JD:
- 10+ years of experience in preparing, reviewing, revising, and maintaining the software technical documents and Saas product documentation.
- Experience in reviewing the user interface (UI), partner with UX designers to suggest ways to make the UI intuitive, and provide content that can be embedded in the UI.
- Experience in performing independent research to understand a product and the needs of customers and stakeholders.
- Experience writing/editing troubleshooting, procedural, and reference information.
- Understands software terminology and has basic knowledge of working with software development teams.
- Experience working in an agile environment.
- Ability to quickly learn and evaluate new technologies and work effectively in a fast-paced, dynamic environment.
Why SquareShift?
We firmly believe that our growth, long-term success & wellbeing as an organization are a direct outcome of the culture and teamwork. At SquareShift, you can expect,
- High-growth, collaborative environment with diverse and inclusive teams
- Continuous learning, enrichment, and development opportunities
- Competitive pay and allowances for professional development
- Flexible time off to relax and recharge
Address: SquareShift Technologies
Shubham Vishwakarma
Full Stack Developer - Averlon
About SquareShiftco
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Note-“Urgently Hiring – Immediate Joiners Preferred”
Data Engineering
Role & Responsibilities
We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP/BigQuery expertise.
Responsibilities:
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows
- Work with Dataform or dbt to implement transformation logic and data models
- Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
- Support data migration initiatives and data mesh architecture patterns
- Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
- Apply data governance and quality best practices across the data lifecycle
- Troubleshoot pipeline issues and drive proactive monitoring and resolution
Ideal Candidate
- Strong Data Engineer Profile
- Mandatory (Experience 1) – Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
- Mandatory (Experience 2) – Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
- Mandatory (Experience 3) – Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
- Mandatory (Experience 4) – Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
- Mandatory (Core Skill 1) – Must have strong SQL skills with experience in writing complex queries and optimizing performance.
- Mandatory (Core Skill 2) – Must have programming experience in Python and/or SQL for data processing.
- Mandatory (Core Skill 3) – Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
- Preferred (Experience 1) – Exposure to data migration projects and/or data mesh architecture concepts.
- Preferred (Skill 1) – Experience with Spark/PySpark or large-scale data processing frameworks.
- Preferred (Company) – Experience working in product-based companies or data-driven environments.
- Preferred (Education) – Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
.
📢 Job Opportunity – Digital Marketing & Customer Support (Fresher/Intern)
📍 Location: Hyderabad / Gurugram
💼 Experience: 0–1 Year
🎓 Qualification: Any Graduate
✅ Certification / Internship in Digital Marketing is Mandatory
🔹 Role Overview:
We are hiring enthusiastic freshers for a blended role in Digital Marketing and Customer Support. The candidate will support our digital campaigns, engage with customers, and assist in online brand activities. This is a great opportunity to start your career with practical exposure and learning.
🔹 Key Responsibilities:
- Assist in planning and executing digital marketing campaigns (SEO, SEM, Social Media, Email Marketing).
- Handle customer queries via email, chat, and calls, ensuring timely resolution.
- Monitor and analyze campaign performance to suggest improvements.
- Coordinate with internal teams for content and campaign execution.
- Maintain customer satisfaction by providing quality support.
🔹 Required Skills:
- Strong communication and problem-solving skills.
- Basic knowledge of SEO, Google Ads, Social Media, and Analytics.
- Customer-first attitude with good interpersonal skills.
- Ability to multitask and learn quickly.
About the Company:
Shrameco Pvt. Ltd. is a development-focused ecosystem committed to creating meaningful opportunities through the 4E Model – Education, Employment, Entrepreneurship, and Empowerment.
The organization works to bridge the gap between skills, opportunities, and resources by enabling individuals, institutions, and communities to access quality training, sustainable livelihoods, and growth-oriented development pathways.
Through a strong combination of technology solutions, field expertise, and strategic partnerships, Shrameco delivers impactful initiatives across government collaborations, skill development, digital governance, and enterprise support programs.
Our mission is to strengthen human capital and promote inclusive socio-economic progress by empowering individuals to learn, work, innovate, and lead with confidence.
Role Overview:
We are looking for a Full Stack Developer with 1–2 years of experience who can work on both frontend and backend systems to build scalable platforms, dashboards, and APIs.
The candidate will be involved in developing data-heavy applications, dashboards, and mobile-integrated platforms used by government bodies, NGOs, and enterprises.
This role requires someone who understands modern web technologies, API architecture, database design, and production deployment practices.
Key Responsibilities
Full Stack Development
- Develop and maintain web applications, dashboards, and portals.
- Build REST APIs and backend services for mobile and web applications.
- Implement secure authentication and authorization systems.
- Develop scalable features for large-scale data collection and analytics platforms.
Frontend Development
- Develop responsive interfaces using:
- React.js / Next.js
- HTML5, CSS3, TailwindCSS
- JavaScript / TypeScript
- Build admin dashboards, analytics views, and data visualization components.
- Optimize frontend performance and responsiveness.
Backend Development
- Develop backend APIs using:
- Node.js
- Express.js / NestJS
- Design and implement secure and scalable APIs.
- Integrate external services such as:
- Email services
- Payment gateways
- Third-party APIs
- Government services APIs
Database Development
- Design and manage databases such as:
- PostgreSQL
- MongoDB
- MySQL
- Write optimized queries and manage data structures.
- Work with large datasets such as data collected from field surveys and analytics platforms.
Integration with Mobile Applications
- Build APIs used by Flutter mobile applications.
- Ensure API performance and reliability for field applications.
DevOps & Deployment
- Assist in deployment and maintenance of applications on:
- AWS
- Vercel
- Firebase
- Work with tools like:
- Docker (basic)
- GitHub
- CI/CD pipelines
Requirements
- Strong knowledge of JavaScript
- Experience with React.js / Next.js
- Backend experience with Node.js
- Experience with REST API integration
- Knowledge of JSON parsing and data models
- Knowledge of SQL or NoSQL databases
- Basic knowledge of authentication systems (JWT, OAuth)
- Experience using Git & GitHub
- Understanding of MVC / Clean Architecture principles
- Ability to write clean, maintainable code
- Knowledge of debugging and performance optimization
What we offer
- Opportunity to work on large-scale impactful projects
- Exposure to modern architectures
- Collaborative and growth-focused environment
- Opportunity to contribute to high-impact technology platforms
Job Title: Sales Associate – VADAI (Value-Aided Delta with Artificial Intelligence)
Location: South India – Preferably Chennai, Bangalore, or anywhere in Tamil Nadu
Type: Full-Time
Compensation: Fixed Monthly Pay + 10% Commission from Second-Month Revenue of Each School Closed
About VADAI
VADAI is an AI-powered education engine designed to transform school learning across India. By measuring a student’s understanding and adapting to their individual pace, VADAI enhances academic growth, ethical learning, and career readiness — far beyond what traditional ERPs or LMS platforms can provide.
Our mission is to make this advanced, AI-driven learning accessible to all — from urban metros to rural and government schools — through smartphones, tablets, and desktops. We're here to build a stronger educational foundation for the future of India.
Key Responsibilities
Identify and visit schools within your territory; pitch to principals or decision-makers in person.
Professionally present printed brochures, demo kits, agreements, and your company credentials during visits.
Clearly explain the benefits of VADAI in a calm, simple tone and secure demo appointments or agreements.
Follow up diligently and help schools feel confident about onboarding.
Maintain and regularly update visit details, status, and contact information in a shared Google Sheet.
Coordinate with internal teams to ensure smooth onboarding and implementation for every school.
Be available on-site during Demo Days, addressing questions from students and teachers.
Incentives & Career Growth
Fixed Monthly Salary to support basic travel and field expenses.
10% Commission on the second-month revenue from each school deal you close.
Top performers will receive a Certificate of Excellence based on number of schools closed, timeline, and rank.
Opportunity to be promoted to Head of Sales or Regional Sales Lead as the company expands into new territories, including universities and pan-India K-12 schools.
What We’re Looking For
Strong verbal communication and interpersonal skills.
Ability and willingness to travel extensively within South India.
Basic comfort with digital tools like Google Sheets, Email, and mobile apps.
A sincere, mission-driven attitude — we want people who believe in improving education in India through innovation and action.
Join Us
Be part of the change. Join VADAI to transform schools, empower students, and build the future of AI in education — one school at a time.
Job Details*
- The candidate needs to have excellent skills as far as written communication in English is concerned. We handle several overseas processes and this job would involve communication with native English speakers, so we absolutely cannot compromise on this requirement.
- The candidate would need to have zeal to learn and should not shy away from contributing to processes that need help.
- We're looking for a down to earth individual who is willing to grow with us.
- No previous knowledge of HR required.
- The candidate should be equipped with excellent skills in basic mathematics, and should be familiar or willing learn the techniques for data driven manpower forecasting and estimation.
- The candidate should be willing to explore the field of data analytics and analytical HR.
- Since this might require the candidate to manage our international recruitment process, the candidate should be comfortable with working night shifts, if required.
- Non MBAs are more than welcome!
Job Summary*
We're a Saas startup and we have an urgent requirement for an HR Executive to help us with our domestic and overseas recruitment process.
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
JavascriptRoles and Responsibilities:
- Developing new user-facing features using React.js
- Developing and implementing highly responsive user interface components using react concepts.
- Writing application interface codes using JavaScript following react.js workflows.
- Experience with RESTful APIs
- Troubleshooting interface software and debugging application codes.
- Create database schemas that represent and support business processes.
- Implement automated testing platforms and unit tests.
- Optimize application for performance and speed.
- Implementation of security and data protection.
- Provide technical support to users.
Skills:
- At least 5 years of experience as a Java Developer or similar role
- Strong expertise in Java programming language and working Knowledge on Back-end technologies such as Spring/Spring Boot.
- In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
- Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
- Experience with user interface design.
- Familiarity with database technology such as MySQL, MongoDB.
- Good knowledge of Unit Testing.
- Experience with at least one of the Cloud Services such as AWS, GCP, Azure are plus.
- Familiarity with SCRUM methodologies
- Strong organizational and project management skills.
- Excellent verbal communication skills.
- Analytical and logical skills
- Good problem-solving skills.
Qualification:
- 3-4 years of experience working as a ReactJS Developer or in a similar role.
What we offer:
- Flexible working hours
- Up to 12 Lakh insurance
- Work-life balance
Docker
KubernetesYOUR ‘OKR’ SUMMARY
OKR means Objective and Key Results.
As a Cloud Engineer, you will understand the overall movement of data in the entire platform, find bottlenecks,define solutions, develop key pieces, write APIs and own deployment of those. You will work with internal and external development teams to discover these opportunities and to solve hard problems. You will also guide engineers in solving the complex problems, developing your acceptance tests for those and reviewing the work and
the test results.
What you will do
- End to End Complete RHOSP Deployment (Under and Overcloud) considered as a NFVi Deployment
- Installing Red Hat’s OpenStack technology using the OSP-director
- Deploying a Red Hat OpenStack Platform based on Red Hat's reference architecture
- Deploying managed hosts with required OpenStack parameters
- Deploying Three (3) Node Highly available (HA) Controller Hosts using Pacemaker and HAP Roxy
- Deploying all the supplied compute hosts that will be hosting multiple VNFs (SRIOV & DPDK)
- Implementing CEPH
- Integrate Software-defined storage (CEPH) with RHOSP, Red Hat OpenStack Platform Operation Tools as
per Industry standard & best practices
- Detailed Network configuration and implementation using Neutron networking - (VXLAN) network type
and Modular Layer 2 (ML2) Open Switch plugin
- Integrating Monitoring Solution with RHOSP
- Design and deployment of common Alarm and Performance Management solution
- Red Hat OpenStack management & monitoring
- VM Alarm and Performance management
- Cloud Management Platform will be configured for day-to-day operational tools to measure uponCPU/Mem/Network utilization etc. from VM level
- Baseline Security Standard) & VA (Vulnerability Assessment) for RHOSP.
Additional Advantage:
- Deep understanding of technology and passionate about what you do.
- Background in designing high performant scalable software systems with strong focus to optimize hardware cost.
- Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
- Strong commitment to get the most performance out of a system being worked on.
- Prior development of a large software project using service-oriented architecture operating with real time constraints.
What's In It for You
- You will get a chance to work on cloud-native and hyper-scale products
- You will be working with industry leaders in cloud.
- You can expect a steep learning curve.
- You will get the experience of solving real time problems, eventually you become a problem solver.
Benefits & Perks
- Competitive Salary
- Health Insurance
- Open Learning - 100% Reimbursement for online technical courses.
- Fast Growth - opportunities to grow quickly and surely
- Creative Freedom + Flat hierarchy
- Sponsorship to all those employees who represent company in events and meet ups.
- Flexible working hours
- 5 days week
- Hybrid Working model (Office and WFH)
Our Hiring Process
Candidates for this position can expect the hiring process as follows (subject to successful clearing of every round)
- Initial Resume screening call with our Recruiting team
- Next, candidates will be invited to solve coding exercises.
- Next, candidates will be invited for first technical interview
- Next, candidates will be invited for final technical interview
- Finally, candidates will be invited for Culture Plus interview with HR
- Candidates may be asked to interview with the Leadership team
- Successful candidates will subsequently be made an offer via email
As always, the interviews and screening call will be conducted via a mix of telephonic and video call.
So, if you are looking at an opportunity to really make a difference- make it with us…
Coredge.io provides equal employment opportunities to all employees and applicants for employment and prohibits
discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability
status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other
characteristic protected by applicable central, state or local laws.
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Java
NodeJS (Node.js)React.js
Express
MongoDB
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon