Head of Platform
3 days ago
This role is for one of the Weekday's clients
Min Experience: 14 years
Location: Bengaluru
JobType: full-time
We are looking for a seasoned
Head of Platform
to lead and architect the platform engineering function for our high-scale, real-time data-driven systems. This is a strategic leadership role, ideal for an expert with deep experience in
Kafka, Kafka Streams, and streaming architectures
, who can drive technical excellence while enabling business growth through reliable and scalable platforms. You will lead a team of engineers, shape the platform roadmap, and ensure our systems meet the highest standards of performance, reliability, and scalability.
Requirements
Key Responsibilities:
- Lead and manage the platform engineering team, setting technical direction, priorities, and architecture standards.
- Own the design, development, and scaling of real-time streaming data pipelines using Kafka, Kafka Streams, and associated technologies.
- Architect solutions for high-throughput, low-latency data processing, ensuring robust event-driven architectures.
- Define and implement best practices for Kafka-based microservices, event sourcing, and stream processing.
- Collaborate with engineering, product, and business teams to understand requirements and translate them into platform solutions.
- Drive platform modernization initiatives, ensuring high availability, fault tolerance, and optimal resource utilization.
- Establish monitoring, alerting, and observability frameworks to maintain operational excellence for streaming platforms.
- Mentor and grow engineering talent, fostering a culture of innovation, collaboration, and technical excellence.
- Evaluate emerging technologies in streaming, messaging, and distributed systems to continually improve the platform.
- Lead incident management for platform-related issues and oversee root cause analysis and preventive measures.
Must-Have Skills & Expertise:
- Extensive hands-on experience with Kafka, Kafka Streams, and real-time streaming architectures.
- Proven ability to design and operate high-scale, fault-tolerant, distributed streaming platforms.
- Strong knowledge of event-driven architectures, message brokers, stream processing, and microservices.
- Experience with performance tuning, partitioning strategies, replication, and disaster recovery in Kafka ecosystems.
- Proficiency with associated technologies like Zookeeper, KSQL, Schema Registry, and related cloud-based streaming solutions.
- Solid background in Java, Scala, or other JVM-based languages used in streaming application development.
- Strong understanding of CI/CD, DevOps practices, containerization, and cloud platforms (AWS, GCP, Azure).
- Excellent leadership, communication, and stakeholder management skills.
- Experience in scaling engineering teams and managing multi-functional platform initiatives.
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Experience in financial services, e-commerce, or high-volume data platforms.
- Exposure to data analytics frameworks (Spark, Flink) is a plus
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