Engineering Manager - Data Platform

ML & Data Platform @Dream11:

Technology is at the core of everything we do. Our technology team helps us deliver a mobile-first experience across platforms (Android & iOS) while managing over 450 million RPM at peak with a user concurrency of over 15 million.

Building highly specialised and scalable data and ml platforms are key for driving excellence at this scale. Our Data and ML Platforms work with petabytes of data, and deliver the best user experience by running ML models at a scale of 60 million RPM. Data and machine learning is at the heart of driving product innovations and form a core tenet for all our decisions. Our platforms are built on a tech stack which is hosted on AWS & GCP with distributed systems like Spark, Flink, Cassandra, Aerospike, Akka, Voltdb, Ignite, Pulsar etc.

Your Role:

• Managing the design and implementation of software and its infrastructure, including code reviews, testing, deployment, monitoring using agile SDLC processes
• Contributing towards decision making on effort estimates, timelines and leading transparent communication with stakeholders about risks and delays
• Owning the product roadmap and KTLO for services and functions owned
• Partnering with stakeholders to prioritise and maintain product roadmaps, backlogs, and refining technical debt
• Hiring and nurturing top engineering talent to raise the bar of our operational excellence
• Diving into details of issues/incidents, outages, analysing root cause and preparing incident reports
• Fostering a culture of continuous learning and building domain expertise in data platform technologies and methodologies

Qualifiers:

• 8+ years of experience with designing and building microservice based applications
• 2+ years of experience managing technical teams and projects
• Experience working with data products or platforms