Engineering Manager

About the Role

Engineering Manager

As an Engineering Manager, you’llbe 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, Java

• Data & Messaging:

  Kafka, OpenSearch, MongoDB, MySQL , Apache Spark , Apache Flink , Apache Druid

• Architecture:

  Microservices, REST APIs

• Infrastructure:

  AWS (EC2, ECS/EKS, Lambda, RDS, CI/CDetc.)

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 ETL
• Deep 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.