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As an Engineering Lead/Manager, you will own the strategy, roadmap, and delivery of real-time detection systems and client-facing fraud management products that protect customers and revenue at global scale. This is a hands-on leadership role: you will shape architecture and execution while developing managers and senior engineers to do the best work of their careers.
Job Responsibility:
Provide strategic leadership for a mission-critical fraud and risk platform, aligning technical direction and capacity planning with business goals and regulatory requirements
Work with PM, Design, Ops, Commercial and Strategy teams to shape the future of our fraud management products
Build and scale a high-performing engineering organization (including managers and senior ICs): set goals, establish career paths, run performance and compensation processes, and cultivate a culture of ownership, inclusion, and excellence
Partner closely with PM to define the roadmap, prioritize a measurable backlog, and deliver outcomes that improve detection rates, reduce false positives, and minimize chargebacks
Serve as the accountable owner for architecture and system quality across services, ensuring reliability, scalability, and cost efficiency for real-time decisioning under high load
Remain hands-on where it matters: guide designs, review critical code and APIs, and de-risk complex initiatives with pragmatic technical deep dives
Drive design and code quality: institute standards, reviews, and automated checks that raise the bar without slowing teams down
Ensure cross-team collaboration with platform, data, SRE, security, and global engineering teams
remove blockers and foster clear interfaces, SLAs, and ownership
Own operational excellence: on-call readiness, incident response, postmortems, observability, capacity planning, and continuous reliability improvements
Lead talent strategy: recruit, onboard, and develop engineers and managers
build diverse teams and succession plans for sustained velocity
Requirements:
8+ years in back-end engineering with 2+ years in engineering management, including ownership of complex, distributed systems in production
Risk management or Fintech product engineering experience
Bachelor’s degree in Computer Science or related field
Proficiency in Java, including multi-threading, high-concurrency patterns, I/O/NIO, and network programming
Deep experience with distributed systems and high-availability, high-throughput architectures (caching, partitioning, consistency models, and resiliency patterns)
Proficiency with Spring / Spring Boot, HTTP, TCP/IP, REST, and build tools such as Gradle / Maven
Practical experience with Docker and Kubernetes for containerization and orchestration
Nice to have:
Leadership across multiple disciplines (e.g., frontend, backend, data/ML, SRE) with managers-of-managers scope for Director-level candidates
Working knowledge of machine learning in production and strong data analysis skills to interpret model and rule performance
Fluency in English for effective collaboration across global teams and stakeholders
Familiarity with modern data and storage technologies: Cassandra, Redis, NoSQL, Hadoop, and streaming systems (e.g., Kafka, Flink, Spark)
Polyglot engineering with one or more of Kotlin, Scala, Python, Golang
Cloud experience with Alibaba Cloud, AWS, or GCP
strong grasp of cloud networking, security, and cost management
Background with risk-specific components: rule engines, feature stores, model serving, A/B testing/experimentation, and real-time stream processing
Awareness of regulatory and security standards relevant to payments (e.g., PCI DSS, SOC 2, data privacy best practices)