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The Technology team which was largely based out San Francisco till 2016 and supported by vendors across the globe, decided to venture out in search of right talent across the globe. The result was incorporation of technology center in Hyderabad popularly known as HDC (Hyderabad Development Center) within GAP. Started in July 2017 with a vision is to set a self-sustaining product center which can deliver end to end technology solutions for global markets, HDC today is a 500-member strong team and plan to grow more than double by next year.
HDC is home for our multiple tech teams, viz., but not limited to.
Our past is full of iconic moments – but our future is going to spark many more. We're looking for the people who'll help make our next decade just as revolutionary as our first five.
If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, you're the right fit.
As an engineer, you will help with the implementation, and launch of many key product features. You will get an opportunity to work on a wide range of technologies (including Spring, AWS Elastic Search, Lambda, ECS, Redis, Spark, Kafka etc.) and apply new technologies for solving problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with skilled and motivated engineers who are already contributing to building high-scale and high-available systems.
If you are looking for an opportunity to work on leading technologies and would like to build product technology that can cater millions of customers inclined towards providing them the best experience, and relish large ownership and diverse technologies, join our team today!
What You'll Do:
The ideal candidate is a passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end.
What You'll Need:
- Kafka, ZeroMQ, AWS SNS/SQS, or equivalent streaming technology
- Distributed cache/in memory data grids like Redis, Hazelcast, Ignite, or Memcached
- Distributed column store databases like Snowflake, Cassandra, or HBase
- Spark, Flink, Beam, or equivalent streaming data processing frameworks
• Attention to detail and quality, and the ability to work well in and across teams
Requirements :
Technical Competencies
General Accountabilities/Job Responsibilities
Job Specifications