11+ Play Framework Jobs in Chennai | Play Framework Job openings in Chennai

Role Proficiency:

Performs tests in strict compliance independently guides other testers and assists test leads

Additional Comments:

Position Title: - Automation + Manual Tester Primary

Skills: Playwright, xUnit, Allure Report, Page Object Model, .Net, C#, Database Queries

Secondary Skills: GIT, JIRA, Manual Testing Experience: 4 to 5 years ESSENTIAL FUNCTIONS AND

BASIC DUTIES

1. Leadership in Automation Strategy: o Assess the feasibility and scope of automation efforts to ensure they align with project timelines and requirements. o Identify opportunities for process improvements and automation within the software development life cycle (SDLC).

2. Automation Test Framework Development: o Design, develop, and implement reusable test automation frameworks for various testing phases (unit, integration, functional, performance, etc.). o Ensure the automation frameworks integrate well with CI/CD pipelines and other development tools. o Maintain and optimize test automation scripts and frameworks for continuous improvements.

3. Team Management: o Lead and mentor a team of automation engineers, ensuring they follow best practices, writing efficient test scripts, and developing scalable automation solutions. o Conduct regular performance evaluations and provide constructive feedback. o Facilitate knowledge-sharing sessions within the team.

4. Collaboration with Cross-functional Teams: o Work closely with development, QA, and operations teams to ensure proper implementation of automated testing and automation practices. o Collaborate with business analysts, product owners, and project managers to understand business requirements and translate them into automated test cases.

5. Continuous Integration & Delivery (CI/CD): o Ensure that automated tests are integrated into the CI/CD pipelines to facilitate continuous testing. o Identify and resolve issues related to the automation processes within the CI/CD pipeline.

6. Test Planning and Estimation: o Contribute to the test planning phase by identifying key automation opportunities. o Estimate effort and time required for automating test cases and other automation tasks.

7. Test Reporting and Metrics: o Monitor automation test results and generate detailed reports on test coverage, defects, and progress. o Analyze test results to identify trends, bottlenecks, or issues in the automation process and make necessary improvements.

8. Automation Tools Management: o Evaluate, select, and manage automation tools and technologies that best meet the needs of the project. o Ensure that the automation tools used align with the overall project requirements and help to achieve optimal efficiency.

9. Test Environment and Data Management: o Work on setting up and maintaining the test environments needed for automation. o Ensure automation scripts work across multiple environments, including staging, testing, and production environments.

10. Risk Management & Issue Resolution:

• Proactively identify risks associated with the automation efforts and provide solutions or mitigation strategies.

• Troubleshoot issues in the automation scripts, framework, and infrastructure to ensure minimal downtime and quick issue resolution.

11. Develop and Maintain Automated Tests: Write and maintain automated scripts for different testing levels, including regression, functional, and integration tests.

12. Bug Identification and Tracking: Report, track, and manage defects identified through automation testing to ensure quick resolution.

13. Improve Test Coverage: Identify gaps in test coverage and develop additional test scripts to improve test comprehensiveness. 14. Automation Documentation: Create and maintain detailed documentation for test automation processes, scripts, and frameworks.

15. Quality Assurance: Ensure that all automated testing activities meet the quality standards, contributing to delivering a high-quality software product.

16. Stakeholder Communication: Regularly update project stakeholders about automation progress, risks, and areas for improvement.

REQUIRED KNOWLEDGE

1. Automation Tools Expertise: Proficiency in tools like Playwright, Allure reports and integration with CI/CD pipelines.

2. Programming Languages: Strong knowledge of languages such as .NET and test frameworks like xUnit.

3. Version Control: Experience using Git for script management and collaboration.

4. Test Automation Frameworks: Ability to design scalable, reusable frameworks for different types of tests (functional, integration, etc.).

5. Leadership and Mentoring: Lead and mentor automation teams, ensuring adherence to best practices and continuous improvement.

6. Problem-Solving: Strong troubleshooting and analytical skills to identify and resolve automation issues quickly.

7. Collaboration and Communication: Excellent communication skills for working with cross-functional teams and presenting test results.

8. Time Management: Ability to estimate, prioritize, and manage automation tasks to meet project deadlines.

9. Quality Focus: Strong commitment to improving software quality, test coverage, and automation efficiency.

Skills: xUnit, Allure report, Playwright, C#

We are looking for a highly skilled Backend Developer with expertise in Core Java, Java 8, and Data Structures. The ideal candidate should have experience in Spring Boot, JPA/Hibernate, and Microservices architecture. If you are passionate about backend development and want to work in a dynamic environment, we’d love to hear from you!

Key Responsibilities:

• Develop and maintain backend applications using Core Java and Java 8.
• Design and implement RESTful and SOAP web services.
• Work with Spring Framework, Spring Boot, and JPA/Hibernate for backend development.
• Build and optimize microservices-based architectures.
• Manage databases such as PostgreSQL, MySQL, or Oracle.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Write clean, efficient, and scalable code while following best practices.
• 
  

Requirements:

✅ Strong hands-on experience in Java (Core Java, Java 8) and Data Structures.

✅ Proficiency in Spring, Spring Boot, JPA/Hibernate.

✅ Experience in developing and consuming RESTful & SOAP APIs.

✅ Knowledge of Microservices architecture and best practices.

✅ Database expertise in PostgreSQL, MySQL, or Oracle.

✅ Excellent verbal and written communication skills.

Nice to Have:

• Experience with Docker/Kubernetes.
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to cloud platforms (AWS, GCP, or Azure).

Position: Logistics Specialist

Experience: 8 - 12 years in logistics and warehouse

Work location: Chennai

• You will be responsible for the inventory management, warehousing and logistics activities associated with the distribution.
• Coordinate end to end Warehouse Operations Inbound, Outbound ,Transportation and 3PL operations
  Drive efficient processes to enhance warehouse operations
• Controls inventory levels by conducting physical counts; reconciling with data storage system
• Experience with SAP order to cash process.(MM&SD Module) Excellent spreadsheet modeling skills required.

• Hands-on knowledge of BDD Cucumber Framework
• Hands-on knowledge of Maven
• Appium hands-on
• Jenkins hands-on
• Hands-on knowledge of API testing techniques and usage of API tools SOAP UI/JMeter (REST /SOAP)
• Rest api automation using rest assured
• Usage of Postman or JMeter tool to modify requests to validate multiple outputs on scenarios.
• Analyze results of tests and to be able to update existing test suits after API changes
• Basic Knowledge about CI/CD Concepts
• Exposure to UI Automation, Selenium, JAVA Rest Assured, TestNG
• Experience using at least one defect management tool – JIRA, HP ALM, ADO etc

Job Description – Data Science  

Basic Qualification:

• ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
• Strong Analytical skills and application of Statistical techniques to problem solving
• Expertise in algorithms, data structures and performance optimization techniques
• Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
•   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
• Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  
• Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  
• Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  
• Mentor team members towards developing quick solutions for business impact.
  
• Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
  

• 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  
• Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  
• Knowledge on Microsoft Azure will be desired.
  
• Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  
• Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  
• Experience in infra development / building platforms is highly desired.
  
• A drive to learn and master new technologies and techniques.
  

• Discussing project aims with the client and development team.
• Designing and building web applications using Laravel.
• Troubleshooting issues in the implementation and debug builds.
• Working with front-end and back-end developers on projects.
• Testing functionality for users and the backend.
• Ensuring that integrations run smoothly.
• Scaling projects based on client feedback.
• Recording and reporting on work done in Laravel.
• Maintaining web-based applications.
• Presenting work in meetings with clients and management.

• A degree in programming, computer science, or a related field.
• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Laravel.
• Knowledge of database design and querying using SQL.
• Proficiency in HTML and JavaScript.
• Practical experience using the MVC architecture.
• A portfolio of applications and programs to your name.
• Problem-solving skills and critical mindset.
• Great communication skills.
• The desire and ability to learn.

Must Have:

1. Strong proficiency with .Net Core API development
2. Experience with caching approaches for API
3. Hands on with SQL Server and its variation among popular databases
4. Well versed with stored procedures, query plans, altering the indexes, and troubleshooting the performance holdups
5. Skilled at performance optimization of .NET APIs
6. Experience & Knowledge on Open API specification & swagger documentation
7. Experience in building Cloud Native Applications
8. Experience in Microservices architecture
9. Has worked on the deployment of applications using Docker
10. Has Knowledge of Kubernetes
11. Has Experience with Cache systems like Redis.

Nice to Have:

1. Familiar with .NET design patterns
2. Performance tuning of SQL Stored Procedures

Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s 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. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.