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Senior SE - Search - Elasticsearch / Mongo DB / Spring / ELK (1-5yrs)
Posted by tamal.chakraborty
About Technology Team
Tracxn’s Technology team is 40+ members strong and growing. The technology team is subdivided into multiple smaller teams each of which has ownership of one or more services/components of the technology platform. Ours is a young team of motivated engineers with minimal management structure where almost everyone is actively involved in technical development and design activities. We have a team-centric culture where the ownership and responsibility of a feature or module lie with a team as compared to an individual.
- We work on an array of technologies, including but not limited to Spring, Node, Elastic Stack, MySQL, Mongo, ReactJS, Webpack, Kafka, Redis, AWS Lambda, Ansible, etc.
What we are looking for:
The ability to produce bug-free and production-grade code.
Strong coding skills
Good command over Data Structure, Algorithms
The ability to produce bug-free and production-grade code
The skills that we consider: Java, Groovy, MYSQL, Python, SpringMVC, MongoDB, Maven, Redis, Kafka, Ansible, AWS, node.js
Build & lead a great team by example.
Develop a deep understanding of the startup ecosystem.
Build a customer-facing technology product for global customers.
Learn & Develop Leadership skills.
What we have to offer:
Work with a performance oriented team driven by ownership and open to experiments.
Learn to design system for high accuracy, efficiency, and scalability.
No strict deadlines, focus on delivering quality work.
Meritocracy driven, candid culture. No politics.
Very high visibility regarding which startups and markets are exciting globally.
Learn to handle and mentor a team of 2 to 3 developers.
Roles and responsibilities:
Tracxn is looking for an experienced and motivated Full Stack professional to be an integral part of its Apps team. The Apps team is an essential part of the Technology team at Tracxn and works on solving technical challenges related to processing, visualization and presentation of continually scaling data in an easily accessible manner on the Tracxn platform. There are currently more than 100 billion data points in the platform which need to be processed, aggregated and presented in different ways.
● Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
● Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT)