ResponsibilitiesDefine and implement effective manual and automated testing strategies across web, mobile, and AI-based solutions. Collaborate with product and development teams to ensure quality is embedded in the entire SDLC. Review and enhance test cases, test plans, and test data preparation to ensure comprehensive coverage. Ensure compliance with internal quality standards and external regulatory requirements, where applicable. Take ownership of defect lifecycle management, release readiness, and final product sign-off. Provide leadership in adopting QA best practices, tools, and emerging trends. Qualification & Experience Bachelor’s degree in Computer Science, Information Technology, or a related field1-2 years of experience in software Testing role. Strong understanding of QA methodologies, STLC, and Agile practices Proven experience in delivering high-quality software solutions Hands-on experience with manual and automated testing tools Strong debugging, analytical, and problem-solving skills Excellent communication, organizational, and leadership abilities Technical Skills Manual Testing Test Automation (Selenium, JUnit, or similar) Performance Testing Test Case Management Tools (TestRail, Zephyr, etc.) Bug Tracking Tools (JIRA, Bugzilla, etc.) SQL for data validation

ResponsibilitiesDesign and implement AI applications using Python, Langchain, RAG, and agentic AI frameworks. Craft sophisticated prompt engineering strategies to maximize model performance and user experience Integrate AI capabilities into existing business workflows and applications Build specialized CI/CD pipelines for AI model lifecycle management Implement containerization (Docker) and orchestration (Kubernetes) for resilient production systems Optimize resource utilization and system performance in AI deployments Leverage Azure services (Azure ML, Azure Databases) to deploy and scale AI solutions Design data pipelines connecting AI systems with SQL/NoSQL databases Implement efficient data storage and retrieval patterns for AI applications Monitor emerging developments in GenAI, agentic systems, and prompt engineering Experiment with novel AI methodologies to enhance solution capabilities Contribute to the organization's AI strategy and technological roadmap Qualification & Experience Advanced Python programming with AI/ML libraries Demonstrated expertise in prompt engineering and generative AI frameworks. Experience implementing DevOps practices for AI systems Proficiency with database technologies (SQL/NoSQL) Strong foundation in Azure cloud services Proven track record deploying AI solutions in production environments Experience with TensorFlow, PyTorch, or other ML frameworks Knowledge of multi-cloud or hybrid cloud environments Understanding of security best practices for AI systems

ResponsibilitiesDesign, develop, and maintain backend services and components for the virtualization solution platform Own features end?to?end, including design, implementation, unit/integration testing, automation, and supportability Contribute to system architecture and technical design discussions Build and maintain automated tests to ensure high code quality and regression coverage Debug and resolve complex issues in development, test, and production environments Participate in code reviews and uphold engineering best practices Continuously improve performance, scalability, reliability, and maintainability of the system  Qualification & Experience Strong hands?on experience in Java and J2EE technologies Experience building distributed systems or cloud?based platforms Solid understanding of data structures, algorithms, and object?oriented design Hands?on experience with testing and automation (unit, integration, system tests) Experience with Linux environments, debugging, and troubleshooting Strong knowledge of virtualization and hypervisors like KVM, hyper-v, Xen etc, storage and protocols like ISCSI, NFS, FC, NVMe Experience working in an agile development environment Ability to take ownership and drive tasks independently to completion Exposure to CI/CD pipelines and DevOps practices Experience with cloud management platforms (e.g., CloudStack, OpenStack, Kubernetes ecosystems) is preferred Bachelor’s/Master’s degree with 4-7 years of experience.

Qualification & Experience Minimum of 8 years designing enterprise product experiencesAn online portfolio demonstrating advanced, wide-ranging experiences In-depth professional knowledge of latest interaction patterns for web, user-centered design process, design principles and techniques Experience using Figma to create low to high fidelity prototypes and mockups Strong written and verbal communication skills with the ability to lead ideation sessions and present a strong rationale for design decisions Individual contributor experience leading teams with complex across-feature/theme interaction Ability to influence day-to-day design and research work that spans multiple themes Ability to balance needs of concurrent projects and work effectively with cross-functional teams Proven track record of defining and guiding features and themes to fit with an overall portfolio Experience understanding the value of, collaborating with, and leveraging user experience research Concrete examples of AI tools usage to improve outcomes (e.g., Copilot, ChatGPT, Claude, Bard, internal ML models, RPA, Figma Make, etc.) Ability to quantify AI impact (e.g., time saved, quality improvements, improved usability, revenue growth, reduced errors, faster delivery) Proficiency with approaches to AI usage (e.g., prompting strategies, data governance considerations, bias mitigation, evaluation/validation of outputs) Practice following relevant safeguards and compliance practices (security, privacy, IP protection) Preferred qualifications: Master's degree in design, human-computer interaction (HCI), or equivalent professional experience Experience advocating for user experience in defining and prioritizing themes across UX and engineering teams Demonstrable experience with complex and modern web designs with the ability to create meaningful and delightful experiences Experience maintaining and evolving design systems Working knowledge of current web-based technologies and frameworks (e.g. CSS, Angular, React) to inform design decisions

Qualification & Experience        Eligibility: Any graduate/Post graduate (Design preferred)          Experience: UI/UX design, wireframing, prototyping, Figma/Adobe XD/Sketch, user research, creativity          

Qualification & Experience        Eligibility: Any graduate/Post graduate Skills: Keyword research, On-page and Off-page SEO, Google Search Console & Analytics, Basic Technical SEO, Competitor analysis, Familiarity with tools like SEMrush, Ahrefs, Ubersuggest. Experience: 6 Months to 2 Years

ResponsibilitiesLead the design and implementation of scalable GCP infrastructure including VPC, Shared VPC, and landing zones. Oversee GCP network topology design including Cloud Interconnect, Cloud VPN, and on-prem connectivity. Manage infrastructure-as-code repositories using Terraform for GCP and enforce IaC best practices. Define and enforce GCP infrastructure standards, labelling policies, and operational procedures. Manage GKE cluster administration including node pools, Workload Identity, and cluster upgrades. Ensure SLA compliance with proactive monitoring using Cloud Monitoring, Cloud Logging, and Datadog. Collaborate with Security team to implement GCP security baseline, CIS benchmarks, and VPC Service Controls. Lead capacity planning, performance tuning, and GCP cost optimization using Cloud Cost Management. Drive automation of infrastructure provisioning and lifecycle management on GCP. Act as technical escalation point for GCP infrastructure-related issues. Participate in disaster recovery (DR) planning, testing, and execution on GCP. Manage GCP enterprise agreements, committed use discounts, and vendor escalations.Qualification & Experience 10+ years of IT experience with 6+ years in cloud infrastructure roles. Strong hands-on expertise with Google Cloud Platform (GCP) — mandatory. Deep knowledge of GCP networking: VPC, Shared VPC, Cloud NAT, PSC, Cloud Interconnect, Cloud VPN. Proficiency in Terraform for GCP infrastructure provisioning and state management. Experience with GKE cluster administration and hybrid connectivity using Anthos. Hands-on experience with GCP IAM, Organization Policies, and resource hierarchy. Experience with hybrid cloud environments and on-prem to GCP connectivity. Proficiency in Linux system administration and shell scripting. Experience with GCP monitoring and observability: Cloud Monitoring, Cloud Logging, Prometheus/Grafana. Google Cloud Professional Cloud Architect or Cloud Network Engineer certification.Experience with Anthos for hybrid/multi-cloud infrastructure management.Knowledge of FinOps tools and GCP committed use discount strategies. AWS or Azure infrastructure experience (nice to have).

ResponsibilitiesWe are looking for a resource with 8+ years of experience, having strong exposure to enterprise scale ASP.NET (C#) and SQL Server–based applications.Updating and fixing .NET (C# / ASP.NET) code to support MySQL connectivity. Performing SQL scripting and/or BCP based data migration from SQL Server to MySQL.Qualification & Experience Programming Language - .Net Full Stack - ASP.NET WEB API Programming Language - C# - C# Programming Language - .Net - .NET Framework Beh - Communication and collaboration Database - Sql Server - SQL Packages

ResponsibilitiesPerform manual testing to validate application functionality and ensure quality deliverables. Design and execute test cases and test scenarios based on requirements. Work in an Agile/Scrum environment, participating in sprint planning, stand-ups, and retrospectives. Develop and maintain automation scripts using Selenium. Identify, log, and track defects through the defect management process. Collaborate with developers, business analysts, and other stakeholders to clarify requirements and resolve issues. Perform basic SQL queries to validate data in databases. Qualification & Experience Good understanding of software testing basics and QA processes. Experience in manual testing.Hands-on experience with Selenium for test automation. Basic knowledge of Java for automation scripting. Basic SQL knowledge for data validation. Experience working in an Agile development environment. Preferred: Understanding of test automation frameworks. Strong analytical and problem-solving skills. Good communication and collaboration skills. 

ResponsibilitiesDesign, develop, test, and maintain scalable and robust software applications. Collaborate with cross-functional teams — including Product Management, QA, and UX — to deliver best-in-class solutions. Participate in architectural discussions and contribute to technical decision-making. Write clean, efficient, and well-documented code following best practices. Identify, debug, and resolve complex technical issues. Continuously improve existing systems and processes through innovative thinking. Engage in agile software development practices (Scrum/Kanban). Champion a culture of performance, reliability, and security across the product lifecycle.  Qualification & Experience Minimum 1 year of hands-on experience in .NET development using C#. Strong understanding of Object-Oriented Programming (OOP) principles. Bachelor’s degree in Computer Science or a related field. Experience working with modern .NET frameworks. Solid foundation in data structures, algorithms, and object-oriented design principles. Ability to write clean, maintainable, and efficient code. Basic understanding of cloud platforms such as AWS or Azure.Familiarity with relational databases (e.g., SQL Server) and exposure to NoSQL databases. Experience using version control systems, especially Git. Knowledge of RESTful APIs, web services, and backend development practices. Good problem-solving skills and willingness to learn new technologies.