The kind of candidates we are looking who has good experience in support role, Must work in L1 &L2, ready to work in 24/7 environment, good to have someone worked in ERP OR Mobile App Support.
Job Requirement:
• Good understanding of QA methodologies, procedures and QA documentation. Design, develop and maintain test cases.
• Work closely with onsite team & client on Application Support, Maintenance & Implementation tasks.
• Must be able to perform detailed analysis from logs, Query results for an issue reported
• Must be willing to work work in Shift Environment including night shifts and in 24x7 mode, even on Public Holidays as per roaster setup.
• Ready to travel on client site (even on short notice)
• Have sound knowledge about at least one Incident Management system/application.
• Can able to work as an individual contributor and within team as well
• Maintain relevant status reports, in timely manner
• Self-motivated, goal oriented, self-driven, strong interpersonal skills
Desired Candidate Profile:
• IT Graduate
• 3-5 years of technical experience in Application Support, Maintenance & Implementation projects, on a complex environment.
• Recent 2 years of experience in Logistics (Shipping) industry, preferably. Knowledge of Container port Operations is Preferrable
Shubham Vishwakarma
Full Stack Developer - Averlon
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Role - Manager - Paid Social, India (Gurgaon, Bangalore, Mumbai)
Overview of job -
Our Client is the world’s largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for an Manager – Performance Marketing for its Services Hub . In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup. This role assumes responsibility of crafting a performance strategy for clients and create success stories.
This role reports to the Director – Performance Marketing
What your day job looks like -
● Develop strong relationships with counterparts in regional teams (Europe, U.S., Asia)
● Support the training and growth of your local Social team
● Enforce Social best practices with a focus on platform expertise, consistency, and quality of work delivery
● Be accountable for consistent work delivery to regional teams by ensuring a high quality of output
● Serve as point of escalation for your team and take ownership of resolving any issue
● Provide career development and coaching for your team
● Line manage 2-5 direct reports
● Provide timely and actionable feedback to the team to aid in their development, improvement, and progress. Provide awareness and recognition for jobs well done
● Present strong and effective communication across all levels
What you’ll bring:
● You are proficient in English
● You have 5+ year experience of planning and managing Social campaigns
● You have a high-level knowledge of Paid social platforms
● You possess strong analytical skills and a natural affinity for numbers ● You are able to examine raw data, draw conclusions and develop actionable recommendations as needed
● You have experience maintaining quality standards at scale
● You have experience providing service to local teams from a centralized location
● You have a passion for everything digital, with an active interest and understanding of online advertising industry trends
● You have excellent communication skills, both verbal and written
● You are proficient in Microsoft Excel and Google Sheets
About the Company:
Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Why Gruve:
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Position Summary
We are seeking a System Test Engineer with expertise in SaaS applications providing cybersecurity solution to join our dynamic team. The ideal candidate will play a critical role in testing, validating, and ensuring the reliability and security of our SaaS-based cyber security platform. This position requires strong analytical skills, hands-on experience with automation, and a deep understanding of cloud environments, networking protocols, firewalls and security frameworks.
Key Roles & Responsibilities
- Design, develop, and execute system-level test plans, test cases, and automated test scripts for a SaaS-based cyber security platform.
- Validate end-to-end functionality, scalability, and performance of security applications integrated with external ITSM systems.
- Develop and maintain automation frameworks to streamline test execution and enhance test coverage.
- Conduct security, performance, and regression testing to identify vulnerabilities, bottlenecks, and reliability issues.
- Test and validate the functionality of agents that connect with the SaaS platform.
- Work closely with development, product management, and DevOps teams to troubleshoot issues and ensure high-quality product releases.
- Implement and execute API testing, system integration testing, and user acceptance testing.
- Participate in test strategy planning and provide feedback for continuous improvement of the test process.
Basic Qualifications
- A bachelor’s or master’s degree in computer science, electronics engineering or a related field
- 3-12 years of experience in system testing for SaaS applications and Cyber Security platforms.
- Strong knowledge of networking protocols (TCP/IP, HTTP/HTTPS, DNS, VPN, IPSec, TLS, etc.).
- Strong understanding of security concepts such as firewalls, IDS/IPS, zero-trust architecture, and cloud security controls.
- Hands-on experience with test automation tools (Selenium, Robot Framework, PyTest, etc.).
- Proficiency in scripting and automation using Python, Bash, or similar languages.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with CI/CD pipelines and DevOps processes.
- Strong troubleshooting and debugging skills in distributed systems and cloud environments.
Preferred Qualifications
- Knowledge of security frameworks such as SOC2, ISO 27001, and compliance standards.
- Experience with security testing tools such as Burp Suite, Nessus, Wireshark, or Metasploit.
- Familiarity with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
- Certifications such as AWS Certified Security - Specialty, CCNA Security, CISSP, or CEH are a plus.
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.
NodeJS (Node.js)
MongoDB
Redis
Elastic SearchKunato.AI is a NY-based IT firm helping to create the first marketplace that monetizes digital content on the internet (i-commerce). We have a patented technology - a quantitative deep tech system that predicts, assigns and updates the value of any digital content in real-time without the need for human intervention.
Our system has the potential to create a new digital goods marketplace that will revolutionize the way we consume, create and search for content on the Internet.
We are at an exciting juncture of our growth journey and are looking for Software Developers to join us in making this vision a reality. We are looking for Nodejs Developers (with 2-6years of experience) to join our cutting-edge development team as it grows. The candidate must be comfortable working in an agile environment and can take the lead when necessary. If you are keen on being part of an early-stage start-up with an emphasis on innovation and best development practices, we are the right place for you!
What will you be working on?
- We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users.
- Your primary focus will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front end.
- You will be responsible for developing the product as per the product specification defined by the product managers
- Perform research on the best methods of implementing the requirements. Author and curate technical documentation to support delivery, maintenance, and adoption
- Work with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise governance strategies to optimize the overall performance
- Design and develop automated deployment and maintenance mechanisms
- Solving development challenges and making architectural decisions by understanding the larger picture of the projects goals
- Confidently communicating and collaborating with your fellow developers in a remote team environment.
- Maintain high standards of software quality within the team by establishing good coding practices.
What are we looking for?
- Must have experience in Nodejs.
- Have excellent knowledge of different data structures and algorithms
- Working knowledge of any other programming languages is good to have
- Experience with, or understanding of, Kafka or Redis, Cloud infrastructure services, Docker is an added advantage
- Experience with SQL or NoSQL databases, MySQL, MongoDB, Elasticsearch, etc.
- Experience in Backend and APIs development
- Experience in analyzing and optimizing the platform’s performance
We look forward to hear from you:)
.NETof work will include everything from back-end to client-side code, using optimal and efficient technologies,
frameworks, and patterns. The primary responsibilities will be to design and develop these applications.
Therefore, its essential that the candidate is skilled at problem solving, solution design, and high-quality
coding. Ability to manage Project and Project Team independently.
"The Candidate must be a hardcore developer with min 2+years of experience. He should have experience
in ASP.net core, MVC4/ 5, Web API’s development & MySQL .
Ruby on Rails (ROR)
RubyRuby on Rails Developer Responsibilities:
• Designing and developing new web applications.
• Maintaining and troubleshooting existing web applications.
• Writing and maintaining reliable Ruby code.
• Integrating data storage solutions.
• Creating back-end components.
• Identifying and fixing bottlenecks and bugs.
• Integrating user-facing elements designed by the front-end team.
• Connecting applications with additional web servers.
• Maintaining APIs.
Ruby on Rails Developer Requirements:
• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Experience working with Ruby on Rails as well as libraries like Resque and RSpec.
• Ability to write clean Ruby code.
• Proficiency with code versioning tools including Git, Github, SVN, and Mercurial.
• Experience with AngularJS or BackboneJS.
• Familiarity with MVC, Mocking, RESTful, and ORM.
• Good understanding of front-end technologies including HTML5, JavaScript, and CSS3.
• Knowledge of server-side templating languages including Slim and Liquid.
- Databases- MongoDb, Postgres.
Looking for candidates with exposure to B2B space.
We are looking for a UI Designer. Please find below the JD for your kind perusal.
Experience and skill-sets:
Experience in visual user interface design and within it have significant experience in designing for business enterprise solutions.
Ability to create clean, visually consistent designs.
Understanding and appreciation of standard user interface design concepts and processes, especially experienced in creating and managing ‘Design Systems’ would be an advantage.
In-depth knowledge of Photoshop, XD, Illustrator, Sketch, Figma, and Zeplin.
Experience with animation tools like Principle, Invision, etc would be a plus.
Excellent communication skills, including the ability to present complex concepts clearly and persuasively across diverse audiences at various levels of our organization.
Meticulous attention to detail and exceptional organizational skills.
Proven ability to manage multiple design requests in a timely fashion, with competing priorities and deadlines.
Experience testing websites and software on a variety of platforms including iOS and Android mobile and devices.
Previous experience with user-centered design principles and practices, web/mobile standards, typography and color, and web/mobile usability standards.
I have contributed as a leader in the design and a strong collaborator across product managers and engineers.
Knowledgeable in creating wireframes, visual mockups graphics, user workflows, and low and high-fidelity prototypes.
Ability to work with designers and developers to implement new ideas
Business know-how: Understanding of business metrics and the ability to translate company goals and objectives into digital experiences
Primary responsibilities
Own the user interaction experience, including but not limited to the visual design of the product. This means managing and evolving the design system.
Drive and own the design process along with the rest of the product team.
Conduct Usability Testing to validate design concepts; i.e. Create prototypes to show and demonstrate interactions.
Employ design thinking and questioning techniques to develop strategies and execution plans where pathways are not always obvious.
Help develop and lead the design team to improve the range of design reviews and research methods used. Provide and encourage feedback from your team and other designers.
NodeJS (Node.js)
React.jsJob Description
Experience: 5+ years
Location: Bangalore (Remote)
Roles and Responsibilities
- Design and code features in the front-end and back-end as per the specifications provided by the Product and Design teams.
- Ship features in fast moving agile sprints.
- Work closely with Product Design and Product Management teams to brainstorm and chalk out details of features.
- Ability to build a feature from scratch & drive it to completion.
- Strong skills in architecting database models.
- Ability to document your code as this will be an open-core project.
- Ability to write unit, integration, and end to end tests.
- Conduct peer code review.
Skills
Must have:
- Strong understanding of Javascript, Typescript, NodeJS.
- Good understanding of asynchronous programming, callback, and closures.
- Experience developing applications that use queues like SQS, RabbitMQ, Kafka, etc.
- Experience with AWS services like S3, EC2, etc.
- Experience with Docker.
- Strong experience with ReactJS: hooks, functional programming, and optimizing render functions.
- Good knowledge of CSS.
- Experience with creating cross-browser compatible web apps.
- Should be strong in Postgres database.
- Test driven development and use of frameworks like Mocha, Cypress.
- Strong proficiency in English and writing skills.
Good to have
- Basic knowledge of CI, CD
- Intermediate knowledge in any cloud services (AWS, GCP)
- Have created GraphQL APIs or worked with the Apollo framework.
- Have built previous functionality for CRM, marketing, or customer support tools.
- Have worked in open source project previously.
Responsibilities:
- Implement effective sourcing, screening, and interviewing techniques
- Developing fair HR policies and ensuring employees understand and comply with them
- Manage employee relations, employee engagement, appraisals, PF, ESI, etc.
- Act as the point of contact regarding labor legislation issues
- Manage employees’ grievances
- Create and run referral bonus programs
- Oversee daily operations of the HR department
Requirements:
- Must have at least 2+ years experience in Human Resource in manufacturing/industrial company.
- Proven work experience as an HR Executive, HR Manager or similar role
- Familiarity with Human Resources Management Systems and Applicant Tracking Systems
- Experience with full-cycle recruiting
- Good knowledge of labor legislation (particularly employment contracts, employee leaves, and insurance)
- Demonstrable leadership abilities
- Solid communication skills
- BSc/MSc in Human Resources Management or relevant field
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon