We are looking for a skilled UI Developer with 5+ years of experience in building modern, responsive, and high-performance web applications using Angular and front-end technologies. The ideal candidate should have strong expertise in creating intuitive user interfaces, translating UI/UX designs into functional applications, and ensuring an excellent user experience across devices.
Key Responsibilities
• Develop and maintain responsive web applications using Angular.
• Convert UI/UX designs, wireframes, and mockups into high-quality code.
• Build reusable and scalable UI components.
• Ensure cross-browser compatibility and responsive design implementation.
• Integrate front-end applications with REST APIs.
• Optimize applications for performance, scalability, and usability.
• Collaborate with designers, backend developers, QA teams, and product owners.
• Participate in code reviews and follow front-end development best practices.
• Troubleshoot and resolve UI-related issues.
Required Skills
• 5+ years of experience in Front-End/UI Development.
• Strong proficiency in Angular (v10+), TypeScript, JavaScript (ES6+), HTML5, and CSS3.
• Exposure to Row-Level Security (RLS) concepts (e.g., conditionally rendering UI).
• Familiarity with RxJS and component-based architecture.
• Hands-on experience deploying Angular apps to Azure Static Web Apps or Azure App Services
• Practical experience with Azure DevOps CI/CD pipelines
• Experience integrating frontend apps with enterprise IAM solutions (OIDC/OAuth2, managed identities)
• Experience implementing multilingual UI (i18n).
Preferred Skills
• Exposure to Agile/Scrum development methodologies.
• Basic understanding of CI/CD pipelines and deployment processes.
• Exposure to end-to-end (E2E) testing frameworks such as Cypress
• Experience working on applications following GDPR / data privacy guidelines.
Responsibilities
We are looking for a skilled UI Developer with 5+ years of experience in building modern, responsive, and high-performance web applications using Angular and front-end technologies. The ideal candidate should have strong expertise in creating intuitive user interfaces, translating UI/UX designs into functional applications, and ensuring an excellent user experience across devices.
Key Responsibilities
• Develop and maintain responsive web applications using Angular.
• Convert UI/UX designs, wireframes, and mockups into high-quality code.
• Build reusable and scalable UI components.
• Ensure cross-browser compatibility and responsive design implementation.
• Integrate front-end applications with REST APIs.
• Optimize applications for performance, scalability, and usability.
• Collaborate with designers, backend developers, QA teams, and product owners.
• Participate in code reviews and follow front-end development best practices.
• Troubleshoot and resolve UI-related issues.
Required Skills
• 5+ years of experience in Front-End/UI Development.
• Strong proficiency in Angular (v10+), TypeScript, JavaScript (ES6+), HTML5, and CSS3.
• Exposure to Row-Level Security (RLS) concepts (e.g., conditionally rendering UI).
• Familiarity with RxJS and component-based architecture.
• Hands-on experience deploying Angular apps to Azure Static Web Apps or Azure App Services
• Practical experience with Azure DevOps CI/CD pipelines
• Experience integrating frontend apps with enterprise IAM solutions (OIDC/OAuth2, managed identities)
• Experience implementing multilingual UI (i18n).
Preferred Skills
• Exposure to Agile/Scrum development methodologies.
• Basic understanding of CI/CD pipelines and deployment processes.
• Exposure to end-to-end (E2E) testing frameworks such as Cypress
• Experience working on applications following GDPR / data privacy guidelines.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Roles & Responsibilities:
Expertise in SystemVerilog, UVM/OVM, and OOP concepts
Strong experience in complex Protocols or SoC verification flows across multiple projects/clients
Professional & Technical Skills:
- Must To Have Skills: Proficiency in SoC Verification.
- Strong knowledge of verification methodologies including constrained-random testing and coverage-driven verification.
- Experience with SystemVerilog and Universal Verification Methodology for testbench development.
- Ability to analyze complex digital designs and develop effective verification plans.
- Familiarity with simulation tools and debugging techniques to identify and resolve functional issues.
- Skilled in collaborating with design and architecture teams to ensure comprehensive verification coverage.
Additional Information:
- The candidate should have minimum 5 years of experience in SoC Verification.
- This position is based at our Bengaluru office.
- A 15 years full time education is required."
Responsibilities
Roles & Responsibilities:
Expertise in SystemVerilog, UVM/OVM, and OOP concepts
Strong experience in complex Protocols or SoC verification flows across multiple projects/clients
Professional & Technical Skills:
- Must To Have Skills: Proficiency in SoC Verification.
- Strong knowledge of verification methodologies including constrained-random testing and coverage-driven verification.
- Experience with SystemVerilog and Universal Verification Methodology for testbench development.
- Ability to analyze complex digital designs and develop effective verification plans.
- Familiarity with simulation tools and debugging techniques to identify and resolve functional issues.
- Skilled in collaborating with design and architecture teams to ensure comprehensive verification coverage.
Additional Information:
- The candidate should have minimum 5 years of experience in SoC Verification.
- This position is based at our Bengaluru office.
- A 15 years full time education is required."
Salary : Rs. 0.0 - Rs. 2,70,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Core capabilities
Excellent communication and stakeholder engagement, with the ability to communicate clearly, honestly, and effectively with both technical and non-technical audiences
Ability to self-start, working with minimal direction and showing initiative in identifying problems and proposing solutions
Strong business understanding, with a pragmatic approach to delivery and a willingness to balance ideal solutions with business capability and constraints
Strong problem-solving skills, including structured thinking and the ability to break down ambiguous problems into clear stages and deliverables
Ability to balance technical best practice with practical business considerations, recognising that the best theoretical solution may not always be the right one in practice
Confidence to influence, challenge, and support a wide range of stakeholders, including experienced ML teams
Technical skillset
Strong Databricks experience, including feature stores, real time model serving, MLflow and Unity Catalog,
Experience across the machine learning Python ecosystem, including tools such as scikit-learn, Pandas, PySpark, and MLflow
ML experience, including model development, evaluation, deployment fundamentals, optimisation, and performance improvement
Understanding of MLOps, including model lifecycle management, reproducibility, monitoring, production readiness, scaling, and reliability
Appreciation of data engineering fundamentals, including Spark, distributed computing, and data pipeline development
Experience creating standards, frameworks, and documentation that enable teams to adopt best practice effectively
Ability to simplify complex technical concepts into practical, accessible approaches for a range of audiences
Strong performance optimisation skills, including improving efficiency and latency
Comments for Suppliers: Machine Learning (ML)
Responsibilities
Core capabilities
Excellent communication and stakeholder engagement, with the ability to communicate clearly, honestly, and effectively with both technical and non-technical audiences
Ability to self-start, working with minimal direction and showing initiative in identifying problems and proposing solutions
Strong business understanding, with a pragmatic approach to delivery and a willingness to balance ideal solutions with business capability and constraints
Strong problem-solving skills, including structured thinking and the ability to break down ambiguous problems into clear stages and deliverables
Ability to balance technical best practice with practical business considerations, recognising that the best theoretical solution may not always be the right one in practice
Confidence to influence, challenge, and support a wide range of stakeholders, including experienced ML teams
Technical skillset
Strong Databricks experience, including feature stores, real time model serving, MLflow and Unity Catalog,
Experience across the machine learning Python ecosystem, including tools such as scikit-learn, Pandas, PySpark, and MLflow
ML experience, including model development, evaluation, deployment fundamentals, optimisation, and performance improvement
Understanding of MLOps, including model lifecycle management, reproducibility, monitoring, production readiness, scaling, and reliability
Appreciation of data engineering fundamentals, including Spark, distributed computing, and data pipeline development
Experience creating standards, frameworks, and documentation that enable teams to adopt best practice effectively
Ability to simplify complex technical concepts into practical, accessible approaches for a range of audiences
Strong performance optimisation skills, including improving efficiency and latency
Comments for Suppliers: Machine Learning (ML)
Salary : Rs. 0.0 - Rs. 1,80,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description
Azure PIM Administration & Engineering
• Design, implement, and manage Microsoft Entra ID (Azure AD) Privileged Identity Management (PIM).
• Configure and administer privileged access for Azure, Microsoft 365, and enterprise applications.
• Manage Just-in-Time (JIT) privileged access and Azure Role-Based Access Control (RBAC).
• Configure role activation policies, approvals, MFA requirements, notifications, and privileged access workflows.
Identity Governance & Compliance
• Perform periodic access reviews and privileged account certifications.
• Govern privileged access using least-privilege and Zero Trust principles.
• Support internal and external audits through compliance reporting and access evidence.
• Identify and remediate excessive, orphaned, and non-compliant privileged accounts.
Hybrid Identity & Security Management
• Support Microsoft Entra ID, Active Directory, and hybrid identity environments.
• Implement secure privileged access controls across cloud and on-premises environments.
• Integrate Azure PIM with Conditional Access and identity security controls.
Automation & Operational Excellence
• Develop PowerShell automation for provisioning, reporting, and governance activities.
• Create operational runbooks and SOPs.
• Support incident, problem, and change management related to privileged access.
Stakeholder Collaboration
• Work closely with Cyber Security, Cloud Engineering, Infrastructure, Compliance, Audit, and Governance teams.
• Provide technical guidance on privileged access management best practices.
• Participate in identity remediation, cloud transformation, and security enhancement initiatives.
Mandatory Technical Skills
• Microsoft Entra ID (Azure AD)
• Azure Privileged Identity Management (PIM)
• Azure RBAC
• Conditional Access
• Identity Governance & Access Reviews
• Active Directory & Hybrid Identity
• Azure AD Connect / Entra Connect
• PowerShell Automation
• MFA & Zero Trust Security
• OAuth, SAML, OpenID Connect, LDAP, Kerberos
Preferred Skills
• CyberArk / BeyondTrust / Delinea
• SailPoint or Saviynt
• Microsoft Defender for Identity
• Microsoft Sentinel
• Terraform / Bicep / ARM Templates
• Azure Security & Cloud Governance
Experience Requirements
• 8–10 years of experience in Identity & Access Management or Cloud Security.
• Minimum 3 years of hands-on experience with Azure PIM and Entra ID administration.
• Experience working in large enterprise/global environments.
• Strong understanding of privileged access governance, compliance, and audit requirements.
Responsibilities
Job Description
Azure PIM Administration & Engineering
• Design, implement, and manage Microsoft Entra ID (Azure AD) Privileged Identity Management (PIM).
• Configure and administer privileged access for Azure, Microsoft 365, and enterprise applications.
• Manage Just-in-Time (JIT) privileged access and Azure Role-Based Access Control (RBAC).
• Configure role activation policies, approvals, MFA requirements, notifications, and privileged access workflows.
Identity Governance & Compliance
• Perform periodic access reviews and privileged account certifications.
• Govern privileged access using least-privilege and Zero Trust principles.
• Support internal and external audits through compliance reporting and access evidence.
• Identify and remediate excessive, orphaned, and non-compliant privileged accounts.
Hybrid Identity & Security Management
• Support Microsoft Entra ID, Active Directory, and hybrid identity environments.
• Implement secure privileged access controls across cloud and on-premises environments.
• Integrate Azure PIM with Conditional Access and identity security controls.
Automation & Operational Excellence
• Develop PowerShell automation for provisioning, reporting, and governance activities.
• Create operational runbooks and SOPs.
• Support incident, problem, and change management related to privileged access.
Stakeholder Collaboration
• Work closely with Cyber Security, Cloud Engineering, Infrastructure, Compliance, Audit, and Governance teams.
• Provide technical guidance on privileged access management best practices.
• Participate in identity remediation, cloud transformation, and security enhancement initiatives.
Mandatory Technical Skills
• Microsoft Entra ID (Azure AD)
• Azure Privileged Identity Management (PIM)
• Azure RBAC
• Conditional Access
• Identity Governance & Access Reviews
• Active Directory & Hybrid Identity
• Azure AD Connect / Entra Connect
• PowerShell Automation
• MFA & Zero Trust Security
• OAuth, SAML, OpenID Connect, LDAP, Kerberos
Preferred Skills
• CyberArk / BeyondTrust / Delinea
• SailPoint or Saviynt
• Microsoft Defender for Identity
• Microsoft Sentinel
• Terraform / Bicep / ARM Templates
• Azure Security & Cloud Governance
Experience Requirements
• 8–10 years of experience in Identity & Access Management or Cloud Security.
• Minimum 3 years of hands-on experience with Azure PIM and Entra ID administration.
• Experience working in large enterprise/global environments.
• Strong understanding of privileged access governance, compliance, and audit requirements.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Summary
We are looking for a Data Engineer with hands-on experience in Apache Spark and Scala to design, develop, and maintain scalable data processing solutions. The candidate will work on building data pipelines, transforming large datasets, and supporting data-driven applications.
Key Responsibilities
Develop and maintain scalable data pipelines using Apache Spark and Scala.
Perform data extraction, transformation, and loading (ETL) processes.
Process and analyze large volumes of structured and unstructured data.
Write efficient Spark jobs using Scala.
Optimize Spark applications for performance and scalability.
Work with data sources such as databases, APIs, and cloud storage.
Troubleshoot data pipeline issues and ensure data quality.
Collaborate with data analysts, data scientists, and other engineering teams.
Participate in code reviews, testing, and deployment activities.
Follow best practices for data security, reliability, and maintainability.
Responsibilities
Job Summary
We are looking for a Data Engineer with hands-on experience in Apache Spark and Scala to design, develop, and maintain scalable data processing solutions. The candidate will work on building data pipelines, transforming large datasets, and supporting data-driven applications.
Key Responsibilities
Develop and maintain scalable data pipelines using Apache Spark and Scala.
Perform data extraction, transformation, and loading (ETL) processes.
Process and analyze large volumes of structured and unstructured data.
Write efficient Spark jobs using Scala.
Optimize Spark applications for performance and scalability.
Work with data sources such as databases, APIs, and cloud storage.
Troubleshoot data pipeline issues and ensure data quality.
Collaborate with data analysts, data scientists, and other engineering teams.
Participate in code reviews, testing, and deployment activities.
Follow best practices for data security, reliability, and maintainability.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
