5+ years of hands-on experience in performance testing and engineering. Develop, maintain, and execute automated performance test scripts using tools such as JMeter, LoadRunner, NeoLoad, Gatling, or similar. Conduct capacity planning and workload modeling to simulate real-world user traffic. Strong understanding of system architecture, networking concepts, and database performance tuning. Analyze performance test results and provide detailed reports with bottleneck identification and tuning recommendations. Analyze performance test results, identify bottlenecks, and provide actionable recommendations to improve system performance. Monitor and analyze system performance metrics using monitoring tools like Dynatrace, AppDynamics, New Relic, AppDynamics, Grafana, Prometheus, Splunk, etc. Familiarity with cloud environments (AWS, Azure, or GCP) and containerized applications (Docker, Kubernetes). Solid understanding of HTTP, WebSockets, RESTful APIs, Microservices Architecture. Strong understanding and experience in analyzing logs. Hands-on experience on using Linux Severs and Database. Knowledge of Agile/Scrum methodologies and working in DevOps environments. Experience with CI/CD pipelines and performance testing integration in tools like Jenkins, GitLab, or Bamboo. Proficiency in programming/scripting languages like Java, Python, Groovy, JavaScript, etc.

Strong experience pre-sale s role with hands on experience of working on RFP, RFI responses and collaterals preparation. Knowledge of software development lifecycle mandatory, should have worked in the services outsourcing industry. Knowledge of Testing/Development processes, lifecycle stages, functional and non-functional testing, test automation etc. Up to date with latest trends in the industry around digital transformation, DevOps, Agile, CI/CD etc. Excellent business communication, presentation, written and interpersonal skills. Quick learner with ability to research on new technologies and topics. Self-driven with ability to work in teams. Expertise in any one domain (BFS, Insurance, Retail, Healthcare). Good content representation skills. Develop winnable and profitable solution proposals meeting client requirements while ensuring deliverability with managed risks. Work closely with sales team and on deals taking end to end responsibility for proposal response preparation. Represent technical solutions in customer meetings and have conviction to get stakeholder buy-in. Activities include understanding client requirements, solution ideation, developing solution plan, solution architecture, project estimation/ estimation review, coordinating with support teams like Delivery/ Data connectivity /deal financials etc., financial modelling, orals presentations, anchor customer visits, creating sales collaterals etc. Final editing of proposal response documents and creating client deliverable package. Managing repository of reusable content & assets (Presales Portal, Dashboard, Templates etc.). Leading team of presales executives and reviewing their deliverables/ mentoring the team.

Design, develop, and execute comprehensive ETL test cases and scenarios to validate data transformation, migration, and integration processes. Perform data validation between source and target systems to ensure data accuracy and completeness. Verify ETL workflows, transformations, mappings, and scripts for accuracy and performance. Strong hands-on experience in ETL tools such as Informatica, Talend, SSIS, or DataStage. Proficiency in SQL and database technologies (e.g., Oracle, SQL Server, MySQL). Familiarity with data warehousing concepts, data modelling, and OLAP/OLTP systems. Identify, document, and track defects in the ETL processes using defect management tools. Work closely with development and data engineering teams to resolve issues promptly. Collaborate with business analysts, developers, and stakeholders to gather and understand requirements. Support UAT and end-to-end testing efforts by coordinating with cross-functional teams. Generate and maintain detailed testing reports, including defect logs, execution results, and performance metrics. Communicate testing progress, risks, and outcomes effectively to stakeholders. Experience with test management and defect tracking tools like JIRA, HP ALM, or equivalent. Exposure to automation tools/frameworks for ETL testing is a plus. Ability to analyse and troubleshoot performance issues in ETL processes. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills.

Job Description: Build and maintain RESTful APIs and Web Services to support front-end applications. Implement microservices architecture, ensuring modular and scalable solutions. Design, develop, and maintain web applications using ASP.NET Core/MVC, C#, and NET frameworks. Develop front-end interfaces using React, Angular, Blazor or Vue.js, along with HTML, CSS, and JavaScript. Developing and maintaining client relationships. Interacting and consulting with design and construction professionals. Working independently on projects and concurrently with project managers. Preparing and supervising architectural plans, drawings, and specifications. Overseeing and delivering projects. Contributing to the strategic direction of the practice, its design ethos, quality management systems and marketing plans. Experience in developing applications using C# and ASP.NET (.NET Standard and .NET Core). Back-End Technologies: .NET Core, MVC, Web API, C#, Entity Framework and Microservices. Front-End Technologies: HTML, CSS, JavaScript. Frameworks like React, Angular or Vue.js. Database Management: SQL and NoSQL databases, Database design and optimization. Cloud Computing: Platforms like AWS, Azure, or Google Cloud, Cloud-native architectures. API Design: RESTful APIs. Software Design Patterns: Understanding and applying architectural and design patterns. Software Architecture N Tier Serverless/Event Driven Microservices. Experience of working with Agile methodologies such as Scrum or Kanban and of working within Agile software development environments. Experience with SSRS Report Server. Exposure to ASPX Web Applications. Familiarity with Azure Cloud Services such as: Azure Service Bus, Azure Edge Functions (and other relevant services). Experience with DevOps practices including CI/CD build pipelines (GitLab, Jenkins, Selenium). Experience with .net Unit Testing frameworks. Exposure to Azure / AWS / Google Cloud to use their services. Docker & Kubernetes Containerization and orchestration. Worked in ticketing tools like Jira, and Azure Boards.

Job Description: Looking for test engineer with a strong background in Playwright and extensive experience in JavaScript or TypeScript. The ideal candidate will have 7+ years of experience in the software testing domain, with a proven track record in designing, implementing, and optimizing test automation frameworks. 7+ years of experience in software testing, with a minimum of 5 years in test automation & 2-3 years in Playwright tool. Proven experience with Playwright, including hands-on development of automation scripts. Strong expertise in JavaScript and/or TypeScript for test automation. Deep understanding of automation frameworks and testing methodologies. Experience with CI/CD pipelines and integrating automated tests within them. Familiarity with other automation tools and technologies is a plus. Experience with mobile testing frameworks. Knowledge of cloud-based testing tools and platforms. Understanding of Agile and DevOps practices.

Must have knowledge of IT Technologies Services specially in QA & Software Testing, Application Dev, Cloud, AI and Data & Analytics domain. Candidate should be flexible with shifts and ready to work from office. Should have experience working in USA Market. Candidate should have experience in creating own database using tools like LinkedIn Sales Navigator. Candidate should have experience in generating leads through Email automation tool like Leadsquared, Hubspot, Freshworks and more. Design and execute email campaigns through outlook, LinkedIn outreach and cold calling to generate leads by targeting the right prospects. Should have experience in maintaining, managing and regularly update email responses in structured formats while ensuring timely follow-ups with prospects.

Define and evolve the Quality Engineering strategy for the Banking & Financial Services vertical. Act as a domain leader, SME, and client advisor for banking-related testing engagements. Drive innovation in QE offerings includes automation, performance, security, and AI-led testing. Own end-to-end delivery accountability for key banking clients. Ensure high-quality deliverables, stakeholder management, and measurable outcomes across QE engagements. Support pre-sales, solutioning, and RFP/RFI responses for new business opportunities. Build and mentor a strong team of domain-focused test managers, leads, and engineers. Conduct training, workshops, and knowledge-sharing sessions to scale the practice. Collaborate with L&D and CoEs to drive continuous competency development. Identify white space in the banking QE landscape and build differentiated service propositions. Represent the practice in client meetings, conferences, and webinars. Publish thought leadership content (blogs, PoVs) around QE trends in the banking industry. Experience with US banking regulations, QA practices, and digital transformation programs. Exposure to Middle East BFSI clients and compliance landscape. Proven experience in leading large delivery teams and practice-building initiatives. Excellent client-facing skills, with the ability to influence senior stakeholders. Strong written, verbal, and presentation communication skills. Strong experience in test automation (Selenium, TOSCA, UFT), API testing, DevOps, and AI-led testing. Familiarity with performance/security tools (e.g., JMeter, LoadRunner, BurpSuite) is desirable. Understanding of Agile, CI/CD, and Cloud-native testing practices.

Total experience of 15 years with at least 5 years experience in solution architecture. Should have designed and implemented enterprise level high-performance, secure, microservices-based systems on .NET/Java/Python. Experienced in defining architecture frameworks APIs, integrations, cloud services, data pipelines aligned with business goals. Hands-on experience with cloud platforms such as Azure, AWS, or GCP, including containerization. technologies like Docker and Kubernetes. Strong understanding of data architecture, ETL processes, and analytics platforms. Should be able to architect cloud-native solutions using AWS, Azure, GCP leveraging containers (Docker/Kubernetes) and infrastructure-as-code (Terraform, ARM). Lead and mentor cross-functional teams, fostering a culture of innovation and continuous improvement. Stay current with emerging tech AI/ML, RPA, generative AI, vector search and advise on adaptation. Collaborate with clients to understand their business needs and translate them into technical solutions that drive value. Experience in Agile software development methodologies. Soft Skills: Excellent problem-solving abilities, communication skills, and a proactive approach to stakeholder management. Certification: Relevant certifications such as Azure Solutions Architect, AWS Certified Solutions Architect, or TOGAF.

Developing project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility. Ensure that all projects are delivered on time, within scope and within budget with detailed project planning to track progress. Lead, monitor, and motivate different teams across the company and interact with staff at all levels in the organization. Handling multiple projects, good in estimation, Design & Overall ownership to project. Use appropriate verification techniques to manage changes in project scope, schedule and costs. Perform risk management to minimize project risks report and escalate to management as needed. Measure project performance using appropriate systems, tools and techniques. Provide process improvement recommendations that are based on best practices and industry standards. Excellent team management and customer management skills. Strong experience of product development lifecycle. Strong experience in Project Management. Experience in executing DevOps, Cloud and BI projects would be a plus. Understanding/experience on microservices or serverless application development would. Solid technical background, with understanding or hands-on experience in software development and web technologies. Must have extensive working knowledge of Agile methodologies. Must have extensive experience of requirement analysis, task allocation, task progress tracking, process documentation, status meetings with stakeholders. Should be familiar with project management and execution tools. Excellent interpersonal and communication skills, ability to deal with client independently and lead & mentor teams. Strong sense of personal accountability regarding decision-making and supervising. Technology stack .NET, Restful APIs/Microservices based development. Exposure to automation/building tools like Maven, Jenkins, CI, CloudFormation and others.

15+ years of overall experience with 8+ years in leading large-scale data engineering or data platform initiatives. Define the strategic direction and roadmap for the Data Engineering practice. Establish best practices, frameworks, and standards across data engineering projects. Lead innovation and solution development aligned with emerging technologies and market trends. Represent the practice in client meetings, proposals, and presentations. Engage with clients to understand their business needs and define data strategies. Support sales and pre-sales teams with solutioning, estimation, and proposal development. Should be abreast of industry trends and emerging technologies in cloud platforms, real-time streaming, and data ops as well as data for AI. Lead the evaluation and adoption of modern data engineering tools and platforms. Drive internal PoCs, accelerators, and reusable IP development. Build, mentor, and lead a high-performing team of data engineers, architects, and technical leads. Oversee delivery of complex data engineering projects, ensuring quality, timeliness, and customer satisfaction. Define scalable delivery models and reusable components to improve efficiency and reduce time-to-market. Architect and oversee large-scale, automated data pipelines using tools like Apache Spark, Kafka, Airflow. Unified data management across on-premises and cloud. Serverless Data Processing (AWS Lambda, Azure Functions). Real time streaming Apache Flink, Kafka, AWS Kinesis. Low Code Data Pipeline AWS Glue, Airbyte. ETL & messaging tools: Spark, Kafka, Airflow. Hands on experience on SQL, NoSQL, data lakes, warehouses. Knowledge on Snowflake is a big plus. Strong hands-on knowledge of SQL, Python/Scala, and distributed data architectures. Cloud platforms: AWS, GCP, Azure (incl. IaC, DevOps). Solid understanding of data governance, data security, and compliance frameworks. Collaborate with clients to understand their business needs and translate them into technical solutions that drive value.

Design, develop and execute manual and automated functional test cases based on product requirements and user stories. Perform regression, integration, and system testing to ensure product stability. Conduct thorough API testing (using tools like Postman, Swagger, etc.) and validate backend services. Perform browser compatibility testing across different devices, platforms, and browsers. Report and track defects using tools like JIRA or Azure DevOps, and work closely with developers to ensure timely resolution. Collaborate with developers, business analysts, and product managers during Agile development cycles. Ensure thorough test coverage and maintain high quality standards across the product lifecycle. Contribute to continuous improvement of QA processes and test strategies.

Design, develop and execute manual and automated functional test cases based on product requirements and user stories. Perform regression, integration, and system testing to ensure product stability. Conduct thorough API testing (using tools like Postman, Swagger, etc.) and validate backend services. Perform browser compatibility testing across different devices, platforms, and browsers. Report and track defects using tools like JIRA or Azure DevOps, and work closely with developers to ensure timely resolution. Collaborate with developers, business analysts, and product managers during Agile development cycles. Ensure thorough test coverage and maintain high quality standards across the product lifecycle. Contribute to continuous improvement of QA processes and test strategies.

Design and Implement Artificial Intelligence and Data Science solutions on Cloud at enterprise scale. Contextual understanding of customer requirements with visions, strategies, and roadmaps for implementation. Collaboration with solution architects, business analysts and partner architects/stakeholders in Global Delivery model for AI Solution development. Play a key role in defining AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings. Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools. Audit AI tools and practices across data, models and software engineering with a focus on continuous improvement Understand the workflow and pipeline architectures of ML and Deep Learning workloads. Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). Hands-on programming skill on at least one language C#.net or node.js or python. Expert on Cloud competencies on Artificial Intelligence and Machine Learning PaaS components. Contextual Conversation design (Azure BOT service/Amazon Lex/ Google Dialog flow) for personalized and humanized interaction with end user for complex business cases. Natural Language Processing model design, training and publishing for multiple languages. Custom Speech model Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocab. Computer vision OCR, Face Recognition, Custom model for Object detection and classifications. Document/Form Entity Extraction. Cognitive Search on heterogeneous unstructured data. Enterprise Channel Integration for AI. Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes. Azure/ AWS/ GCP/ Watson certifications on AI & Data Science like AI 102, DP 100. Exp In Years Subscribe for more info Join the Insightful Webinar on AI-Driven Property Underwriting.