Java
C++
Scala
Amazon Web Services (AWS)non-metro and rural markets. DealShare has raised series C funding of USD 21 million with key investors like WestBridge Capital, Falcon Edge Capital, Matrix Partners India, Omidyar Network, Z3 Partners and Partners of DST Global and has a total funding of USD 34 million.They have 2 million customers across Rajasthan, Gujarat, Maharashtra, Karnataka and Delhi NCR with monthly transactions of 1.2 million and annual GMV of $100 million. Our aim is to expand operations to 100 cities across India and reach annual GMV of USD 500 Million by end of 2021.
They started in Sept 2018 and had 5000 active customers in the first three months. Today
we have 25K transactions per day, 1 Lakh DAU and 10 Lakh MAU with a monthly GMV of INR 100 Crores and 50% growth MoM. We aim to hit 2 Lakh transactions per day with an annual GMV of 500 Million USD by 2021.
We are hiring for various teams in discovery (search, recommendation, merchandising,
intelligent notifications) , pricing (automated pricing, competition price awareness, balancing revenue with profits, etc), user growth and retention (bargains, gamification), monetisation (ads), order fulfillment (cart/checkout, warehousing, last mile, delivery promise, demand forecasting), customer support, data infrastructure (warehousing, analytics), ML infrastructure (data versioning, model repository, model training, model hosting, feature store, etc). We are looking for passionate problem solvers to join us and solve really challenging problems and scale DealShare systems
You will:
● Implement the solve with minimal guidance after solutioning closure with senior engineers.
● Write code that has good low level design and is easy to understand, maintain, extend
and test.
● End to end ownership of product/feature from development to production and fixing
issues
● Ensure high unit, functional and integration automated test coverage. Ensure releases
are stable.
● Communicate with various stakeholders (product, QA, senior engineers) as necessary to
ensure quality deliverables, smooth execution and launch.
● Participate in code reviews, improve development and testing processes.
● Participate in hiring great engineers
Required:
● Bachelor’s degree (4 years) or higher in Computer Science or equivalent and 1-3 years
of experience in software development
● Excellent at problem solving, is a self thinker.
● Good understanding of computer science fundamentals, data structures and algorithms
and object oriented design.
● Good coding skills in any object oriented language (C++, Java, Scala, etc), preferably in
Java.
● Prior experience in building one or more modules of large-scale, highly available, low
latency, high quality distributed system is preferred.
● Extremely good at problem solving, is a self thinker.
● Ability to multitask and thrive in a fast paced timeline-driven environment.
● Good team player and ability to collaborate with others
● Self driven and motivated, very high on ownership
Is a plus
● Prior experience of working in Java
● Prior experience of using AWS offerings - EC2, S3, DynamoDB, Lambda, API Gateway,
Cloudfront, etc
● Prior experience of working on big data technologies - Spark, Hadoop, etc
● Prior experience on asynchronous processing (queuing systems), workflow systems.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Location: Bangalore (Hybrid Mode)
Experience: 5 to 8 years
Joining: Immediate / Notice Serving Only
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Location-Bangalore & Hyderabad (Post pendami)
JavaSpring Boot-
Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.
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Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
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In-depth knowledge of standard programming languages such as Scala and/or Java.
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3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.
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Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.
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Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.
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Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.
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Perform benchmarking/stress tests and document the best practices for different applications.
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Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.
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Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.
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JD:
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Interact with stakeholders of the applications being developed.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon