Salesforce testing (Sales Cloud/Service Cloud), manual testing, test case design and execution, Salesforce data model and architecture understanding, defect management, Agile methodology.
Automation testing tools (Selenium, Provar), SOQL knowledge, API testing (REST/SOAP, Postman), CI/CD tools, Salesforce certifications (Admin/App Builder), basic scripting knowledge.
We are seeking a skilled Salesforce Tester with 4+ years of experience to ensure the quality and performance of Salesforce applications. The ideal candidate will be responsible for understanding business requirements, designing and executing test cases, and performing functional, regression, and integration testing within Salesforce environments. You will work closely with developers, business analysts, and stakeholders to validate Salesforce configurations, including workflows, process builder, flows, and custom objects, while ensuring data integrity and system reliability. The role requires strong analytical skills, attention to detail, and experience working in Agile/Scrum environments, along with the ability to identify, report, and track defects effectively.
Responsibilities
Salesforce testing (Sales Cloud/Service Cloud), manual testing, test case design and execution, Salesforce data model and architecture understanding, defect management, Agile methodology.
Automation testing tools (Selenium, Provar), SOQL knowledge, API testing (REST/SOAP, Postman), CI/CD tools, Salesforce certifications (Admin/App Builder), basic scripting knowledge.
We are seeking a skilled Salesforce Tester with 4+ years of experience to ensure the quality and performance of Salesforce applications. The ideal candidate will be responsible for understanding business requirements, designing and executing test cases, and performing functional, regression, and integration testing within Salesforce environments. You will work closely with developers, business analysts, and stakeholders to validate Salesforce configurations, including workflows, process builder, flows, and custom objects, while ensuring data integrity and system reliability. The role requires strong analytical skills, attention to detail, and experience working in Agile/Scrum environments, along with the ability to identify, report, and track defects effectively.
Salary : Rs. 10,00,000.0 - Rs. 14,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description Teamcenter Admin with 4- 9 years of experience 15 lacs Experience - 4+ Years Good knowledge in Teamcenter Unified Architecture and worked as Teamcenter Administrator and Support. Strong understanding of PLM concepts BOM Management and Structure Configuration. Good understanding of database concepts. Worked on technical support for PoC & demonstration/prototypes. Led quality improvement initiatives measures. Knowledge in Teamcenter Solution Designing for both Server and Client Mandatory Skills: Teamcenter: • Installation 2 Tier, 4 Tier, Active Workspace, Indexer, FSC, Dispatcher, BMIDE, NX Integration Modules: • Structure Manager, Access Manager, Query Builder, Organization, PLMXML Administration, Workflow, Organization, Classification Admin, Project, Change management, Schedule Management Deployment: • Data Model, Preference, Workflow, Queries, ACL, Stylesheet’s, Custom Report generations. Software Management: • Preparation of Functional and Design Documents • Preparation of Unit test plans • Problem Solving Skills • Good Communication with right Attitude Knowledge in SSO setup, SSL Setup, Load Balancer. Linux Experience in mandatory. Good to Have – Integrations AIG, NX Oracle Database knowledge, Sql Query Java or C or C++ programming , Javascript ITAR or ADA Upgrade/Migration knowledge
Responsibilities
Job Description Teamcenter Admin with 4- 9 years of experience 15 lacs Experience - 4+ Years Good knowledge in Teamcenter Unified Architecture and worked as Teamcenter Administrator and Support. Strong understanding of PLM concepts BOM Management and Structure Configuration. Good understanding of database concepts. Worked on technical support for PoC & demonstration/prototypes. Led quality improvement initiatives measures. Knowledge in Teamcenter Solution Designing for both Server and Client Mandatory Skills: Teamcenter: • Installation 2 Tier, 4 Tier, Active Workspace, Indexer, FSC, Dispatcher, BMIDE, NX Integration Modules: • Structure Manager, Access Manager, Query Builder, Organization, PLMXML Administration, Workflow, Organization, Classification Admin, Project, Change management, Schedule Management Deployment: • Data Model, Preference, Workflow, Queries, ACL, Stylesheet’s, Custom Report generations. Software Management: • Preparation of Functional and Design Documents • Preparation of Unit test plans • Problem Solving Skills • Good Communication with right Attitude Knowledge in SSO setup, SSL Setup, Load Balancer. Linux Experience in mandatory. Good to Have – Integrations AIG, NX Oracle Database knowledge, Sql Query Java or C or C++ programming , Javascript ITAR or ADA Upgrade/Migration knowledge
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Design, architecture, develop, and implement highly available/scalable, multi-region solutions within AWS Cloud.
• Work closely with application, engineering, security and operations teams to engineer and build Cloud native Services on AWS, PaaS and IaaS solutions within an agile and modern enterprise grade operating model.
• Maintaining and developing the Infrastructure as Code repository using Terraform and be able to deliver a fully automatized cloud infrastructure.
• Implement and maintain monitoring and alerting systems to detect issues proactively.
• Perform deployment, configuration, monitoring and maintenance of high availability enterprise solutions.
• Perform proactive system administration, monitoring, technical efficiency tuning, up-time, alert notifications, and automation tasks.
• Manage and administer the AWS cloud environment, including provisioning, configuration, performance monitoring, policy governance and security
• Design, develop, and implement highly available, multi-region solutions within AWS
• Analyze existing operational standards, processes, and/or governance to identify and implement improvements
• Migrate existing infrastructure services to AWS cloud-based solutions
• Manage security and access controls of AWS cloud-based solutions
• Develop infrastructure as code (IaC) leveraging cloud native tooling to ensure automated and consistent platform deployments
• Develop and implement policy driven data protection best practices to ensure cloud solutions are protected from data loss
• Support cloud adoption of applications as they are being transformed and/or modernized
• Ensure all infrastructure components meet proper performance and capacity standards
Mandatory Technical Skills:
• Around 6 years of experience with AWS Cloud (IaaS, PaaS, Database) and Azure DevOps
• Cloud Architecture: Strong understanding of cloud architecture principles and best practices.
• 6+ years of experience with Infrastructure As Code using Terraform
• Advanced skills on LINUX, Network, security and Docker based environment
• Security best practices and compliance frameworks
• Programming languages is a plus (For example: PowerShell, Shell, Python).
• Experience with AWS networking services (VPC, Direct Connect, Route 53, CloudFront)
• Network security implementation (Security Groups, NACLs, WAF)
Responsibilities
Design, architecture, develop, and implement highly available/scalable, multi-region solutions within AWS Cloud.
• Work closely with application, engineering, security and operations teams to engineer and build Cloud native Services on AWS, PaaS and IaaS solutions within an agile and modern enterprise grade operating model.
• Maintaining and developing the Infrastructure as Code repository using Terraform and be able to deliver a fully automatized cloud infrastructure.
• Implement and maintain monitoring and alerting systems to detect issues proactively.
• Perform deployment, configuration, monitoring and maintenance of high availability enterprise solutions.
• Perform proactive system administration, monitoring, technical efficiency tuning, up-time, alert notifications, and automation tasks.
• Manage and administer the AWS cloud environment, including provisioning, configuration, performance monitoring, policy governance and security
• Design, develop, and implement highly available, multi-region solutions within AWS
• Analyze existing operational standards, processes, and/or governance to identify and implement improvements
• Migrate existing infrastructure services to AWS cloud-based solutions
• Manage security and access controls of AWS cloud-based solutions
• Develop infrastructure as code (IaC) leveraging cloud native tooling to ensure automated and consistent platform deployments
• Develop and implement policy driven data protection best practices to ensure cloud solutions are protected from data loss
• Support cloud adoption of applications as they are being transformed and/or modernized
• Ensure all infrastructure components meet proper performance and capacity standards
Mandatory Technical Skills:
• Around 6 years of experience with AWS Cloud (IaaS, PaaS, Database) and Azure DevOps
• Cloud Architecture: Strong understanding of cloud architecture principles and best practices.
• 6+ years of experience with Infrastructure As Code using Terraform
• Advanced skills on LINUX, Network, security and Docker based environment
• Security best practices and compliance frameworks
• Programming languages is a plus (For example: PowerShell, Shell, Python).
• Experience with AWS networking services (VPC, Direct Connect, Route 53, CloudFront)
• Network security implementation (Security Groups, NACLs, WAF)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Senior AWS Cloud Architect - Sudhakar Nagireddy
· 5–7 years of overall experience in Automation Testing using Tricentis Tosca
· Minimum 3–5 years of hands-on experience with the Tricentis Tosca automation tool
· Strong working knowledge of Tosca TestCase Design (TCD) and Tosca scripting concepts
· Experience with Test Data Service (TDS) and Test Data Management (TDM) in Tosca
· Ability to work with and manipulate external test data sources (e.g., Excel) for test case parameterization
· Experience in executing test cases using Distributed Execution (DEX)
· Hands-on experience in designing reusable, scalable, and maintainable automation test cases
· Good understanding of test case parameterization using external data sources
· Experience integrating Tosca with CI/CD pipelines (e.g., Jenkins, Azure DevOps)
· Ability to analyze requirements, design test scenarios, and automate them effectively
· Strong debugging and problem-solving skills in automation scripts
· Understand HRIT domains, business functionalities and technical landscapes of the applications in scope.
· Ability to understand the complex integration between various applications and perform end-to-end testing in an Complex application landscape.
· Develop, run and maintain automated regression suite.
· Participate in various agile ceremonies such as sprint planning, backlog refinement, daily stand-up calls, sprint retrospective etc.
· Communicate regression/automation development status to program team.
· Pro-active, strong minded, Contribution motivated, adapt to changes & Strong Communication (Verbal & Written) Skills.
Responsibilities
Salary : Rs. 20,00,000.0 - Rs. 23,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Data Scientist - (260004IC)
Missions
A seasoned Data Scientist with 6-7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.
Key Responsibilities:
- Develop and implement high-impact AI/ML use cases that support our organizational objectives.
- Communicate findings, insights, and methodologies clearly to non-technical stakeholders.
- Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.
- Validate models with appropriate statistical and machine learning evaluation techniques.
- Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.
- Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.
- Ensure data quality and reliability through rigorous analytical practices.
- Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.
Requirements:
- 6-7 years of hands-on experience in Data Science.
- Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)
- Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)
- Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)
- Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)
- Competency in software development methodologies and versioning tools. (Must Have)
- Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).
- Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).
- Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have
Profile
A seasoned Data Scientist with 6-7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.
Key Responsibilities:
- Develop and implement high-impact AI/ML use cases that support our organizational objectives.
- Communicate findings, insights, and methodologies clearly to non-technical stakeholders.
- Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.
- Validate models with appropriate statistical and machine learning evaluation techniques.
- Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.
- Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.
- Ensure data quality and reliability through rigorous analytical practices.
- Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.
Requirements:
- 6-7 years of hands-on experience in Data Science.
- Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)
- Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)
- Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)
- Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)
- Competency in software development methodologies and versioning tools. (Must Have)
- Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).
- Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).
- Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have
Responsibilities
Data Scientist - (260004IC)
Missions
A seasoned Data Scientist with 6-7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.
Key Responsibilities:
- Develop and implement high-impact AI/ML use cases that support our organizational objectives.
- Communicate findings, insights, and methodologies clearly to non-technical stakeholders.
- Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.
- Validate models with appropriate statistical and machine learning evaluation techniques.
- Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.
- Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.
- Ensure data quality and reliability through rigorous analytical practices.
- Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.
Requirements:
- 6-7 years of hands-on experience in Data Science.
- Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)
- Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)
- Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)
- Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)
- Competency in software development methodologies and versioning tools. (Must Have)
- Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).
- Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).
- Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have
Profile
A seasoned Data Scientist with 6-7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.
Key Responsibilities:
- Develop and implement high-impact AI/ML use cases that support our organizational objectives.
- Communicate findings, insights, and methodologies clearly to non-technical stakeholders.
- Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.
- Validate models with appropriate statistical and machine learning evaluation techniques.
- Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.
- Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.
- Ensure data quality and reliability through rigorous analytical practices.
- Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.
Requirements:
- 6-7 years of hands-on experience in Data Science.
- Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)
- Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)
- Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)
- Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)
- Competency in software development methodologies and versioning tools. (Must Have)
- Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).
- Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).
- Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
