Sales Head

Senior Automation Engineer

Job Overview: We are seeking a Playwright Tester to join our Quality Assurance (QA) team. In

this role, you will be responsible for creating, maintaining, and executing automated end-to-

end tests for our web applications using the Playwright framework. You will work closely with

developers and QA engineers to ensure the reliability, performance, and quality of our web

applications through efficient and effective test automation.

Experience range: 6+ years

Key Responsibilities:

 Develop and maintain automated test scripts for web applications using Playwright.

 Collaborate with developers to understand application features and requirements to design and implement test cases.

 Execute automated tests, identify defects, and track them through to resolution.

 Continuously improve the test automation framework to increase test coverage and efficiency.

 Analyze test results and provide clear, actionable feedback on software quality.

 Participate in the design and implementation of testing strategies for new features and releases.

 Ensure that test scripts are scalable and reusable, leveraging Playwright's features for parallel test execution and cross-browser testing.

 Work closely with cross-functional teams to troubleshoot and resolve issues discovered during testing.

 Document and maintain test cases, test plans, and test scripts for easy reference and reproducibility.

 Integrate Playwright tests with Continuous Integration/Continuous Deployment (CI/CD) pipelines.

 Provide support in manual testing when necessary and assist with regression testing.

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

Software Engineer/ Associate Software Engineer Full stack/ Java track/ UI/ Android

Skills required: -

• Strong knowhow of data-structures and algorithms. -

• Strong core server-side technologies experience (Java/ other) and / or having any of front end/UI skills (Angular, JS, HTML).
  Knowledge of Android is a huge plus. -

• Strong understanding of OO/ design and good software development practices. 

• Strong database skills and good knowhow of databases. -

• Exposure to configuration management, testing, deployment. -

• Hands on development across technologies.

• Exp - 2-4 years
  B.E/ B.Tech (Computer Science/ Equivalent) from a reputed institute.

   

Alternately: -

• Excellent front end/UI skills (JS, HTML, Angular, Flutter) and OR Android skills. 

• Understanding of nodeJS, server-side technologies, exposure to databases. 

• Deep knowhow of data structures, algorithms. -

• Hands on development across technologies.

• Exp- 2-4yrs

• Grad- B.E/ B.Tech (Computer Science/ Equivalent) from a reputed institute