Description :

Grade Level: L3

Location: Islamabad

Last date to Apply: 10 September 2025

What is Manager Event Streaming & Data Ingestion- JazzCash

We are looking for a highly skilled Manager – Event Streaming & Data Ingestion to lead the design, development, and management of our enterprise-grade event-driven architecture. The role will be responsible for managing Kafka, MQ systems, and other streaming/data ingestion platforms, ensuring scalability, reliability, and performance to support JazzCash’s large-scale digital payments ecosystem. This position reports to Chief Technology Officer JazzCash.

What does Manager Event Streaming & Data Ingestion do?

Key Responsibilities

• Lead the architecture, deployment, and operations of Kafka clusters, ActiveMQ/RabbitMQ, and other messaging platforms.
• Manage real-time data ingestion pipelines to support payments, transactions, analytics, and fraud detection use cases.
• Define and implement best practices for event-driven microservices, schema management, and message governance.
• Oversee the reliability, performance tuning, and security of Kafka/MQ clusters in production.
• Collaborate with cross-functional teams (application, data, DevOps, and security) to design high-throughput, low-latency solutions.
• Lead a team of engineers, providing mentorship, technical guidance, and performance management.
• Establish monitoring, observability, and alerting frameworks (e.g., Prometheus, Grafana, ELK, Confluent Control Center).
• Drive capacity planning, scaling strategies, and disaster recovery for messaging platforms.
• Manage vendor relationships, licensing, and support for platforms like Confluent Kafka.
• Ensure compliance with regulatory and security requirements (SBP, PCI-DSS, data privacy).

JazzCash is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.

Requirements

Requirements

What are we looking for and what does it require to be Manager Event Streaming & Data Ingestion at JazzCash

• 5+ years of IT experience with at least 3+ years in managing Kafka/Event Streaming platforms.
• Strong expertise in Apache Kafka (Confluent/OSS) – cluster setup, scaling, partitioning, replication, security (Kerberos/SASL/ACLs).
• Hands-on experience with ActiveMQ / RabbitMQ / IBM MQ or equivalent.
• Solid understanding of event-driven architecture, pub-sub, and messaging patterns.
• Proficiency in data ingestion frameworks (Kafka Connect, Flume, NiFi, Debezium, etc.).
• Experience with stream processing technologies (Kafka Streams, Apache Flink, Spark Streaming, ksqlDB).
• Strong knowledge of cloud-native platforms (AWS MSK, Azure Event Hub, GCP Pub/Sub).
• Familiarity with containerization & orchestration (Docker, Kubernetes, OpenShift).
• Strong skills in monitoring & troubleshooting Kafka/MQ clusters.
• Experience working in high-transaction financial services/fintech environments is a strong plus.
• Leadership and people management skills with the ability to drive teams and align with business goals.

Education

• Bachelor’s or Master’s in Computer Science, Software Engineering, or Information Technology.
• Relevant certifications in Kafka, Event Streaming, or Cloud Platforms will be a plus.

Benefits

Why Join JazzCash?

As one of the leading employers in the country, JazzCash epitomizes the philosophy that each JazzCash employee is passionately living a better every day inspired and enabled by visionary leadership, a unique professional culture, a flourishing lifestyle, and continuous learning and development.

Our core values include qualities essential for a positive organizational culture - truthfully guiding entrepreneurial and innovative mindsets, harnessing professional and interpersonal collaboration, and fostering across-the-board customer obsession.

This is an opportunity for someone who wants to be part of something transformative, someone who can play a critical role in driving our success. Together, we can empower millions more with the tools necessary to progress in an increasingly digital economy.