We are looking for a seasoned Engineering Manager to lead the development of our internal Risk, Fraud and Operations Platform.
This platform plays a critical role in ensuring smooth business operations, detecting anomalies, managing fraud workflows, and supporting internal teams with real-time visibility and control.
As an Engineering Manager, youll be responsible for leading a cross-functional team of backend engineers working on high-throughput systems, real-time data pipelines, and internal tools that power operational intelligence and risk management.
You will own delivery, architecture decisions, team growth, and collaboration with stakeholders.
Key Responsibilities :
- Lead and grow a team of software engineers building internal risk and ops platforms.
- Oversee the design and development of scalable microservices and real-time data pipelines.
- Collaborate with stakeholders from Risk, Ops, and Product to define technical roadmaps and translate them into delivery plans.
- Ensure high system reliability, data accuracy, and low-latency access to risk signals and ops dashboards.
- Drive architectural decisions, code quality, testing, and deployment best practices.
- Contribute to hands-on design, reviews, and occasional coding when required.
- Optimize performance and cost-efficiency of services deployed on AWS.
- Mentor team members and foster a culture of ownership, innovation, and continuous learning.
Tech Stack You'll Work With :
Languages : Node.js, Python, JavaData & Messaging : Kafka, OpenSearch, MongoDB, MySQL , Apache Spark , Apache Flink , Apache DruidArchitecture : Microservices, REST APIsInfrastructure : AWS (EC2, ECS / EKS, Lambda, RDS, CI / CD etc.)Requirements :
8+ years of software engineering experience with backend and distributed systems.2+ years of people management or tech leadership experience.Strong experience with Node.js and Python; familiarity with Java is a plus.Hands-on experience with event-driven architecture using Kafka or similar.Exposure to OpenSearch, MongoDB, and relational databases like MySQL.Exposure to Spark, Flink , Data pipeline ETLDeep understanding of cloud-native architecture and services on AWS.Proven ability to manage timelines, deliver features, and drive cross-functional execution.Strong communication and stakeholder management skills.Preferred Qualifications :
Prior experience in risk, fraud detection, operations tooling, or internal platforms.Experience with observability, alerting, and anomaly detection systems.Comfortable working in fast-paced environments with rapidly evolving requirements(ref : hirist.tech)