11+ Tosca Jobs in Chennai | Tosca Job openings in Chennai

Work Location: Chennai

Exp:3-6 yrs (Associate).

Notice:  Immediate to 30 days.

Required Skills: 

• Experience with Test Design/Execution with Tricentis (Tosca), Selenium Apptus
• Experreince with SAP Agile & Salesforce.
• Automation of Web Portal/Service.
• Framwork Creation, Script Creation and Maintainence.
• Managing requirment in terms of Automation.
• Ability to work individually and also in a team as and when required.
• writing and executing codes with respect to the software and its specifications.
• Maintaining test scripts inventories
• Able to create test plan/strategies for automated tests
• Creating required data for test cases

We are looking for a MuleSoft RPA & IDP Developer with at least 5 years of experience in developing and implementing MuleSoft-based automation and integration solutions. The ideal candidate should be proficient in MuleSoft RPA (Robotic Process Automation) and IDP (Intelligent Document Processing) and have hands-on experience with Mule ESB, Anypoint Platform, API Management, and integration workflows.

• Key Responsibilities:Develop and implement automation solutions using MuleSoft RPA & IDP.
• Design and build integration flows using Mule ESB, Anypoint Platform, and API Management.
• Create and configure MuleSoft Connectors for seamless data exchange between systems.
• Optimize business processes by integrating automation solutions into enterprise applications.
• Troubleshoot and debug integration issues to ensure seamless data flow and automation.
• Collaborate with stakeholders to gather requirements and implement best practices for integration.
• Ensure compliance with security standards and industry best practices.
• Required Skills & Experience:5+ years of experience in MuleSoft development, including Mule ESB, Anypoint Platform, API Management.
• Hands-on experience with MuleSoft RPA & IDP for automating business processes.
• Strong experience in designing RESTful APIs, SOAP services, and DataWeave transformations.
• Expertise in integrating cloud-based and on-premise applications using MuleSoft Connectors.
• Knowledge of error handling, logging, security, and performance optimization in MuleSoft.
• Experience in CI/CD deployment processes for MuleSoft applications.
• Strong problem-solving skills and ability to work independently.
• Preferred Qualifications:MuleSoft Certifications (MuleSoft Certified Developer / Architect)
• Experience with Java, Spring Boot, and other integration tools is a plus.
• Prior experience in banking, healthcare, or financial domains is a bonus.
• Application Process:Immediate joiners preferred. Candidates currently serving their notice period and available to join before month-end will be given priority.

Position: Manager/Head- Data Scientist/Machine Learning Engineer

• Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
• AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
• Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
• Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
• Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.

Qualifications and Experience:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
• 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
• Proven track record of successful implementation of AI/ML models with tangible business impact.
• Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with image data, including feature extraction, object detection, and classification.
• Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.

DevOps Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

• 3-5 years of experience developing and implementing software applications.
• Previous experience working as a React.js Developer.
• Knowledge in e-Commerce domain will be a plus.
• In-depth knowledge of JavaScript, CSS, HTML and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with REST API's 
• In-depth understanding of Javascript, the DOM, and relevant concepts.
• Knowledge of modern authorization mechanisms, such as JSON Web Token. 
• Experience with user interface design.
• Proficient understanding of cross-browser compatibility issues and ways to work around them.
• Experience with browser-based debugging and performance testing software.
• Proficient understanding of code versioning tools, such as Git, Github.
• Excellent troubleshooting skills.

Responsibilities  

• Writing code to solve moderate to complex domain problems for various product and solution areas.

• Developing web application- Writing Unit test.

• Come up with designs and prototypes for pre-design and feasibility study activities

Requirements

• Expertise in JavaScript, JQuery and ASP.Net

• Hands-on experience working with Microsoft SQL Servers.

• Minimum one year of experience in React JS is a must

• Should be able to use Web API.

• Bachelor/Master's in computer science or relevant fields
• 10+ years of Relevant Experience
• Strong sense of ownership
• Excellent Java and object-oriented development skills
• Experience in building and scaling microservices
• Strong Knowledge in RDBMS & NoSQL databases
• Strong problem-solving skills, technical troubleshooting and diagnosing
• Expected to be a role model for young engineers, have a strong sense of code quality, and enforce code quality within the team
• Excellent understanding of Debugging performance and optimization techniques
• Experience in Java, Mongo, MySQL, AWS technologies, ELK stack, Spring boot, Kafka
• Experience in developing any large scale Experience in cloud technologies
• Demonstrated ability to deliver in a fast-paced environment

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, 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 relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Experience: 9 to 16 Yrs

Notice Period: Immediate to 15 days

Job Description:

- The Lead Engineer is responsible for deriving the technical architecture, detailed design, implementation, Performance, and Scalability of the developed system.

- The individual should be capable of single-handedly understanding the requirement, liaison with the product owner and external teams; produce the technical output required.

- Strong Leadership skills to contradict, produce a new design to current trends is required.

- Should be an avid technology enthusiast with strong views on technical architecture.

Technical Skills:

1) Strong Python and Mongo DB is mandatory

2) Web Application Architecture - One Large Project Experience of Development & Maintenance

3) Knowledge in one or more frameworks like WSGI(uwsgi), Django, Flask, Web Application development

4) Exposure to Databases like MongoDB, BigQuery, Elastic Search, Redis, etc.,

5) Knowledge of Code Quality Process and Discipline (Git, Jenkins, etc)