3. Pythom+React
Skillset : Python, React, Langchain and Langraph, Microsoft Agentic Framework, Agentic AI framework, Azure AI Foundry, Azure AI Services, as well as Claude code/Code 8+yrs PANINDIA
Responsibilities
3. Pythom+React
Skillset : Python, React, Langchain and Langraph, Microsoft Agentic Framework, Agentic AI framework, Azure AI Foundry, Azure AI Services, as well as Claude code/Code 8+yrs PANINDIA
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, you will develop custom software solutions tailored to specific business needs. Your responsibilities include coding, enhancing components, and collaborating with team members to deliver scalable solutions. Key skills required include proficiency in Cobol Mainframe and a strong understanding of software design principles. Candidates should have a minimum of 3 years of experience in Cobol Mainframe and a 15 years full-time education.
Responsibilities
As a Custom Software Engineer, you will develop custom software solutions tailored to specific business needs. Your responsibilities include coding, enhancing components, and collaborating with team members to deliver scalable solutions. Key skills required include proficiency in Cobol Mainframe and a strong understanding of software design principles. Candidates should have a minimum of 3 years of experience in Cobol Mainframe and a 15 years full-time education.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
SAS Administrator
Job Description:
The SAS Administrator is responsible for managing and maintaining SAS environments to ensure optimal performance, security, and availability. This role supports both development and production environments and plays a critical role in data integration, reporting, and analytics delivery.
Key Responsibilities
1. Environment Setup & Maintenance: Install, configure, and upgrade SAS software including SAS Visual Analytics, SAS Management Console, SAS DI Studio, and SAS Viya.
2. User & Access Management: Manage users, groups, and roles; assign permissions using SAS Management Console.
3. Data Integration & ETL: Develop and maintain ETL pipelines using SAS DI Studio and Base SAS; ensure data quality and integrity.
4. Reporting & Visualization: Build dashboards and reports using SAS Visual Analytics and Power BI.
5. Incident Handling: Monitor system health, troubleshoot issues, and perform root cause analysis.
6. Automation & Optimization: Automate recurring tasks and optimize data pipelines.
7. Documentation & Compliance: Maintain technical documentation and ensure compliance with data governance and security standards.
Required Skills
1. SAS Expertise: Proficiency in SAS Base, SAS Macro, SAS DI Studio, SAS EG, SAS Visual Analytics, and SAS Management Console.
2. Database & Tools: Experience with DB2, SQL Server, Azure Synapse, Control-M, JCL, and Git.
3. Cloud & DevOps: Familiarity with Azure/GCP, Kubernetes, Docker, and tools like Jira and Confluence.
4. Reporting Tools: Power BI and Excel for data visualization.
Responsibilities
SAS Administrator
Job Description:
The SAS Administrator is responsible for managing and maintaining SAS environments to ensure optimal performance, security, and availability. This role supports both development and production environments and plays a critical role in data integration, reporting, and analytics delivery.
Key Responsibilities
1. Environment Setup & Maintenance: Install, configure, and upgrade SAS software including SAS Visual Analytics, SAS Management Console, SAS DI Studio, and SAS Viya.
2. User & Access Management: Manage users, groups, and roles; assign permissions using SAS Management Console.
3. Data Integration & ETL: Develop and maintain ETL pipelines using SAS DI Studio and Base SAS; ensure data quality and integrity.
4. Reporting & Visualization: Build dashboards and reports using SAS Visual Analytics and Power BI.
5. Incident Handling: Monitor system health, troubleshoot issues, and perform root cause analysis.
6. Automation & Optimization: Automate recurring tasks and optimize data pipelines.
7. Documentation & Compliance: Maintain technical documentation and ensure compliance with data governance and security standards.
Required Skills
1. SAS Expertise: Proficiency in SAS Base, SAS Macro, SAS DI Studio, SAS EG, SAS Visual Analytics, and SAS Management Console.
2. Database & Tools: Experience with DB2, SQL Server, Azure Synapse, Control-M, JCL, and Git.
3. Cloud & DevOps: Familiarity with Azure/GCP, Kubernetes, Docker, and tools like Jira and Confluence.
4. Reporting Tools: Power BI and Excel for data visualization.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
2. Operations-Focused Engineer – Azure Specialist (1 Role) - (Experience range : 4-13 Years - SA/M)
Overview:
Responsible for cloud operations, infrastructure management, and reliability, with deep expertise in Microsoft Azure services.
Key Responsibilities:
Design, deploy, and manage Azure cloud infrastructure
Monitor system performance, availability, and security
Implement CI/CD pipelines and DevOps best practices
Troubleshoot production issues and ensure system reliability
Optimize cost, scalability, and performance of Azure resources
Desired Skills
Microsoft Copilot Studio development
Azure AI Foundry (AI bots and intelligent workflows)
Java / Spring Boot development
Workday integration tools (Studio, Extend, Orchestrate)- Mandatory
Cloud architecture and networking fundamentals
Responsibilities
2. Operations-Focused Engineer – Azure Specialist (1 Role) - (Experience range : 4-13 Years - SA/M)
Overview:
Responsible for cloud operations, infrastructure management, and reliability, with deep expertise in Microsoft Azure services.
Key Responsibilities:
Design, deploy, and manage Azure cloud infrastructure
Monitor system performance, availability, and security
Implement CI/CD pipelines and DevOps best practices
Troubleshoot production issues and ensure system reliability
Optimize cost, scalability, and performance of Azure resources
Desired Skills
Microsoft Copilot Studio development
Azure AI Foundry (AI bots and intelligent workflows)
Java / Spring Boot development
Workday integration tools (Studio, Extend, Orchestrate)- Mandatory
Cloud architecture and networking fundamentals
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
JD :
1. AI Development Engineers (3 Roles) - (Experience range : 4-9 Years - SA)
Overview:
Full-stack or specialized engineers with a blended skillset across AI, cloud platforms, and enterprise integrations.
Key Responsibilities:
Design, develop, and maintain scalable applications and services
Build and integrate AI-powered solutions using Microsoft Copilot Studio and Azure Foundry (AI bots)
Develop backend services using Java, with emphasis on Spring Boot framework
Implement and support Workday integrations (Workday Studio, Extend, Orchestrate)
Collaborate on API design, system integration, and data flows
Apply best practices in cloud architecture, networking, and security
Contribute to code reviews, documentation, and knowledge sharing
Desired Skills
Microsoft Copilot Studio development
Azure AI Foundry (AI bots and intelligent workflows)
Java / Spring Boot development
Workday integration tools (Studio, Extend, Orchestrate) - Implement and support Workday integrations (Workday Studio, Extend, Orchestrate) – Mandatory
Cloud architecture and networking fundamentals
Responsibilities
JD :
1. AI Development Engineers (3 Roles) - (Experience range : 4-9 Years - SA)
Overview:
Full-stack or specialized engineers with a blended skillset across AI, cloud platforms, and enterprise integrations.
Key Responsibilities:
Design, develop, and maintain scalable applications and services
Build and integrate AI-powered solutions using Microsoft Copilot Studio and Azure Foundry (AI bots)
Develop backend services using Java, with emphasis on Spring Boot framework
Implement and support Workday integrations (Workday Studio, Extend, Orchestrate)
Collaborate on API design, system integration, and data flows
Apply best practices in cloud architecture, networking, and security
Contribute to code reviews, documentation, and knowledge sharing
Desired Skills
Microsoft Copilot Studio development
Azure AI Foundry (AI bots and intelligent workflows)
Java / Spring Boot development
Workday integration tools (Studio, Extend, Orchestrate) - Implement and support Workday integrations (Workday Studio, Extend, Orchestrate) – Mandatory
Cloud architecture and networking fundamentals
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
