Location: Remote Programming Skills : Proficiency in programming languages such as Python, JS/NodeJS, and .NET Machine Learning Frameworks : Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable. Data Handling and Processing : Experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial. Deep Learning : Knowledge of deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more. Software Development Practices : Familiarity with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models. Cloud Computing : Experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment. System Design : Ability to design scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications. Problem Solving : Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation. Collaboration and Communication : Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives. Hands-on Experience : 5-7+ years of technical implementation experience What would be great to have: Experience in the FinancialServices Industry and an understanding of relevant compliance standards and regulations. Certification in AI/ML or relevant technologies. Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI

Role & responsibilities We are looking for Data Scientist position with US MNC company for permanent role, Remote. Preferred candidate profile Mandatory Skills : 5 Years + relevant experience in data science. Experience in RAG implementation pipeline. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience in the Financial Services Industry and an understanding of compliance standards. (Preferred) Experience with Master data management, Data Wrangling and ETL Processes. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Certification in Data Science or AI/ML.

Role & responsibilities We are looking for Dot Net Fullstack Developer for permanent position with MNC company for Pune/Bangalore/Chennai/Hyderabad location. Preferred candidate profile Experience in Dot Net Development : Asp.Net, C#, MVC, SQL Server. Exposure in Angular or React JS .

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Minimum experience: 5 years. Basic Guidelines : Ensure all submitted CVs are up to date. Maximum Notice Period 3 weeks Willingness to go for face 2 face interview in 24 hours. Employment verification 5 years and 7 years criminal background check. No fake and proxy interviews. Vendors will be blacklisted by TSI/ our Client, if guilty. Maintain the below tracker. Java Fullstack developer Primary skills: Java 8/11, Spring boot, Microservices, Rest API, UI REACT JS, REDUX Location: Bangalore and Chennai 2. Python + UI/API developer Primary skills: Python, Rest API, UI REACT JS, REDUX Location: Gurgaon 3.UI Engineer Primary skills: UI REACT JS, REDUX, JavaScript,ES6/Typescript,HTML5,CSS3,Bootstrap) Secondary skills: Java 8/11, Spring boot, Microservices, Rest API Location: Gurgaon and Bangalore 4. API Automation tester + Java scripting API Automation testing, Java scripting, SQL, MongoDB, Selenium Secondary skills: Rest assured / karate, Cucumber framework. DB Concepts, json queries Location: Bangalore and Gurgaon Job Description: 5+ years in Quality Assurance and testing. Demonstrated experience with Java or Python. Good experience in API automation using Selenium (Rest Assured or any other framework for automation and POSTMAN for manual). Preferably worked on creating frameworks. Must be well versed in BDD Cucumber frameworks. Working knowledge of MySQL and its implementation. Experience in creating scripts through REST APIs. Able to manage multiple work streams, independent, able to communicate well. Required Details Candidate's Full Name (As per passport): Contact Number: Email ID: Passport: LinkedIn ID link: Location (City & State): Relocation (Yes / No): Availability to join the project: Total working Experience: Currently on project (Yes/No): Have you Ever worked with Client: (If yes details) Any Interviews Pending: Any Offers in hand: Have you been submitted by Client: Any Issue with BGC: Bachelors details: Masters details: Rate: please submit your resumes to Naveen@tanishasystems.com

Job Summary: We are seeking a highly skilled and motivated Azure PaaS Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining innovative automation solutions using Azure Services and Python. This role demands a profound understanding of cloud computing services such as Azure Logic App, Azure Function App, and Azure Storage Account. Key Responsibilities: Innovative Design & Development: Craft, develop, and deploy cutting-edge automation solutions utilizing Azure services and Python. Collaborative Implementation: Work closely with cross-functional teams to interpret and implement software requirements seamlessly. API Development: Develop and maintain robust RESTful APIs to enhance functionality and user experience. Resource Management: Implement and manage Azure resources to ensure optimal availability and scalability. Code Review & Feedback: Participate in code reviews, offering constructive feedback to foster continuous improvement. Troubleshooting & Debugging: Efficiently troubleshoot and debug application issues to maintain smooth operations. Problem-Solving: Excellent problem-solving and analytical skills. Communication: Effective communication and teamwork abilities. Qualifications: Educational Background: Bachelors degree in Computer Science, Information Technology, or a related field. Skills: Primary: Azure Services: Azure Logic App, Azure Function App, API Management, Azure Storage, Azure Log Analytics. Technical Skills: Proficiency in Python, JSON, and SQL Server. API Development: RESTful API development. DevOps & CI/CD: Proven experience as a DevOps Engineering, with proficiency in ServiceNow, GitHub and CI/CD pipelines. Secondary: Additional Azure Tools: Azure VM, Key Vault, and Azure Data Factory are advantageous. Cloud Computing Proficiency: Strong understanding of cloud computing concepts and best practices. Additional Tools: Proficiency in Postman Application is a plus. Experience with microservices architecture. Knowledge of sentiment analysis and text analytics.

Job Title: SAP FICO Candidate should possess excellent functional knowledge in SAP FICO for about 7 plus years and have 3 years of implementation experience FI-General Ledger, Asset Accounting, Accounts Payable, Accounts Receivable, Special Purpose Ledger, EBS Rules. Must have worked on enhancement/developments. Experience in preparing Functional Specs for complex developments Experience in working with e-Invocing is an added advantage Integration of FI with SD and MM modules Controlling Cost Centre Accounting, Internal Order Accounting, COPA, Revenue Recognition Furthermore, the candidate should be familiar with: ABAP debugging, ASAP methodology, ALE Idocs/EDI/Interfaces Good verbal and written communication skills. Willing to work in onsite/offshore delivery model

Role & responsibilities We are looking for SAP FICO Consultant position permanent position with MNC Company for Bangalore/Pune/Hyderabad. Preferred candidate profile Experience in SAP FICO Experience in end to end implementation Experience in HANA Implementation

Role & responsibilities We are looking for Fullstack Developer permanent position with MNC company for Hyderabad/Noida/Gurgaon location. Preferred candidate profile Mandatory skills: Java Python React JS

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Remote. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Remote. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Role & responsibilities Tool - Tricentis TOSCA. Expected to be certified in Tricentis TOSCA. Must have worked in Agile projects for in-sprint delivery Should have good knowledge in Tosca with API and DB testing Good in String Operations DB testing(MongoDB, Oracle DB, SQL etc) Should be good in Test Data Service (TDS) Should have experience Banking domain and knowledge in Domestic SWIFT (cross-border & GPP) Payments. Should have hands-on experience on Testing Tool like ALM/QC,JIRA. Should have worked on SOAPUI, SQL, POSTMAN and CI Tools like Bamboo and Jenkins. Need to have knowledge Database - DB2, MS SQL, Oracle. Should have worked in Automation UI and API testing using Tosca and on TOSCA-JIRA-BAMBOO integration

Job Title: Senior Business Analyst Location: Hyderabad, Chennai, Bangalore Key Responsibilities: Collaborate with business stakeholders to gather, analyse, and document detailed business and functional requirements. Translate business needs into technical specifications and work closely with developers, QA, and other IT teams. Lead workshops, interviews, and working sessions to uncover current and future-state processes. Hands-on experience working in a Bank or Financial Institution or in Banking Technology, preferably in Investment Banking / Financial markets Technology Experience in derivative asset classes like FX, Rates, Commodities, Equity and their Trade Lifecycle, Front-to-Back trade flows Analyse data, KPIs, and user behaviour to identify trends, risks, and opportunities for improvement. Act as a liaison between business users and technical teams to ensure clear communication and alignment. Create process models, data flow diagrams, and documentation using tools like Visio, Lucidchart, or equivalent. Drive UAT planning, execution, and sign-off activities, ensuring solutions meet business expectations. Maintain strong knowledge of regulatory requirements, operational risk, and compliance in the banking domain. Mentor junior BAs and contribute to best practices and continuous improvement initiatives. Required Qualifications: Bachelor's/ Masters degree in Business, Finance, Information Systems, or related field. 8 – 10 years of experience as a Business Analyst in financial services, preferably in banking or fintech. Strong understanding of banking operations, regulatory compliance, and digital transformation. Proven experience in Agile/Scrum and/or Waterfall methodologies. Proficiency in requirements management tools (e.g., JIRA, Confluence and SharePoint). Excellent communication and stakeholder management skills. Strong data analysis skills using SQL and/or Excel Preferred Qualifications: Exposure to cloud platforms (e.g., AWS, Azure) and APIs. Prior experience with Investment Banking systems or similar enterprise-scale financial institutions.

Role & responsibilities Key Responsibilities: Collaborate with business stakeholders to gather, analyses, and document detailed business and functional requirements. Translate business needs into technical specifications and work closely with developers, QA, and other IT teams. Lead workshops, interviews, and working sessions to uncover current and future-state processes. Hands-on experience working in a Bank or Financial Institution or in Banking Technology, preferably in Investment Banking / Financial markets Technology Experience in derivative asset classes like FX, Rates, Commodities, Equity and their Trade Lifecycle, Front-to-Back trade flows Analyses data, KPIs, and user behavior to identify trends, risks, and opportunities for improvement. Act as a liaison between business users and technical teams to ensure clear communication and alignment. Create process models, data flow diagrams, and documentation using tools like Visio, Lucidchart, or equivalent. Drive UAT planning, execution, and sign-off activities, ensuring solutions meet business expectations. Maintain strong knowledge of regulatory requirements, operational risk, and compliance in the banking domain. Mentor junior BAs and contribute to best practices and continuous improvement initiatives. Required Qualifications: Bachelor's/ Masters degree in Business, Finance, Information Systems, or related field. 8 10 years of experience as a Business Analyst in financial services, preferably in banking or fintech. Strong understanding of banking operations, regulatory compliance, and digital transformation. Proven experience in Agile/Scrum and/or Waterfall methodologies. Proficiency in requirements management tools (e.g., JIRA, Confluence and SharePoint). Excellent communication and stakeholder management skills. Strong data analysis skills using SQL and/or Excel Preferred Qualifications: Exposure to cloud platforms (e.g., AWS, Azure) and APIs. Prior experience with Investment Banking systems or similar enterprise-scale financial institutions.

Role & responsibilities Roles & Responsibilities: Tool - Tricentis TOSCA. Expected to be certified in Tricentis TOSCA. Must have worked in Agile projects for in-sprint delivery Should have good knowledge in Tosca with API and DB testing Good in String Operations DB testing(MongoDB, Oracle DB, SQL etc) Should be good in Test Data Service (TDS) Should have experience Banking domain and knowledge in Domestic SWIFT (cross-border & GPP) Payments. Should have hands-on experience on Testing Tool like ALM/QC,JIRA. Should have worked on SOAPUI, SQL, POSTMAN and CI Tools like Bamboo and Jenkins. Need to have knowledge Database - DB2, MS SQL, Oracle. Should have worked in Automation UI and API testing using Tosca and on TOSCA-JIRA-BAMBOO integration.

We're looking for an experienced SDET to join our team. As an SDET, you'll play a critical role in ensuring the quality and reliability of our software products. You'll design, develop, and execute automated tests to identify defects and collaborate with cross-functional teams to resolve issues. Experience:- 5-11 years Location:-Bangalore/Chennai/Hyderabad/Pune (F2F on 7th June) Notice Period:- Immediate Key Responsibilities: 1. Design and develop automated tests using tools like Selenium, Appium, or similar technologies. 2. Collaborate with development teams to identify test requirements and develop test plans. 3. Execute automated tests, analyze results, and report defects. 4. Work with cross-functional teams to troubleshoot and resolve issues. 5. Develop and maintain test frameworks, tools, and infrastructure. 6. Participate in Agile development methodologies and contribute to sprint planning. 7. Stay up-to-date with industry trends and best practices in software testing and automation. Requirements: 1. 5-7 years of experience in software testing and automation. 2. Strong programming skills in languages like Java, Python, or C#. 3. Experience with automated testing tools like Selenium, Appium, or similar technologies. 4. Knowledge of testing frameworks and tools like TestNG, JUnit, or PyUnit. 5. Experience with Agile development methodologies. 6. Strong analytical and problem-solving skills. 7. Excellent communication and collaboration skills. Nice to Have: 1. Experience with cloud-based testing platforms. 2. Knowledge of containerization tools like Docker. 3. Experience with CI/CD pipelines.

Experience:- 5-11 years Location:-Bangalore/Chennai/Hyderabad/Pune (F2F on 7th June) Notice Period:- Immediate Must have: Expected to be certified in Tricentis TOSCA. Must have worked in Agile projects for in-sprint delivery Should have good knowledge in Tosca with API and DB testing Good in String Operations DB testing(MongoDB, Oracle DB, SQL etc) Should be good in Test Data Service (TDS) Should have hands-on experience on Testing Tool like ALM/QC,JIRA. Should have worked on SOAPUI, SQL, POSTMAN and CI Tools like Bamboo and Jenkins. Need to have knowledge Database - DB2, MS SQL, Oracle. Should have worked in Automation UI and API testing using Tosca and on TOSCA-JIRA-BAMBOO integration.