You will be responsible for design, development and testing of Products Contributing in all phases of the development lifecycle Writing well designed, testable, efficient code Ensure designs are in compliance with specifications Prepare and produce releases of software components Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.
Our ideal candidate is someone who can can architect complex scalable systems with a keen eye towards performance, security and availability while also taking on a super hands-on role towards implementation (i.e. you must be very much in touch with backend coding and want to do it everyday). Additionally you will need to spearhead all inbound and outbound API integrations to build the most robust and scalable integration platform in the B2B Retail space. You will be responsible for architecture, design and implementation of the entire system to support thousands of customers globally. Our stack is primarily built around Node (Loopback), Mongo and ElasticSearch. We have started the transition towards micro services, one of your core responsibilities is ensure micro services are used wherever it makes sense. Mentoring should come naturally to you, as well as finding the right balance towards process and documentation. Highlights: 1) You will be working on interesting technical challenges in a product centric and open-source driven environment. The role requires a good knowledge of Algorithmic Design and Architecture, Data structures, OOPS Concepts, server less architectures and complex problem solving skills. 2) You will help set a very high bar on code quality. 3) You will take ownership of product features from conception to implementation, testing deployment and support. 4) A lot of freedom on when and where you work from - just get stuff done. 5) You will open source as much as possible, and blog about cool things that you learnt and built. 6) You will help define who we become as a company. 7) You will get stock options in line with silicon valley standards. Caveats: 1) We have a strict no-divas rule. There are a lot of smart engineers on the team but no one with an attitude / superiority complex. 2) If you think writing tests for your code, writing docs, doing customer support etc are not your cup of tea, this isn't the right role for you. 3) Similarly if you're viewing this just as a 20-40% increment opportunity over your current compensation, this isn't the right role or company for you. This role can be the growth opportunity of a lifetime for anyone who has been operating as a backend lead and wants to grow into a full stack Check out the links below if you'd like to learn more about us. We encourage people from underrepresented groups to apply. 1) Why ShoppinPal? - https://www.youtube.com/watch?v=cE7DgtwA0ws 2) Our hiring philosophy and process http://techstory.in/building-startup-team/
Job Description: The Data Engineering team is one of the core technology teams of Lumiq.ai and is responsible for creating all the Data related products and platforms which scale for any amount of data, users, and processing. The team also interacts with our customers to work out solutions, create technical architectures and deliver the products and solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how a customer can use our products, then Lumiq is the place of opportunities. Who are you? Enthusiast is your middle name. You know what’s new in Big Data technologies and how things are moving Apache is your toolbox and you have been a contributor to open source projects or have discussed the problems with the community on several occasions You use cloud for more than just provisioning a Virtual Machine Vim is friendly to you and you know how to exit Nano You check logs before screaming about an error You are a solid engineer who writes modular code and commits in GIT You are a doer who doesn’t say “no” without first understanding You understand the value of documentation of your work You are familiar with Machine Learning Ecosystem and how you can help your fellow Data Scientists to explore data and create production-ready ML pipelines Eligibility At least 2 years of Data Engineering Experience Have interacted with Customers Must Have Skills: Amazon Web Services (AWS) - EMR, Glue, S3, RDS, EC2, Lambda, SQS, SES Apache Spark Python Scala PostgreSQL Git Linux Good to have Skills: Apache NiFi Apache Kafka Apache Hive Docker Amazon Certification
DevOps Architect, responsible for designing & implementing the Devops related work task and clarify the System/Deployment related issue directly with customer
Work on different POC Experience in Java/J2ee programming and coding. many more ..