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About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
A Senior Automation Test Engineer at HappyFox is an integral part of the QA team responsible to ensure product quality and integrity with a special focus on the development and execution of test automation.
Responsibilities:
- Owning the quality of any deliverables including new features and enhancements.
- Working closely with the product team in understanding the requirements and user workflow.
- Developing and executing test plans and test cases with a strong emphasis on using code to solve technical challenges and shorten the regression test cycle through automation.
- Performing automated API testing.
- Contributing to building of a Continuous Integration (CI) environment and ongoing process improvement activities.
- Identifying required improvements in the test and development processes; making contributions to our automation tools that address specific needs.
- Raising defects/bugs and tracking them till closure.
Requirements:
- Minimum 5 years of relevant experience in QA with at least 3 years of experience in automation.
- Expertise in Selenium tool for automation testing.
- Good understanding of the Agile software development methodology (Kanban or Scrum) and QA's role in it.
- Good knowledge of object-oriented programming, along with requisite coding and debugging skills.
- Design and development skills in Python and/or Java.
- Some knowledge of continuous integration practices.
- Excellent verbal and written communication skills.
- Experience working in SaaS based product company (optional)
- Knowledge of Performance / Load testing tool (optional)
- Experience working for a bootstrapped high-growth startup (optional)
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
We are looking for an Automation Test Engineer with a natural flair for solving complex problems and making life easier for others. You'd be a part of our dynamic QA team responsible for maintaining and enhancing the quality of our products.
Responsibilities:
- Owning the quality of any deliverables including new features and enhancements
- Working closely with the product team in understanding the requirements and user workflow
- Writing highly efficient manual test cases and performing functional, ad-hoc and regression testing
- Designing, developing and executing automation test scripts
- Raising defects/bugs and tracking them till closure
Requirements:
- Bachelor's degree in engineering/IT/computer science or related field
- 2-4 years of relevant work experience in software testing
- Professional automation QA experience, using Selenium Webdriver with Python and/or Java
- Experience in using a defect tracking system to report, track and resolve defects
- Good understanding of the Agile software development methodology (Kanban or Scrum)
- Passion for software quality assurance, problem detection and analysis
- Experience working in SaaS based product company (optional)
- Worked for a bootstrapped high-growth startup (optional)
· Good in designing, developing, and implementing Software architecture adhering to the standard software development principles
· Experience in past paced, dynamic, agile software development/maintenance environments
· Experience in Agile (Scrum/Kanban) development methodology
· Good in effort estimation of work items
· Product engineering experience preferred but not a must
· Good communicator who can articulate and translate business requirements into technical implementation
· Good working knowledge of CI/CD environments, TFS, azure, etc.
· Understanding of Cloud Environments will be added advantage
.Minimum of 5 yeares expereince in .NET development Knowledge and drive to ensure quality by implementing unit tests Passion for quality, speed, and optimisation within the development process Experienced with agile development using Scrum/Kanban Experience with dependency injection and domain driven architectural styles Experience with the following technologies and concepts: .Net, MVC, Web api, React or Angular, SQL Experience with Git-based source control products (GitHub, Bit-bucket) |
Job Description
Company is looking for a candidate who has a strong background to guide the Scrum Team on using agile practices and principles to deliver high quality products and contributing to the advancement and improvement of agile practices within the organization.
Skills
Scrum Framework and agile frameworks like Kanban, JIRA/Confluence.
What you need to succeed in this role
- Managing project scope and timelines
- Facilitating daily scrum, sprint planning and retrospective meeting
- Ensuring the team adheres to Scrum theory, practice, and guidelines
- Ensure each person is working on the right tasks to ensure timely and high-quality delivery
- Enabling collaborative processes and removing impediments for the scrum team
- 3+ years of experience in Jira, Scrum management, product delivery and project management
- A scrum master certification (CSM) would be a strong plus
Benefits of joining us
- Ability to join a small and growing team, and work with some of the coolest people you've ever met
- Opportunity to make an impact, and leave your mark on this organization.
- Competitive compensation, with the ability to shape your own career trajectory
- Go Extra Mile with Learning and Development
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and 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 this company.
We are
A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Company works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.
Way forward
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. We however 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.
Looking to hire a Machine Learning Engineer
Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using 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 strong experience 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 have a proven ability to drive business results with their data-based insights. 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.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results