies (Scrum/Kanban) Ensure, on-time delivery in consideration of our priorities Manage dependencies across teams, platforms, and partners Track and improve important engineering metrics (velocity, quality, reliability) 2. Technical Leadership Architect and oversee scalable, secure, cloud-native systems (AWS preferred) Guide teams on best practices in: Microservices architecture Data pipelines (batch and streaming) API design and integration Event-driven systems Champion engineering excellence: Code quality, testing strategies, CI/CD pipelines Observability and production Improve adoption of AI/GenAI solutions to improve engineering efficiency and product capabilities 3. Data & AI Engineering (Preferred) Lead development of large-scale data platforms using tools like Spark, Glue, and data lakes Ensure real-time and batch data processing pipelines Collaborate with data scientists to productionize ML models Ensure governance, security, and compliance (especially in regulated domains like KYC/KYB, AML) 4. People Leadership Build, mentor, and grow high-performing engineering teams Conduct hiring, onboarding, and performance management Foster a culture of ownership, innovation, and continuous improvement Provide regular feedback and career development guidance Promote diversity, inclusion, and psychological safety within teams 5. Stakeholder Management Partner with Product, Architecture, and Business stakeholders Translate our requirements into technical deliverables Provide clear status updates and executive-level communication Manage risks, escalations, and trade-off decisions effectively 6. Operational Excellence Ensure production stability, uptime, and incident management Drive root cause analysis and continuous improvement Optimize cost and performance of cloud infrastructure Establish robust support and runbooks for operational teams Required Qualifications Bachelor's / Master's degree in Computer Science or related field 10–14 years of software engineering experience, with 3–5 years in a leadership role Experience delivering large-scale distributed systems Experience with cloud platforms (AWS preferred) Hands-on experience in Java/Python/Scala or similar Experience with software development lifecycle and Agile practices Preferred Qualifications Experience in Financial Crime Compliance, Fraud, or Risk systems Exposure to AI/ML and GenAI-driven product development Prior experience managing globally distributed teams 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. #LI-Hybrid 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
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Listed on smartrecruiters · posted 2026-07-16. ApplySarthi collects openings and links to application pages; the role is advertised by Experian, not by us.