

About Shipsy
About
About Shipsy
At Shipsy, data is at the center of all our solutions. We enable organizations to capture more & better quality data and help them utilize it to truly become a data-driven organization. We are a young group of high-caliber engineers from the top institutes of India with diverse backgrounds ranging from big data, software architecture, machine learning, robotics, blockchain, IoT putting all our knowledge and energy towards solving real-life business problems through the means of technology.
Our Logistics Visibility & Control Tower platform handles over 1 million transactions on a daily basis, and provide real-time customized views to operation managers, strategy team, business managers on the activity of field workforce throughout the country covering regions like Arunachal Pradesh, J&K, Andaman etc.. The field workforce uses our secure SMS sync feature in remote locations without internet connectivity and provide valuable real-time information to customers for the first time in the industry.
Indian Logistics and Supply Chain landscape pose unique challenges and our group of passionate innovators puts their heart into solving these problems, thus creating a meaningful impact. Our solutions have enabled businesses to improve their customer centricity & efficiency. Some examples include a voice assistant that tells you about the most important areas to focus on a given day, computer vision based data extraction from consignments, deep learning based fraud detection in the delivery operations, predicting possible delays in the supply chain etc.
While we work really hard both in terms of hours we put in at work and the challenging problems we work on, learning and having fun is one the most important parts of our work culture. We organize technical seminars regularly, enroll people in online learning resources to make sure our knowledge keeps growing. The free breakfast, dinner, and snacks make sure that no one is hungry at work. We organize monthly team outings like laser tag, paintball, trampoline, football etc. along with team parties and offsite to keep our minds fresh. Company also buys everyone a gadget of their choice. There are rewards for top performers in the form of international trip vouchers. All in all, we are a people first technology company.
Why Explore a Career at Shipsy
Our current team has 30 people from top institutes across the country like IITs, BITS, IIITs, NITs with experience in Big Data, Software Architecture, ML, AI, Robotics, Blockchain. In combination, we have worked at Samsung Korea, MIT Media Labs, CMU Robotics, Deutsche Bank, Morgan Stanley, Samsung Research, GE Research, Qualcomm Research etc. and also have been entrepreneurs etc. We have numerous research publications and patents.
PERKS
- Free breakfast, dinner, and snacks at the office
- Monthly team outings, e.g., laser tag, paintball, football, trampoline etc.
- Quarterly team parties and annual offsite
- Company sponsored enrollment worth 40K annually to online learning resources like Coursera, edX etc.
- International trip vouchers for top performers
- Company sponsored asset purchase worth 50K
- Games in office - Mini golf, pool, foosball
- Regular tech seminars with pizza and beer
Shipsy Interview Process
Our interviewing process consists of the following rounds -
- Screening round with CS & Software Engineering basics quick questions
- Coding test with a problem designed to test your coding style & problem-solving skills
- Technical Interview I
- Technical Interview II
- Cultural fit interview
Our hiring principles -
- We don't care about the stack you've worked upon, we look good understanding of fundamentals.
- We look for depth in the work experience. Our tech stack consists of almost all the latest technologies and we expect people to learn fast and acquire sufficient depth.
- We look for people passionate about technology and are good team players.
Shipsy's Tech Stack
- Angularjs
- React.js
- React Native
- Ionic
- Node.js
- Flask
- Js
- Python
- Scala
- Android
- PostgreSQL
- MongoDB
- Spark
- Kafka
- Lamba
- Tensorflow
- D3.Js
- AWS
- Computer Vision
- NLP
- Deep Learning
Shipsy Funding
Shipsy has raised over $1 million over a couple of rounds in 2016 and is currently a profitable startup. Currently, Shipsy is in a phase of rapid growth and expansion both in market segments and geographies (international expansion)
Connect with the team
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Website: www.wissen.com
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Wissen Technology is currently hiring experienced Full Stack Java Developers with strong expertise in Core Java, Spring Boot, front-end technologies (Angular/React), REST APIs, multithreading, data structures, and SQL.
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About Wissen Technology:
Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.
Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.
Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
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We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.
Responsibilities:
- Help impacts software quality and customer experience (CX) of product features.
- Able to convert an LLD into code. Codes may need some refinement.
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- Programming experience with at least one modern language such as Java, Node.js including object-oriented design.
- Computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
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We are looking for an experienced full-stack engineer (with a path to becoming CTO) to join our founding team! We're a B2B SaaS startup with a young vibrant culture taking this idea from inception to impact.
About the job
We want to talk to you if:
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- You are a React.JS, Node.JS, Javascript, & Postgres wiz
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- You are obsessive about clean, optimized & scalable code with copious documentation
- You are excited about building out a team and have aspirations to become a CTO
Having B2B SaaS Startup experience is preferred and a big plus
About Us
SmartCue wants to make product demos more effective and as a result help sales teams optimize their sales cycles. Our fundamental belief is that everything we build must eliminate or reduce friction for a salesperson.
Fast Track Your Application
- Think about the Ideal Customer for SmartCue
- Download the trial for SmartCue, sign up, download, experience the product, and provide feedback on how to overhaul the current experience of the product to add immediate value to the customer
-
We don't need you to fully code any feature in its entirety and are not looking for free work.
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Here is a video walkthrough for additional context - https://www.loom.com/share/9609cf1855e64926b71a1ff840bd7347" target="_blank">https://www.loom.com/share/9609cf1855e64926b71a1ff840bd7347
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- Remote forever, if you like!
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About Us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take
key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable
competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to
help businesses develop data-driven strategies and make smarter decisions.
Products@DataWeave
We, the Products team at DataWeave, build data products that provide timely insights that are readily
consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help
businesses take data driven decisions everyday. We also give them insights for long term strategy. We are
focussed on creating value for our customers and help them succeed.
How we work
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest
data problems that there are. We are in the business of making sense of messy public data on the web. At
serious scale! Read more on Become a DataWeaver
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● Opportunity to work on some of the most compelling data products that we are building for online
retailers and brands.
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● Opportunity to work on a variety of challenging problems and technologies to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses, trainings, and tech conferences. Mentorship from seniors in the
team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
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● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics
functionality
● Build robust RESTful APIs that serve data and insights to DataWeave and other products
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● Help stabilize and scale our existing systems. Help design the next generation systems.
● Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
● Work closely with the Head of Products and UX designers to understand the product vision and design
philosophy
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interns.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope.
Skills and Requirements
● 4-7 years of experience building and scaling APIs and web applications.
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● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good
understanding of software design principles and architectural best practices.
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