Team Lead - Salesforce Development

Key Roles And Responsibilities:

• Analyze requirements, functional specifications and create detailed level test cases
• Collaborate with QA Lead to implement effective strategies and test plans
• Ability to identify a set of test cases that will be a good fit for automation and scope out automation coverage for a particular project.
• Be ready to move test cases from manual to automation with pride.
• Contribute to the design and architecture of high-quality, complex systems and software environments focusing on mobile development, automation, and quality aspects
• Execute test cases scripts scenarios on schedule (Functional, Systems Integration, and Regression Testing), and open defects as needed
• Develop build test automation strategy and focus specifically on maximizing reusability for regression
• Design, build and execute automated tests.
• Identify regression testing needs and create and maintain an Automated Regression Suite
• Maintain automated scripts utilizing the existing framework, adhering to coding standards
• Create a weekly plan and weekly reports.
• Follow the Scrum process, participate in Scrum ceremonies and follow the incremental delivery model.

Qualifications:

• Educational background includes a degree (B.E/B.Tech/M.Tech) in Computer Science, Engineering, or a related field.
• Possess 8-12 years of hands-on experience in automation testing, including designing, implementing, and maintaining automated test scripts and frameworks. Demonstrated expertise in ensuring software quality and reliability through comprehensive automated testing processes.
• Capable of writing efficient, maintainable code for automation scripts, and leveraging language-specific libraries and frameworks to enhance testing capabilities.
• Experience working with Appium for mobile application automation testing. Skilled in setting up and configuring automation frameworks, ensuring seamless integration with testing processes for Android and iOS applications.
• Demonstrated ability to design and develop automation frameworks from scratch. Skilled in selecting appropriate tools and technologies, defining framework architecture, and implementing robust, scalable, and maintainable automation solutions tailored to project requirements.
• Must have experience in integrating mobile cloud platforms like Browser stack / Perfecto with automation framework
• Extensive experience in Maven for build automation, Jenkins for CI/CD, and TestNG for automated testing. Proficient in configuring and integrating these tools to streamline development workflows.
• Practical experience with Selenium WebDriver for automated testing of web applications. Skilled in writing, executing, and maintaining test scripts, ensuring cross-browser compatibility.
• Proficient in using JIRA for project management, GIT for version control, and databases for data storage and retrieval. Skilled in managing tasks, tracking progress, and performing database operations.
• Experienced in developing, testing, and deploying applications in both Android and Windows environments. Proficient in utilizing specific tools and frameworks for each platform.
• Strong understanding of API testing tools like SoapUI and Postman. Skilled in creating and executing test cases, validating responses, and ensuring API reliability, performance, and security.
• Familiarity with both android and Windows environments.
• Knowledge of API Testing tools such as SoapUI, Postman.

• PL ownership: Drive and ensure 100% achievement of the targeted sales numbers of the category. 
• Ensure Profitability by negotiating the best category margins, securing marketing support from brands, and focusing on delivering the budgeted top-line and bottom-line.
• Assortment planning: Ensure we have a competitive catalog compared to other players across brands and sub-categories. 
• Customer Experience: Anticipate and create solutions for customer pain points. Should be able to resolve customer escalation and deliver on the expected NPS for the category. 
• Category marketing: Create weekly, monthly, and quarterly calendars  Have joint marketing plans signed off with partner brands, execute the plan in coordination with the internal team
• Operational efficiency: Work with cross-functional teams like CS, Finance, Sales to ensure a smooth functioning system and to be able to deliver on the required set of parameters measured across each function
• Working with customers and merchandisers and finding new ways of expanding product categories.
• Responsible for demand and supply planning both sides of the business and planning marketing and sales strategies for the category growth.
• Joint Planning with Product / Sales and Marketplace team: Work closely with the marketplace team to ensure sufficient visibility to our products and jointly participate in the marketing events conducted on the platform.

1. 2-7 years of experience in global category roles, preferably digital categories.
2. Hands-on in Sales, Operations, and Category Management.
3. Strong analytical aptitude in problem-solving, multi-tasker, critical thinker, and a tactical executioner with a proven track record of finding solutions to business problems.
4. Good communication skills / Good analytical skills along with sales/marketing knowledge.
5. MBA from reputed colleges would be preferred 
6. Team management experience will be a plus, its cross functional role. 
7. A strategic thinker along with a growth mindset will be a right fit

A wholesome opportunity in a fast-paced environment will enable you to juggle between concepts yet maintain the quality of content, interact, share your ideas, and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Plum (a vertical in Company‍

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, San Francisco, and Dublin. We have three products in our portfolio: Plum, Empuls, and Compass. Plum works with over 1000 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

About the Company:

This opportunity is for an AI Drone Technology startup funded by the Indian Army. It is working to develop cutting-edge products to help the Indian Army gain an edge in New Age Enemy Warfare.

They are working on using drones to neutralize terrorists hidden in deep forests. Get a chance to contribute to secure our borders against the enemy.

Responsibilities:

• Extensive knowledge in machine learning and deep learning techniques
• Solid background in image processing/computer vision
• Experience in building datasets for computer vision tasks
• Experience working with and creating data structures/architectures
• Proficiency in at least one major machine learning framework such as Tensorflow, Pytorch
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Highly skilled in Python scripting language
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills

Educational Qualification:

MS in Engineering, Applied Mathematics, Data Science, Computer Science or equivalent field, with 3 years industry experience, a PhD degree or equivalent industry experience.

MyClassCampus is a product based SaaS Company from Ahmedabad providing ERP Solution to the EdTech Industry.

We are hiring QA Engineer

The Job Description is as follows:

#QualityAnalyst #QualityAssurance #ManualTester #QA #QC #Tester #IT

#Exp: 6 Months to 1.5 years

#Skill: #Manual_Testing

● Experience in testing web and mobile apps, ERP websites testing.

● Review and analyze system specifications

● Collaborate with Senior QA to develop effective strategies and test plans

● Execute test cases (manual) and analyze results

● Report bugs and errors to development teams

● Conduct post-release / Post-implementation testing

#Reason_to_join_us: * Good hike on current CTC

* Friendly Environments + Supportive staff

* Lots of celebrations of festivals and birthday

* Growing 5+ years old Product-based IT company

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models