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 up-to-date 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 Qualifications

Required Qualifications

- Bachelors / Masters 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Engineering Manager (Hyderabad)
🏢 Experian
📍 Hyderabad