Software Development Engineer 3 - Machine Learning & Data Platform
Job Summary
Job Description
Dream11 seeks an SDE 3 for its ML & Data Platform. This role involves the entire project lifecycle, from design and architecture to deployment and monitoring. You'll build scalable, resilient platforms for Big Data and Machine Learning challenges, develop features in a distributed microservices environment (AWS & GCP using technologies like Spark, Flink, Cassandra, etc.), and mentor junior engineers. The platform handles petabytes of data and serves 60 million RPM. Experience with Java or Python and designing Big Data/ML services is essential.
Must have:
- 7+ years experience in OOP (Java/Python)
- 2+ years in Big Data & ML service design/building/optimization
- AWS/GCP experience
- Microservices development
- Full project lifecycle ownership
9 skills required
Job Details
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:
- Owning the full project lifecycle, from designing and architecture to development, deployment, and monitoring
- Investigating issues, incidents, and outages, performing root cause analysis, and preparing detailed reports
- Building resilient, scalable platforms to solve Big Data and Machine Learning challenges efficiently
- Developing scalable features for Data and Machine Learning in a distributed microservices environment
- Mentoring engineers and ensuring that high standards and best practices are maintained throughout the development process
Qualifiers:
- 7+ years of hands-on experience in any object oriented programming language, preferably Java or Python
- 2+ years of experience in designing, building, and optimising Big Data and Machine Learning services
- Practical experience with AWS or GCP
About Dream Sports:
Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform and DreamSetGo, a sports experiences platform.
Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology.
For more information: https://dreamsports.group/
Dream11 is the world’s largest fantasy sports platform with 220 million users playing fantasy cricket, football, kabaddi, basketball, hockey, volleyball, handball, rugby, futsal, American football & baseball, on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers.
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About The Company
Dream Sports is India’s leading sports technology company with 20 crore users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform, DreamSetGo, a sports experiences platform and DreamPay, a payment solutions provider. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’.
Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ mission is to ‘Make Sports Better’ for fans through the confluence of sports and technology. Since 2018, Dream Sports has been consistently featured as the only sports tech company in the ‘Great Places to Work’ survey.
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