Our Careers

ServiceNow is a cloud-based platform that provides enterprise solutions for automating IT service management (ITSM), IT operations, and business workflows. It helps organizations streamline their processes by offering a suite of applications to improve efficiency and reduce operational costs.
Responsibilities:
-> Implementation and Configuration of ServiceNow Modules.
-> Customizing and Developing ServiceNow Applications.
-> Integrating ServiceNow with Third-Party Systems and Tools.
-> Automating IT and Business Workflows.
-> Providing Ongoing Support and Maintenance for ServiceNow Solutions.
-> Ensuring Platform Security, Compliance, and Performance.

Guidewire is a leading platform for the insurance industry, offering solutions for core operations, data management, and digital engagement. It provides software tools that help insurers manage their claims, underwriting, and policy operations.
Responsibilities:
-> Implementation and Configuration of Guidewire Modules.
-> Integration with Third-Party Systems.
-> Customization and Optimization of the Guidewire Platform.
-> Ongoing Support and Maintenance.
-> Collaboration with Business Teams to Enhance Business Processes.

Data Engineering is the practice of designing, building, and managing systems that collect, store, and process large sets of data. It involves creating data pipelines, ensuring data quality, and enabling data-driven decision-making within organizations.
Responsibilities:
-> Data Collection and Integration from Various Sources.
-> Building and Maintaining Data Pipelines.
-> Data Cleaning, Transformation, and Validation.
-> Managing and Optimizing Data Warehouses and Databases.
-> Collaborating with Data Scientists to Provide Data for Analytics.
-> Ensuring Data Security and Compliance.

Artificial Intelligence(AI) is a branch of computer science that focuses on creating systems or machines capable of performing tasks that typically require human intelligence. Machine Learning (ML) is a subset of AI that uses statistical techniques to enable computers to "learn" from data.:
Responsibilities:
-> Data Handling and Preparation.
-> Model Development
-> Deployment and Maintenance
-> Innovation and Research

Generative AI refers to a class of artificial intelligence models that are designed to create new, original content, such as images, text, music, or even code. These models leverage deep learning techniques, particularly neural networks, to generate data that mimics human-like creativity.
Responsibilities:
-> Developing and Training Generative AI Models.
-> Fine-Tuning Models for Specific Use Cases (e.g., text generation, image synthesis).
-> Ensuring the Ethical Use of AI and Avoiding Bias.
-> Integrating Generative AI Solutions into Business Applications.
-> Researching and Advancing AI Techniques for Improved Content Creation.
-> Monitoring and Evaluating the Performance of Generative Models.

Data Analytics involves the process of examining datasets to draw conclusions about the information they contain. It encompasses various techniques like statistical analysis, predictive modeling, and data visualization to help organizations make data-driven decisions and improve business outcomes.
Responsibilities:
-> Collecting and Organizing Data from Various Sources.
-> Performing Statistical and Predictive Analysis on Data.
-> Creating Data Visualizations to Communicate Insights Effectively.
-> Identifying Trends, Patterns, and Anomalies in Data.
-> Developing Reports and Dashboards for Stakeholders.
-> Ensuring Data Quality, Consistency, and Accuracy.

Salesforce is a cloud-based Customer Relationship Management (CRM) platform that helps businesses manage customer interactions, sales, marketing, and service processes efficiently. It provides automation, analytics, and AI-driven insights to enhance business productivity.
Responsibilities:
-> Managing Customer Relationships and Sales Pipelines.
-> Customizing Salesforce Applications to Meet Business Needs.
-> Automating Workflows and Business Processes.
-> Analyzing Customer Data to Drive Sales and Marketing Strategies.
-> Developing Reports and Dashboards for Performance Tracking.
-> Ensuring Data Integrity and Security within the CRM.

Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines expertise in statistics, programming, and domain knowledge to solve complex problems and inform business decisions.
Responsibilities:
-> Data Collection, Cleaning, and Preparation.
-> Statistical Analysis and Data Modeling.
-> Developing Machine Learning Models.
-> Data Visualization and Reporting.
-> Collaborating with Stakeholders to Translate Data Insights into Actionable Strategies.
-> Continuously Improving Algorithms and Data Models.

AWS (Amazon Web Services) with DevOps is a powerful combination that leverages the cloud platform’s infrastructure, tools, and services to implement DevOps practices.:
Responsibilities:
-> Infrastructure as Code (IaC).
-> Continuous Integration/Continuous Deployment (CI/CD).
-> Monitoring and Logging.
-> Security and Compliance.

As a Mobile Apps Developer (Flutter), your role involves developing cross-platform mobile applications using the Flutter framework. Here are some key responsibilities:
Responsibilities:
-> Develop fully functional mobile applications using Flutter.
-> Ensure the performance, quality, and responsiveness of applications.
-> Collaborate with the design and product teams to create seamless user experiences.
-> Write clean and maintainable code.

UI (User Interface) and UX (User Experience) design are essential aspects of creating intuitive and engaging digital products. UI focuses on the look and feel of the product's interface, while UX focuses on optimizing the overall experience by enhancing usability, accessibility, and user satisfaction.
Responsibilities:
-> Designing User Interfaces that are Visually Appealing and Easy to Use.
-> Conducting User Research to Understand Needs, Pain Points, and Behaviors.
-> Creating Wireframes, Prototypes, and Mockups to Guide Design Development.
-> Ensuring Consistency in Design Elements and Branding Across Platforms.
-> Conducting Usability Testing to Identify Areas for Improvement.
-> Collaborating with Developers to Implement the Design and Ensure a Smooth User Experience.

Power BI is a business analytics tool from Microsoft that allows users to visualize data, share insights, and make data-driven decisions. It provides interactive dashboards, reports, and data visualizations, integrating with various data sources to provide actionable insights in real-time.
Responsibilities:
-> Designing and Developing Interactive Reports and Dashboards in Power BI.
-> Connecting Power BI to Different Data Sources (SQL, Excel, Cloud, APIs, etc.).
-> Transforming, Cleaning, and Modeling Data for Reporting and Analysis.
-> Implementing Data Security and Permissions in Power BI Reports.
-> Sharing and Collaborating on Power BI Dashboards with Stakeholders.
-> Optimizing Power BI Reports for Performance and Scalability.

Node.js is an open-source, cross-platform JavaScript runtime built on the V8 JavaScript engine (the same engine that powers Google Chrome). It allows developers to execute JavaScript code outside of a web browser, typically on the server-side. Node.js is designed to build scalable and fast network applications, particularly for I/O-heavy operations such as web servers, APIs, and real-time applications.:
Required Skills:
-> Building API's
-> Real Time Applications
-> Single Page Applications
-> Streaming Servives
-> IOT Applications

React.js (or simply React) is a popular open-source JavaScript library used for building user interfaces (UIs), particularly for single-page applications (SPAs). It was developed and is maintained by Facebook (now Meta) and is widely used for building modern, interactive, and dynamic web applications. React allows developers to create reusable UI components, making it easier to build and maintain complex UIs. It focuses primarily on the view layer in the Model-View-Controller (MVC) architecture.:
Required Skills:
-> Single PAge Appications
-> Dashboards
-> E-commerce Applications
-> Social Media Platforms
-> Mobile Appilications

As a Scrum Master, your role involves facilitating Agile practices and ensuring that the Scrum team adheres to Scrum principles. Here are some key responsibilities:
Responsibilities:
-> Facilitate daily stand-ups, sprint planning, and retrospectives.
-> Remove impediments and protect the team from external distractions.
-> Ensure the team follows Scrum processes and practices.
-> Foster a collaborative and productive team environment.

A Business Analyst is responsible for analyzing business processes, gathering and documenting requirements, and providing solutions that improve efficiency, productivity, and profitability. They act as a bridge between business stakeholders and technical teams to ensure that business needs are met through technology and process optimization.
Responsibilities:
-> Gathering and Documenting Business Requirements.
-> Analyzing Business Processes and Identifying Areas for Improvement.
-> Communicating Requirements to Development Teams and Stakeholders.
-> Creating Functional Specifications and Use Cases.
-> Conducting Cost-Benefit Analysis and Feasibility Studies.
-> Supporting the Implementation and Testing of Solutions.
-> Providing Post-Implementation Support and Continuous Improvement Recommendations.

The MERN Stack is a JavaScript-based technology stack used for building dynamic web applications. It consists of MongoDB (database), Express.js (backend framework), React.js (frontend library), and Node.js (runtime environment), allowing full-stack development with a seamless JavaScript ecosystem.
Responsibilities:
-> Designing and Developing Scalable Full-Stack Web Applications.
-> Creating RESTful APIs with Node.js and Express.js.
-> Implementing Interactive UI Components using React.js.
-> Managing Databases and CRUD Operations with MongoDB.
-> Ensuring Application Performance, Security, and Scalability.
-> Debugging, Testing, and Optimizing Code for Better Efficiency.

As a Python with Data Analytics specialist, your role involves analyzing data using Python to extract insights and support decision-making. Here are some key content areas:
Responsibilities:
-> Data cleaning and preprocessing.
-> Data visualization and reporting.
-> Statistical analysis and modeling.
->Machine learning algorithms.
-> Python libraries such as Pandas, NumPy, and Matplotlib.

Java is a high-level, object-oriented programming language known for its platform independence, scalability, and security. It is widely used in web applications, enterprise software, mobile apps, and backend systems.
Responsibilities:
-> Developing and Maintaining Java-based Applications.
-> Writing Clean, Efficient, and Scalable Code.
-> Implementing Object-Oriented Programming Principles.
-> Designing and Integrating APIs and Databases.
-> Ensuring Application Performance, Security, and Reliability.
-> Debugging, Testing, and Optimizing Code for Better Efficiency.

Software testing is the process of evaluating and verifying that a software application or system meets specified requirements. The primary goal is to identify and fix bugs, ensure quality, and validate that the software functions as expected. It is a critical phase in the software development lifecycle (SDLC) to ensure reliability, performance, and usability.:
Responsibilities:
-> Improved Product Quality..
-> Enhanced Customer Satisfaction.
-> Reduced Maintenance Costs.
-> Compliance with Standards

Digital marketing is the use of electronic devices and the internet to promote products or brands. It's a broad category that includes online marketing, which is marketing that's conducted exclusively on the internet.
Responsibilities:
-> Optimize your Google My Business profile.
->Use landing pages tailored to specific campaigns.
-> Use SMS marketing for direct engagement.
->Focus on customer service to build trust and loyalty.
->Automate follow-ups with drip campaigns.

Communication and personality development are important aspects of life that can help people in many ways, including: Building relationships Communication and personality development can help people build trust, understanding, and compassion with others.
Responsibilities:
-> Tone: Maintain a professional and friendly tone.
-> Practice regularly to build confidence.
-> Be open to feedback without being defensive.
-> Gestures: Use hand gestures naturally to emphasize points.

Aptitude and reasoning are related to a person's ability to learn and perform tasks, and their ability to think logically and make decisions Required Skills:
-> Understand how to simplify and solve ratio problems.
-> Work on direct and inverse variation problems.
-> Focus on series (numeric, alphabetic), analogies, and visual patterns.
-> Learn to identify letter/number codes and decode them.