Business Developer

Role & Responsibilities

Vendor Management & Negotiation: Manage vendor relationships, negotiate local rates to meet cost-per-unit targets, and ensure timely delivery of products.

Inventory Monitoring: Track stock levels, share daily reports on low inventory, and ensure minimum order quantities (MOQ) are met.

Purchase Order Coordination: Map/unmap products, raise POs with desired vendors, and monitor negative margins at product level.

Cross-functional Collaboration: Meet regularly with the Business Operations and Growth teams to align on stock availability, sales plans, and product launches.

Payment & Delivery Follow-up: Coordinate with Finance on vendor payments to avoid delays, and ensure smooth vehicle offloading at Distribution Centers (DC).

Vendor Sourcing: Identify and onboard alternate vendors to maintain product availability and address supply gaps.

Stock Management: Monitor put-away status of inventory, manage slow-moving stock, and support sales strategies for excess inventory.

Reporting & Analysis: Provide regular performance updates, including benchmarking new products, sales plans, and launch strategies.

Key Responsibilities

Execute comprehensive manual test cases for our e-commerce platform

Design and implement automated test scripts using Selenium or Playwright

Work with AI-based testing tools to enhance testing efficiency and coverage

Identify, document, and track bugs throughout the testing lifecycle

Collaborate with developers and product managers to resolve issues

Participate in sprint planning and review meetings

Create and maintain testing documentation

Requirements

Minimum 2+ years of hands-on software testing experience

Strong manual testing skills with attention to detail

Experience with test automation frameworks (Selenium or Playwright)

Familiarity with AI-based testing tools and approaches

Understanding of e-commerce platforms and their testing requirements

Excellent problem-solving and analytical skills

Strong communication and collaboration abilities

Experience with agile testing methodologies

Selection Process

Our hiring process involves practical assessment to ensure candidates have the hands-on experience we require:

Initial screening and interview

First-round technical assessment (practical task)

Technical interview

Second-round technical assessment (practical task)

Final interview

Note: Completion of the practical assessment tasks is mandatory for all candidates as we prioritize demonstrated skills and hands-on experience.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

• Design and Build sophisticated and highly scalable apps using Flutter.
• Build custom packages in Flutter using the functionalities and APIs already available in native Android and IOS.
• Translate and Build the designs and Wireframes into high-quality responsive UI code.
• Write efficient queries for core Data.
• Use of Model-View-Controller (MVC) and Model-View-View Model-Controller (MVVM) as it relates to designing, developing architecture and developing maintainable, testable, and functional software that meets product requirements.
• Explore feasible architectures for implementing new features.
• Suggest space and time-efficient Data Structures.
• Follow the best practices while developing the app and keep everything structured and well documented.
• Use CI/CD for smooth deployment.
• Document the project and code efficiently.
• Manage the code and project on Git in order to keep in sync with other team members and managers.
• Communicate with the Project Manager regarding status of projects and suggest appropriate deadlines for new functionalities.
• Ensure security guidelines are always followed while developing the app.
• Validate the cloud system to ensure any new changes do not compromise the security of the backend server.
• Suggest new features and/or enhancements.
• Consulting with our customer-facing representatives about software system design and maintenance.
• Maintaining software through product lifecycle including design, development, verification and bug fixes.
• Connect regularly with the Quality Assurance Specialist to deliver a stable app.
• Resolve all the bugs reported by the Quality Assurance Specialist in a timely manner.
• Perform time profiling and memory leaks assessment.
• Execute app verification protocol.
• Write tests for the App.
• Following company policies and quality procedures to ensure quality product deliverables.

Node.js Developer Responsibilities:

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

Node.js Developer Requirements:

• Bachelor's degree in computer science, information science, or similar.
• At least 4 years' experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

Job Description

• Minimum 3+ yrs of Experience in DevOps with AWS Platform

• Strong AWS knowledge and experience

• Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)

• Experience with IAC tools Terraform

• Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)

• Significant experience with Linux operating system environments

• Experience with infrastructure scripting solutions such as Python/Shell scripting

• Must have experience in designing Infrastructure automation framework.

• Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)

• Excellent problem-solving, Log Analysis and troubleshooting skills

• Experience in setting up centralized logging for system (EKS, EC2) and application

• Process-oriented with great documentation skills

• Ability to work effectively within a team and with minimal supervision

Fast pace startup is looking for a kickass all-rounder!

Domain - Food

Responsibilities

- Activating new areas

- Boost sales on Swiggy and Zomato for new locations

- Handle b2b sales in Pune/Mumbai