Kubernetes
Data Analytics
Python
Spring Boot- 3+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd and streaming databases like druid
- Strong industry expertise with containerization technologies including kubernetes, docker-compose
- 2+ years of industry in experience in developing scalable data ingestion processes and ETLs
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
- Experience with scripting languages. Python experience highly desirable.
- 2+ Industry experience in python
- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
- Demonstrated expertise of building cloud native applications
- Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
- Experience in API development using Swagger
- Strong expertise with containerization technologies including kubernetes, docker-compose
- Experience with cloud platform services such as AWS, Azure or GCP.
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
- Design and Implement Large scale data processing pipelines using Kafka, Fluentd and Druid
- Assist in dev ops operations
- Develop data ingestion processes and ETLs
- Design and Implement APIs
- Assist in dev ops operations
- Identify performance bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and documentation
- Communicate with stakeholders regarding various aspects of solution.
- Mentor team members on best practices
Shubham Vishwakarma
Full Stack Developer - Averlon
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Job Description
Key Responsibilities:
- Research and identify potential US businesses and decision-makers.
- Gather and analyze client requirements through research and communication.
- Coordinate with the Operations and Development teams for timely project execution.
- Prepare business proposals, requirement documents, reports, and project documentation.
- Maintain CRM records, track project status, and ensure timely follow-ups.
Requirements:
- Bachelor's degree in any discipline.
- 2–4 years of experience in Business Research, Market Research, Project Coordination, or Business Analysis.
- Excellent English communication and documentation skills.
- Strong internet research skills.
- Experience working with US clients is preferred.
- Willing to work from the office in the Night Shift (US Process)
We’re building Vizup, a shoppable videos platform for Shopify brands. Think TikTok-style product videos embedded directly into Shopify stores to increase conversions, engagement, and attributed sales.
We work with fast-growing D2C brands like Sudathi (Shark Tank), Neemans, Sculpd, Aachho, SoulFlower and many more.
This is not a boring internship. You’ll work directly with the founder and learn how real SaaS outbound, growth, partnerships, and Shopify sales work from the ground up.
What You’ll Do
This is a hands-on execution role.
You will help build and run our outbound growth engine:
- Build lead lists of Shopify and D2C brands
- Research brands and founders
- Send cold emails and LinkedIn outreach
- Use tools like Instantly, SalesHandy, Clay, Linkedin Sales Navigator, or similar
- Write and test outbound copy
- Follow up consistently with leads
- Book demo meetings for the founder
- Build partnerships with Shopify agencies and freelancers
- Learn how Shopify SaaS sales actually works
The founder will handle demo calls and closing.
You do not need prior sales experience if you are smart, hungry, consistent, and willing to learn fast. Good communication skills (both English & Hindi) with high energy is must.
Ideal Candidate
Perfect for:
- Students
- Freshers
- Recent graduates
- To build strong personal branding in startups, SaaS, AI, ecommerce, or growth
Important
This role is execution-heavy.
You will actually do outreach, research, follow-ups, and operational work.
If you only want a “strategy” role without execution, this is not the right fit.
If you want real startup experience and are willing to learn fast, apply.
Salary: ₹25,000 to ₹50,000/month
Compensation depends on skill level, ownership, communication, and execution ability. Part-time and flexible.
Key Responsibilities:
Execute manual test cases based on project requirements.
Identify, log, and track software defects using tools like JIRA or Bugzilla.
Assist in preparing test plans, test scenarios, and test data.
Work closely with developers and Project Manager to reproduce and resolve issues.
Perform functional, regression, and smoke testing.
Support the QA team in maintaining testing documentation and reports.
Learn and gradually contribute to automation testing (if applicable).
Required Skills and Qualifications:
Bachelor’s degree in Computer Science, IT, or related field.
1–2 years of experience in software testing .
Basic understanding of SDLC, STLC, and software testing concepts.
Familiarity with bug tracking tools (e.g., JIRA) and test management tools.
Strong attention to detail and analytical skills.
Good written and verbal communication.
Nice-to-Have (Preferred):
Exposure to automation tools like Selenium or Postman.
Knowledge of SQL and database queries.
Understanding of Agile / Scrum methodologies.
ISTQB Foundation certification or equivalent is a plus.
Personal Attributes:
Quick learner with a proactive attitude.
Team player with a focus on quality and continuous improvement.
Strong problem-solving and time-management skills.
Compensation:
Competitive salary and performance-based growth opportunities.
Job Title: Digital Marketing Executive
📍 Location: Bengaluru (Only Bangalore-based candidates/students should apply)
🕓 Experience: 2 Years
💰 Salary: ₹20,000 - ₹25,000 per month
______________
About the Role:
We are hiring a Digital Marketing Executive with proven experience in SEO, website management, ad campaigns, and creative content design. The candidate will handle website updates, blog postings, and social media promotions while implementing best digital marketing practices for B2B growth.
______________
Key Responsibilities:
🧭 SEO & Analytics:
• Perform on-page and off-page SEO to improve website rankings.
• Conduct keyword research, competitor analysis, and backlinking.
• Track performance via Google Search Console and Google Analytics.
💻 Website Management (WordPress):
• Manage and update WordPress websites and blogs.
• Make layout/design changes using Elementor or similar tools.
• Maintain website performance, responsiveness, and SEO health.
✍️ Content & Blog Creation:
• Write, optimize, and update SEO-friendly blogs.
• Maintain a consistent brand voice across all digital channels.
🎨 Creative Design:
• Design marketing creatives using Canva, Photoshop, or CorelDRAW.
• Create banners, thumbnails, and social media graphics.
📱 Social Media Management:
• Plan and post engaging content across LinkedIn, Facebook, and Instagram.
• Track engagement, reach, and optimize posting strategy.
🎯 Advertising & Lead Generation:
• Run and monitor Google Ads, Facebook Ads, and LinkedIn Ads.
• Manage ad budgets and optimize for lead generation.
🏢 B2B Marketing Strategy:
• Develop and execute targeted B2B campaigns.
• Support email marketing, LinkedIn outreach, and client acquisition activities.
______________
Required Skills:
• Minimum 2 years of hands-on experience in digital marketing.
• Proficiency in SEO & SMO, WordPress, Google Tools, and Ads platforms.
• Knowledge of creative tools – Canva, Photoshop, or CorelDRAW.
• Strong understanding of B2B marketing strategy and lead generation.
• Excellent communication and analytical skills.
______________
Eligibility:
• Only candidates/students residing in Bangalore should apply.
• Immediate joiners preferred.
______________
Compensation:
💼 Fixed Salary: ₹20,000- 25,000 per month
React.js
Javascript
Redux/Flux
HTML/CSSIt is an app platform (Android & iOS) that offers discovery, trials and purchase of lifestyle brands across multiple categories like beauty and grooming, food and beverages, health and wellness, fragrances, smart technology, accessories, services and experiences targeted towards the upper middle class.
What shall be expected of you:
● Be responsible for the core UI framework, and implement and maintain it.
● Responsible for the development of the front-end applications and
components.
● Coordinate with the backend engineers & designers for requirement
gathering of the product.
● Responsible for quality assurance including web usability, accessibility,
testing and debugging.
● Build reusable code and libraries for future use.
You must have:
● 2-5 years of prior hands-on experience in building responsive web
interfaces for consumers.
● Strong development experience in the following technologies (HTML,
CSS, Javascript, AJAX, working with REST APIs)
● Front end frameworks/libraries such as ReactJS, and Redux.
● Ability to translate product requirements into functional code.
● Ability to estimate the scope of work for sprint planning.
● Self-motivation and ability to work in a small team with minimal
supervision.
Would be awesome if you are also good at:
● SEO and page speed optimization.
● Web standards, Responsive design, and cross-browser compatibility,
Accessibility.
● Additional web technologies like Angular, Vue JS, Next JS etc.
● Must be fluent in writing code in ES6+ along with linters. ● CSS
preprocessor - SCSS/ LESS
Python• Proven experience as a Linux Platform Engineer, with a focus on Red Hat Enterprise Linux (RHEL) preferred.
• Proficient in Python and Ansible scripting.
• Demonstrated expertise in Linux OS configuration management.
• Experience with RHEL LEAPP upgrades
• Experience with Data Visualization tools, such as Splunk and Grafana
• Experience with Service Now
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills for working in a team-oriented environment.
• Red Hat Certified Engineer (RHCE) certification for RHEL8 or equivalent
• Willingness to adapt to evolving technologies and embrace continuous learning.
• Knowledge of financial services, including regulations and security standards, is preferred.
• Stay current with industry trends and best practices in Linux, financial services, and cybersecurity.
Python
Data Science
R ProgrammingAbout 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.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
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!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools 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 and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
Kubernetes
Amazon Web Services (AWS)
DockerPython2. Has done Infrastructure coding using Cloudformation/Terraform and Configuration also understands it very clearly
3. Deep understanding of the microservice design and aware of centralized Caching(Redis),centralized configuration(Consul/Zookeeper)
4. Hands-on experience of working on containers and its orchestration using Kubernetes
5. Hands-on experience of Linux and Windows Operating System
6. Worked on NoSQL Databases like Cassandra, Aerospike, Mongo or
Couchbase, Central Logging, monitoring and Caching using stacks like ELK(Elastic) on the cloud, Prometheus, etc.
7. Has good knowledge of Network Security, Security Architecture and Secured SDLC practices
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon