Engineering Manager

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 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 architectureData pipelines (batch and streaming)API design and integrationEvent-driven systems
• Champion engineering excellence:Code quality, testing strategies, CI/CD pipelinesObservability 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
• Enable 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 closely with Product, Architecture, and Business stakeholders
• Translate business 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

• Bachelor's or Master's degree in Computer Science or related field
• 10–14 years of software engineering experience, with 3–5 years in a leadership role
• Proven track record of delivering large-scale distributed systems
• Strong experience with cloud platforms (AWS preferred)
• Hands-on experience in Java/Python/Scala or similar
• Deep understanding of 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