Azure Pipelines Jobs in Ahmedabad

Job Title: Senior Software Engineer Location: Ahmedabad Employment Type: Full-Time Experience Required: 5+ Years Position Overview: We are seeking an experienced Senior Software Engineer with a strong background in C# and .NET technologies to join our team in Ahmedabad. The ideal candidate will have extensive backend development experience, a deep understanding of architecture design patterns, and a proven track record of delivering scalable and maintainable software solutions. Key Responsibilities: Design, develop, and maintain backend applications using C# and .NET Core Work extensively with .NET Framework 4.0+ and ASP.NET technologies Apply high-level technical architecture design patterns and develop detailed low-level designs Collaborate effectively in an agile development environment Use version control systems like Git/GitHub for source code management Analyze, troubleshoot, and solve complex software problems Contribute to code reviews, mentoring, and knowledge sharing within the team Understand and implement microservice architecture principles Required Skills & Qualifications: Strong grasp of Object-Oriented Programming (OOPS) concepts with C# Proven experience in .NET Framework 4.0+ and backend development using .NET Core and ASP.NET Experience working in agile teams and understanding of agile methodologies Familiarity with version control systems such as Git/GitHub Strong analytical, problem-solving, and communication skills Basic understanding of microservices architecture Good to Have: Experience with Identity Framework for authentication/authorization Knowledge of MongoDB or other NoSQL databases Hands-on experience with CI/CD pipelines, preferably Azure DevOps Immediate availability or notice period of up to 1 month

Job Title: Sr. Python / AI-ML Developer Location: Ahmedabad Experience: 3+ Years Qualification: Graduate in any discipline About Us: At Bytes Technolab, we strive to foster innovation through a robust digital infrastructure and a dynamic work environment. Our goal has always been to empower our developers with cutting-edge tools and technologies, enabling them to deliver world-class software solutions to startups, enterprises, and everything in between. We are looking for a highly skilled and driven Sr. Python / AI-ML Developer to join our expanding AI/ML team. If you're passionate about solving complex problems with intelligent solutions, we d love to hear from you. Key Responsibilities: Develop, train, and optimize machine learning and deep learning models using Python and its ML/AI ecosystem (NumPy, Pandas, scikit-learn, etc.). Work with leading ML/AI frameworks such as PyTorch, TensorFlow, Keras, OpenCV, and FaceNet. Leverage GPU acceleration (CUDA, cuDNN) for deep learning development and optimization. Design and implement solutions in computer vision, natural language processing (NLP), and neural networks. Work with large language models (LLMs) like GPT, BERT, and LLaMA, including tasks such as fine-tuning, embedding-based retrieval (RAG), and prompt engineering. Develop agentic AI systems using frameworks like LangChain, AutoGPT, BabyAGI, and custom orchestration pipelines. Translate complex business requirements into scalable AI/ML solutions. Deploy models on cloud platforms (AWS SageMaker, Azure ML, or Google AI Platform). Build and manage robust ETL pipelines, handle data preprocessing, and perform feature engineering. Implement MLOps workflows using tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Containerize and orchestrate scalable deployments using Docker and Kubernetes. Manage model evaluation, A/B testing, continuous training pipelines, and CI/CD for ML systems. Work closely in Agile/Scrum teams and contribute to collaborative solution design. Ensure AI solutions adhere to ethical principles, and are fair, interpretable, and secure. Required Skills & Qualifications: 3+ years of professional experience in AI/ML model development and deployment. Expertise in Python and relevant libraries for AI/ML and data science. Strong grasp of neural networks, computer vision, and NLP fundamentals. Experience working with LLMs and agent-based architectures. Proficiency in cloud-based ML deployment and automation. Solid experience with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving and analytical skills. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Familiarity with data versioning (DVC, Delta Lake) and continuous model delivery. Understanding of responsible AI practices including fairness and bias mitigation. Work on cutting-edge technologies in a high-growth, collaborative environment. Opportunity to lead AI/ML projects from ideation to production. Exposure to real-world applications of LLMs, MLOps, and agentic systems. Learn and grow with a passionate team of engineers, innovators, and thinkers.

Job Title: Data Engineer Location: Ahmedabad, Gujarat Job Type: Full-Time About the Role We re seeking a talented Data Engineer with hands-on experience in Azure-based data solutions. If you excel at building scalable data pipelines and have a strong command of Azure Data Factory, Databricks, PySpark, and Python, we want to hear from you. Experience with Azure Synapse Analytics, Microsoft Fabric, or Power BI will be a strong advantage. What You ll Do Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Process and transform large datasets using PySpark and Python. Build and maintain data lakes and data warehouses on the Azure Cloud. Collaborate with data architects, analysts, and business stakeholders to develop effective data solutions. Ensure high standards of data quality, consistency, and reliability. Optimize pipeline performance and manage cloud costs efficiently. Apply best practices for data security, governance, and monitoring. Document workflows and contribute to architectural decisions. 3 5 years of hands-on experience in Data Engineering. Proficiency with: Azure Data Factory (ADF) Azure Databricks Azure SQL Python and PySpark Azure Storage (Blob, Data Lake Gen2) Experience with data lakehouse or modern data warehouse architecture. Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus. Strong SQL skills and experience with performance tuning. Understanding of CI/CD processes in Azure. Excellent analytical and problem-solving abilities. Bonus Skills (Preferred but not required) Experience with Azure Synapse Analytics. Knowledge of Microsoft Fabric. Power BI experience for dashboards and reporting. Exposure to DevOps and Infrastructure as Code (IaC). Understanding of data governance and security frameworks. Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional).

Job Title: Data Engineering Intern / Junior Data Engineer Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a passionate and motivated Data Engineering Intern to join our team. This is an excellent opportunity for individuals with a foundational understanding of data concepts who are eager to gain hands-on experience with real-world data engineering projects and modern cloud technologies. Key Responsibilities Assist in building and maintaining ETL/ELT data pipelines. Support data extraction, transformation, and loading processes. Help design and implement data warehouses and data lakes. Work closely with senior engineers and analysts to understand data requirements. Write basic SQL queries and Python scripts for data manipulation. Participate in data validation and quality checks. Document workflows, processes, and technical details. What You ll Need Basic understanding of SQL and Python. Familiarity with ETL concepts and data warehouse/lake architectures. Interest in cloud platforms such as Azure, AWS, or Google Cloud. Strong problem-solving skills and analytical thinking. Willingness to learn, adapt, and take initiative. Clear and effective communication skills. Bonus Skills (Nice to Have) Exposure to tools like Azure Data Factory, Databricks, or Power BI. Academic or personal projects related to data engineering. Familiarity with Git or other version control systems. Get hands-on experience with industry-standard data tools and technologies. Learn from a collaborative and experienced team. Build a solid foundation for a career in data engineering. Opportunity for full-time employment based on performance and growth.

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

Job Title: DevOps Engineer Location: Ahmedabad, India Experience Required: 3 to 7 Years Role Overview As a DevOps Engineer, you ll be responsible for managing and improving infrastructure for both production and development environments. You'll collaborate across engineering teams to ensure seamless integration, scalable systems, and continuous delivery of quality software products. Key Responsibilities Build and maintain secure, scalable infrastructure for production and development. Automate deployment processes and improve CI/CD workflows. Work with public cloud services (AWS, Azure, or GCP) for infrastructure provisioning and monitoring. Implement Infrastructure as Code (IaC) using tools like Terraform or Ansible. Troubleshoot and resolve infrastructure issues quickly and effectively. Collaborate with developers to ensure smooth and efficient software delivery. Manage and optimize Linux-based server environments. Configure and maintain databases such as MySQL and MongoDB. Support containerization using Docker and orchestration with Kubernetes. Design and maintain CI/CD pipelines for microservices and frontend deployments. Ensure high availability, performance, and security of systems and services. Coordinate with cross-functional teams to plan scaling and capacity requirements. Required Skills & Qualifications Minimum 3 years of professional experience in a DevOps role. Hands-on experience with at least one major public cloud platform (AWS, Azure, or GCP). Strong Linux/Unix systems administration background. Proficiency in scripting languages like Bash, Shell, or Python. Experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions. Familiarity with container technologies like Docker and orchestration tools like Kubernetes. Knowledge of database management (MySQL, MongoDB). Working knowledge of tools like Git, JIRA, and Confluence. Strong troubleshooting, problem-solving, and communication skills. Nice to Have Experience with monitoring/logging tools like Prometheus, Grafana, ELK Stack, or similar. Exposure to microservices architecture and cloud-native deployment strategies. Knowledge of version control best practices and release management. Be part of a fast-growing tech company at the cutting edge of infrastructure and DevOps innovation. Work on challenging problems in a collaborative and supportive environment. Opportunity to influence DevOps strategy and infrastructure decisions. Located in the heart of Ahmedabad, offering a great work-life balance.

Job Title: DevOps Lead Multi-Cloud Expert (AWS, Azure, GCP) Location: Ahmedabad, India We are seeking an experienced DevOps Lead with strong expertise across AWS, Azure, and Google Cloud Platform (GCP) to lead our cloud infrastructure and automation initiatives. This leadership role requires deep technical skills, proven project management experience, and the ability to mentor a growing DevOps team in delivering scalable, secure, and efficient cloud solutions. Key Responsibilities: Collaborate with cross-functional teams to design, build, and deploy solutions using serverless architectures, microservices, IaaS, PaaS, and containerization in multi-cloud environments (AWS, Azure, GCP). Develop reusable, parameterized Infrastructure as Code (IaC) templates for automated provisioning using Terraform and/or CloudFormation. Architect and manage end-to-end CI/CD pipelines leveraging native cloud tools such as AWS CodeBuild, CodeDeploy, CodePipeline, Azure DevOps, and Google Cloud Build. Integrate third-party tools like SonarQube into CI/CD workflows to enhance code quality and security. Perform configuration management using tools like Ansible and automate processes via scripting in PowerShell, Bash, or Python. Administer both Windows and Linux systems within cloud environments to ensure robust operations. Install, configure, and maintain DevOps tools across multiple cloud platforms ensuring smooth and reliable deployments. Required Skills & Experience: 8+ years of senior-level experience in DevOps, Cloud Engineering, or related roles with deep expertise in AWS, Azure, and GCP. Proven leadership skills with experience mentoring and managing DevOps teams. Advanced knowledge of containerization and orchestration tools including Docker and Kubernetes (K8s). Strong hands-on experience with Terraform and other Infrastructure as Code tools. Expertise in building and managing CI/CD pipelines using cloud-native services. In-depth understanding of Cloud Networking concepts, including VPCs, Network Security Groups (NSGs), DNS, and Routing. Solid knowledge of both Linux and Windows operating systems, including endpoint security best practices. Ability to diagnose, troubleshoot, and provide strategic solutions for complex cloud infrastructure and application issues. Excellent communication skills for client interaction, team collaboration, and translating technical concepts for non-technical stakeholders. Lead high-impact cloud and DevOps initiatives across diverse multi-cloud platforms. Work with cutting-edge technologies in a collaborative, innovative environment. Mentor and grow a talented team of DevOps professionals.

Job Title: DevOps Lead Experience: 8+ Years Job Role & Responsibilities Collaborate with teams to design, build, and deliver solutions implementing serverless, microservices-based, IaaS, PaaS, and containerized architectures in AWS, Azure, and GCP cloud environments. Develop reusable and parameterized Infrastructure as Code (IaC) templates for the automated deployment of cloud resources using Terraform and/or CloudFormation. Build and manage CI/CD pipelines using AWS CodeBuild, CodeDeploy, CodePipeline, and equivalent tools in Azure DevOps and Google Cloud Build. Integrate 3rd party tools with CI/CD processes (e.g., SonarQube). Perform configuration management using industry-standard DevOps tools (e.g., Ansible). Implement scripting to enhance build, deployment, and monitoring processes using PowerShell, Bash, or Python. Work with Windows and Linux systems in cloud environments. Install, configure, and manage DevOps tools across AWS, Azure, and GCP. Required Skills 8+ years of senior-level experience in AWS, Azure, and GCP in a DevOps or Engineering role, with a proven track record in client communications and project management. Strong leadership and team management skills, including mentoring junior team members. Expertise in DevOps tools and concepts, including Docker, Kubernetes (K8s), Terraform, and multi-cloud environments. Ability to develop and lead CI/CD pipelines using AWS, Azure, and GCP-native tools. Strong understanding of Cloud Networking, including VPCs, NSGs, DNS, and Routing. In-depth knowledge of Linux and Windows operating systems, including endpoint protection. Experience diagnosing and troubleshooting complex system and application issues, with the ability to provide strategic solutions. Exceptional problem-solving, analytical, and critical thinking skills. Excellent communication and interpersonal skills, with the ability to manage client relationships and explain technical concepts to non-technical stakeholders.

Tech Lead/ Senior Full Stack Developer Experience: 4+ years Number Of openings: 1 Location: Ahmedabad, Gujarat About Bosc Tech Labs Bosc Tech Labs is a growing technology solutions provider specializing in web and mobile application development, AI/ML solutions, and enterprise software. We focus on innovation, scalability, and efficiency, delivering high-quality digital solutions to our clients. Our team is dedicated to fostering a collaborative and professional work environment where innovation and expertise drive success. Key Responsibilities Lead and oversee the design, development, and implementation of scalable web and mobile applications. Provide technical guidance, code reviews, and mentorship to the development team. Work closely with clients and internal stakeholders to gather requirements and propose technical solutions. Design system architecture, optimize application performance, and ensure high standards of security and scalability. Troubleshoot, debug, and resolve technical issues efficiently. Stay updated with emerging technologies and recommend improvements to existing tech stacks. Required Skills & Qualifications 5+ years of experience in full stack development. Proficiency in frontend frameworks such as React, Angular, or Vue. Strong backend development skills using Node.js, Python, .NET, Java, or similar technologies. Solid understanding of databases including SQL, NoSQL, Firebase, etc. Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus. Familiarity with CI/CD pipelines, DevOps practices, and Agile development methodologies. Excellent problem-solving skills and the ability to troubleshoot complex issues. Strong communication skills and experience managing client interactions.

Position: Senior Engineer/Technical Lead (DevOps Engineer - Azure) Job Description: Key Responsibilities: Azure Cloud Management: Design, deploy, and manage Azure cloud environments. Ensure optimal performance, scalability, and security of cloud resources using services like Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, Azure Storage, and Azure SQL Database. Automation & Configuration Management: Use Ansible for configuration management and automation of infrastructure tasks. Implement Infrastructure as Code (IaC) using Azure Resource Manager (ARM) templates or Terraform. Containerization: Implement and manage Docker containers. Develop and maintain Dockerfiles and container orchestration strategies with Azure Kubernetes Service (AKS) or Azure Container Instances. Server Administration: Administer and manage Linux servers. Perform routine maintenance, updates, and troubleshooting. Scripting: Develop and maintain Shell scripts to automate routine tasks and processes. Helm Charts: Create and manage Helm charts for deploying and managing applications on Kubernetes clusters. Monitoring & Alerting: Implement and configure Prometheus and Grafana for monitoring and visualization of metrics. Use Azure Monitor and Azure Application Insights for comprehensive monitoring, logging, and diagnostics. Networking: Configure and manage Azure networking components such as Virtual Networks, Network Security Groups (NSGs), Azure Load Balancer, and Azure Application Gateway. Security & Compliance: Implement and manage Azure Security Center and Azure Policy to ensure compliance and security best practices. Required Skills and Qualifications: Experience: 5+ years of experience in cloud operations, with a focus on Azure. Azure Expertise: In-depth knowledge of Azure services, including Azure Virtual Machines, Azure Kubernetes Service, Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, Azure Monitor, Azure Application Insights, and Azure Security Center. Automation Tools: Proficiency in Ansible for configuration management and automation. Experience with Infrastructure as Code (IaC) tools like ARM templates or Terraform. Containerization: Hands-on experience with Docker for containerization and container management. Linux Administration: Solid experience in Linux server administration, including installation, configuration, and troubleshooting. Scripting: Strong Shell scripting skills for automation and task management. Helm Charts: Experience with Helm charts for Kubernetes deployments. Monitoring Tools: Familiarity with Prometheus and Grafana for metrics collection and visualization. Networking: Experience with Azure networking components and configurations. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues. Communication: Excellent communication skills, both written and verbal, with the ability to work effectively in a team environment. Preferred Qualifications: Certifications: Azure certifications (e.g., Azure Administrator Associate, Azure Solutions Architect) are a plus. Additional Tools: Experience with other cloud platforms (AWS, GCP) or tools (Kubernetes, Terraform) is beneficial. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services "

Job Title: Azure DevOps Engineer Required Experience: 1-3 Years Job Location: Ahmedabad/Pune Educational Qualifications: UG: BE/BTech (CE, IT, EC, EEE) PG: MCA/MSC IT Job Description: We are seeking a talented Azure DevOps Engineer to join our expanding team. In this role, you will be responsible for designing, developing, and deploying robust applications using Azure cloud technologies. Your work will be pivotal in automating, optimizing, and ensuring the efficiency of our cloud infrastructure and deployment pipelines. Key Responsibilities: Azure Resource Management: Support deployment and maintenance of Azure resources, such as Virtual Machines, Storage Accounts, Azure Functions, and Azure Kubernetes Service (AKS). CI/CD Pipeline Management: Assist in creating, managing, and optimizing CI/CD pipelines using Azure DevOps to ensure seamless integration and deployment of applications. Clean Code Practices: Write clean, scalable, and efficient code while adhering to best development practices. Automation Collaboration: Work with development teams to automate build, test, and deployment processes, driving faster and more reliable releases. Infrastructure Monitoring: Monitor the performance and reliability of infrastructure and pipelines, implementing improvements as needed. Troubleshooting: Troubleshoot and resolve issues related to builds, releases, environments, and cloud infrastructure. Documentation: Document DevOps processes, configurations, and best practices to ensure consistency and knowledge sharing across the team. Key Requirements: DevOps Experience: Proven experience in DevOps roles, ideally in cloud-based environments. Azure Knowledge: In-depth knowledge of Azure Cloud services, including Azure DevOps, App Services, Functions, Virtual Machines, and AKS. CI/CD Expertise: Hands-on experience with Azure DevOps pipelines and automating software delivery processes. Infrastructure as Code: Proficiency with Infrastructure as Code (IaC) tools like Terraform or ARM templates for managing cloud resources. Version Control: Knowledge of version control systems like Git and Azure DevOps, with an understanding of branching strategies. Scripting Skills: Experience in scripting languages such as PowerShell, Bash, or Python to automate workflows. Containerization: Familiarity with containerization tools such as Docker for application packaging and deployment. Analytical Mindset: Strong analytical and problem-solving abilities with a continuous learning mindset. Pipeline Troubleshooting: Experience in logging, troubleshooting, and optimizing deployment pipelines to ensure smooth operations. Good to Have: Azure Certifications: Certifications such as AZ-900 (Azure Fundamentals) or AZ-104 (Azure Administrator Associate) are a plus. AI/ML Understanding: Knowledge of AI/ML concepts and their integration into cloud environments. Monitoring Tools: Familiarity with logging and monitoring tools like ELK Stack and Grafana for operational insights. SonarQube: Experience with SonarQube for continuous code quality analysis.

Job Title: Lead React Developer Location: Ahmedabad, India Job Type: Full Time Company: Rapidops Inc. About Rapidops: Rapidops Inc. is one of the fastest-growing digital products and software companies in the USA. We are dedicated to enabling businesses and individuals to thrive by transforming industries with innovative digital products, software, and services. Our products touch millions of lives daily, solve tough problems, and contribute to making the world a better place. There is still much more to build and transform! Job Overview: We are looking for a skilled and experienced Lead React Developer to lead our front-end development team. The ideal candidate will have a minimum of 5 years of experience working with React.js and will be responsible for designing, building, and maintaining high-quality web applications. As a team lead, you will guide and mentor developers while collaborating with cross-functional teams to ensure the success of our projects. Key Responsibilities: Leadership & Mentorship: Lead the front-end development team, providing guidance, mentorship, and support to React developers. Conduct code reviews, ensuring adherence to best practices, coding standards, and quality metrics. Front-End Development: Design and implement scalable and maintainable React.js applications. Collaborate with UI/UX designers, backend developers, and product managers to define project scope and requirements. Component & Tool Development: Develop and maintain reusable components, libraries, and tools that can be used across multiple projects. Optimize applications for performance, scalability, and maintainability. Quality Assurance: Ensure high code quality by enforcing best practices for testing, version control, and documentation. Implement unit testing, integration testing, and end-to-end testing to ensure the reliability of the codebase. Collaboration: Work closely with the DevOps and backend teams to integrate RESTful APIs and other services. Stay updated with the latest industry trends, tools, and technologies, and integrate them into the development process. Agile Process: Manage and coordinate team activities in an Agile development environment (participating in sprint planning, stand-ups, and retrospectives). Troubleshoot, debug, and resolve technical issues throughout the development cycle. Skills & Qualifications: Experience: Minimum of 5 years of experience in front-end development with a focus on React.js. Strong knowledge of JavaScript (ES6+), HTML5, and CSS3. React & State Management: Proficiency in React hooks, state management (e.g., Redux or Context API), and building complex components. Technical Skills: Solid understanding of front-end architecture, design patterns, and best practices. Experience with front-end build tools like Webpack, Babel, and NPM. Familiarity with RESTful APIs and integrating third-party services. Experience with version control systems (particularly Git) and debugging tools (e.g., React Developer Tools). Cross-Browser & Responsive Design: Excellent understanding of cross-browser compatibility, web standards, and responsive design principles. Testing & Quality Assurance: Knowledge of unit testing frameworks like Jest, Mocha, or Enzyme. Agile Methodologies: Experience with Agile development methodologies, such as Scrum or Kanban. Leadership & Communication: Strong leadership and communication skills, with the ability to mentor junior developers and collaborate in a team environment. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience with server-side rendering frameworks such as Next.js. Familiarity with TypeScript for type-safe development. Experience with CI/CD pipelines and automated deployment processes. Knowledge of cloud platforms like AWS, Azure, or Google Cloud. Familiarity with GraphQL and its integration with React. Experience with performance optimization techniques for React apps. Knowledge of Docker and containerized applications. Education: Bachelor s degree in Computer Science, Information Technology, or a related field. A Master s degree is a plus. Why Join Us: Innovative Environment: Work in an innovative, fast-paced environment where your contributions directly impact business growth and product development. Growth Opportunities: Rapid career growth with opportunities to lead and shape projects and teams. Cutting-Edge Technology: Stay at the forefront of the latest technologies and frameworks in web development. Global Impact: Work with top clients and impact digital transformation projects on a global scale. If you are passionate about creating world-class React applications, mentoring developers, and leading teams, we would love to hear from you! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field. A Masters degree is a plus.

Job Title: Tech Lead Frontend - React Location: Ahmedabad (On-site) Job Type: Full-time About Rapidops: Rapidops Inc. is one of the fastest-growing digital products and software companies in the USA. We are passionate about enabling companies and individuals to thrive in their work. At Rapidops, we partner with businesses of all sizes to help transform industries through our advanced digital products, software, and services. Our solutions touch millions of lives, solve complex problems, and make the world a better place. And there s much more to build and transform! Job Overview: We are seeking an experienced Tech Lead Frontend - React to lead our frontend development team. The ideal candidate will have at least 5 years of experience working with React.js, and will be responsible for designing, building, and maintaining web applications. As a Tech Lead, you will provide guidance, mentorship, and support to React developers while collaborating with cross-functional teams to ensure the success of projects. Key Responsibilities: Lead Development Team: Lead the front-end development team, offering mentorship and support to React developers. Design and Implementation: Design and implement high-quality React.js applications that ensure performance, scalability, and maintainability. Collaboration: Work with UI/UX designers, backend developers, and product managers to define the scope and requirements for new features and projects. Reusable Components and Libraries: Develop and maintain reusable components, libraries, and tools that can be shared across various projects. Ensure Code Quality: Implement best practices for coding, testing, and version control to maintain high-quality code. Code Reviews: Conduct code reviews to ensure code consistency, quality, and adherence to standards. Optimization: Optimize applications for speed, performance, and scalability. Stay Updated: Keep up-to-date with the latest industry trends, tools, and technologies and integrate them into the development process. Collaborate with DevOps & Backend Teams: Work closely with DevOps and backend teams to integrate RESTful APIs and other services. Troubleshooting and Debugging: Troubleshoot, debug, and resolve any technical issues during the development cycle. Testing: Implement unit testing, integration testing, and end-to-end testing to ensure the reliability of the code. Agile Environment: Lead and manage team activities within an Agile development environment, including participation in sprint planning, stand-ups, and retrospectives. Skills & Qualifications: Experience: At least 5 years of experience in front-end development with a focus on React.js. Technical Skills: Strong knowledge of JavaScript, ES6+, HTML5, and CSS3. Proficiency in React hooks, state management (Redux or Context API), and building complex components. Solid understanding of front-end architecture and design patterns. Familiarity with RESTful APIs and third-party services integration. Experience with front-end build tools like Webpack, Babel, and NPM. Version Control: Experience with Git and version control practices. Debugging & Tools: Proficient in using React Developer Tools and other debugging tools. Responsive Design: Strong understanding of cross-browser compatibility, web standards, and responsive design principles. Testing Frameworks: Experience with unit testing frameworks such as Jest, Mocha, or Enzyme. Agile Development: Familiarity with Agile methodologies (Scrum/Kanban). Problem Solving: Strong problem-solving skills with a keen attention to detail. Leadership: Excellent leadership and communication skills to effectively mentor junior developers and collaborate in a team setting. Preferred Qualifications: Server-Side Rendering: Experience with server-side rendering techniques for React applications. TypeScript: Familiarity with TypeScript for building robust applications. CI/CD Pipelines: Experience with CI/CD pipelines and automated deployment processes. Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. GraphQL: Familiarity with GraphQL and its integration with React. Performance Optimization: Experience with performance optimization techniques for React applications. Containerized Applications: Knowledge of Docker and containerized applications. Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Master s degree is a plus. Innovation and Growth: Be a part of a rapidly growing company that is at the forefront of digital product development and innovation. Global Impact: Work on products that make a significant impact on industries and millions of users globally. Collaborative Culture: Join a passionate and collaborative team of developers, designers, and product experts. Career Growth: Rapidops offers an environment for both personal and professional development, with opportunities to learn new technologies and grow your career. If you re an experienced React developer ready to take the next step in your career as a Tech Lead, we d love to hear from you! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field. Masters degree is a plus.

Job Title: Senior Software Engineer .NET Location: Ahmedabad Job Type: Permanent Education: Any IT Graduates Experience: 3-6 years Openings: 2 Roles & Responsibilities: We are looking for a highly skilled and motivated .NET Full Stack Developer to join our dynamic development team. As a Senior Software Engineer .NET, you will be responsible for building and maintaining robust, scalable, and high-performance web applications using .NET Core/ASP.NET MVC and Angular. You will work on both front-end and back-end components, ensuring seamless integration and a seamless user experience. Your responsibilities will include: Application Development & Maintenance: Design, develop, and maintain web applications using .NET Core, ASP.NET MVC, and Angular. Develop and implement server-side logic and APIs using .NET technologies. Build responsive and user-friendly interfaces using Angular, ensuring seamless cross-browser compatibility. Collaboration & Feature Implementation: Collaborate with cross-functional teams to define, design, and deliver new features for web applications. Translate user requirements into effective, scalable solutions while maintaining the highest quality standards. Code Quality & Optimization: Write clean, scalable, and efficient code that adheres to best practices and coding standards. Participate in code reviews to maintain code quality, consistency, and best practices across the team. Troubleshooting & Debugging: Troubleshoot, debug, and optimize applications to ensure the best possible performance and responsiveness. Ensure that applications are efficient, secure, and fully functional under various usage scenarios. Performance & Security: Optimize applications for speed, scalability, and user experience. Implement security and data protection measures to safeguard sensitive information and ensure compliance with relevant regulations. Continuous Improvement: Stay up to date with industry trends, technologies, and best practices to ensure the applications are modern, efficient, and secure. Contribute to the continuous improvement of the development process, including tools, frameworks, and methodologies. Skills Required: Technical Expertise: Proficiency in .NET Core, ASP.NET MVC, and Angular for both front-end and back-end development. Experience with Web API, RESTful services, and server-side logic development. Hands-on experience with HTML, CSS, JavaScript, and other front-end technologies. Familiarity with database management (SQL Server, MySQL, etc.) and ORMs like Entity Framework. Code Quality & Practices: Knowledge of version control systems, preferably Git. Experience with unit testing and test-driven development (TDD). Ability to write clean, maintainable code that follows industry best practices. Problem-Solving & Debugging: Strong analytical and problem-solving skills with the ability to troubleshoot complex application issues. Experience in performance tuning, optimization, and debugging. Soft Skills: Strong communication skills, with the ability to collaborate effectively with team members, business stakeholders, and clients. Ability to work independently and as part of a collaborative team in a fast-paced, agile environment. Additional Skills: Familiarity with DevOps practices, CI/CD pipelines, and cloud services (Azure, AWS, etc.) is a plus. Experience in implementing security measures and data protection strategies. Qualification : Any Graduate / Post Graduate

Job Description We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs), machine learning, data engineering, and product development. The ideal candidate will drive the development of intelligent, scalable, and ethical AI solutions while leveraging cutting-edge technologies to solve complex challenges. Required Qualifications Expertise in LLMs, machine learning, and data engineering. Knowledge of transformer architectures and deep learning models like CNNs and RNNs. Strong in Python and JavaScript; familiarity with C++ and Java is a plus. Experience with TensorFlow, PyTorch, and Keras for AI model development. Proficient in building scalable data pipelines and performing data preprocessing. Familiarity with AWS, Google Cloud, or Azure for scalable deployments. Understanding of CI/CD practices for automating AI workflows. Awareness of AI ethics, including bias mitigation and fairness principles. Strong analytical and problem-solving skills with adaptability to new technologies. Roles and Responsibilities Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG). Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras. Create scalable data pipelines using Apache Spark, Hadoop, and SQL. Conduct data preprocessing, including cleaning, transformation, and feature engineering. Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows. Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices. Develop generative models like GANs for synthetic data generation and analysis. Ensure ethical AI design by mitigating bias and promoting fairness. Troubleshoot and optimize AI systems for performance and scalability.

Job Description : Mandatory Skills: Shell scripting Azure DevOps Pipelines End-to-End Release Management CI/CD tools (Jenkins, Azure DevOps) SonarQube Terraform, Ansible, ARM templates Containerization (Docker, Kubernetes) Monitoring tools (Azure Monitor, Prometheus, Grafana) Azure permissions and user management Azure DevOps dashboards for KPIs and release status tracking Preferred Skills: DevOps practices Cloud Platforms (Azure, AWS, GCP) Version Control (Git, GitHub, GitLab) Infrastructure as Code (IaC) Role and Responsibilities: Develop and maintain CI/CD pipelines using Azure DevOps Oversee end-to-end release management, including deployment and rollback strategies Automate infrastructure provisioning using Terraform, Ansible, or ARM templates Manage Docker and Kubernetes containerized environments Implement DevOps practices and security in the CI/CD pipeline Build and manage Azure DevOps dashboards for key performance indicators and release statuses Oversee and manage Azure permissions, user access, and workflow configuration Managerial/Behavioral Skills: Strong collaboration and communication skills Ability to work effectively across development, QA, and operations teams Good troubleshooting and problem-solving abilities Project specific work requirements: Oversee full release management lifecycle Automate infrastructure provisioning Manage and monitor containerized environments Implement and manage Azure DevOps boards, user access, permissions, and workflows Collaborate with cross-functional teams to ensure smooth deployment and scaling

Role & Responsibilities We are seeking an Azure Data Engineer with strong expertise in Microsoft Azure services. The ideal candidate will have experience working in agile environments, handling overseas client communication, and managing end-to-end solutions ranging from development to deployment with a focus on security and performance. Key Responsibilities Communicate and collaborate with overseas clients to understand business requirements and provide technical solutions. Translate business needs into technical solutions while ensuring a comprehensive understanding of security, development, testing, and deployment processes. Work with GitHub and at least one Scrum-Agile tool to manage and track project progress. Primary Skills Azure Data Factory Azure Storage Accounts Azure SQL Database / SQL Managed Instance Azure Service Account Authentication Setup Azure App Registration Secondary Skills (Nice to Have) Azure Web Apps & Functions Azure Key Vault Azure Databricks Python Azure Data Migration Assistance Tool

Job Title: QA Tech Lead Blockchain & Cloud Technologies Location: Ahmedabad, India Experience Required: 1 to 10 Years About the Role As a QA Tech Lead, you ll play a pivotal role in driving product quality and team culture. You ll work closely with a dynamic and supportive team to deliver high-impact features using agile methodologies. This is a unique opportunity to be at the forefront of blockchain technology, cloud infrastructure, and data pipelines. Key Responsibilities Lead quality assurance efforts across multiple products and teams. Design and implement scalable QA strategies, automation frameworks, and test plans. Collaborate with cross-functional teams including developers, product managers, and DevOps. Contribute to the development of backend systems using Node.js, TypeScript, and Python. Design, develop, and maintain ETL pipelines for processing financial market data. Own product ideas from conception through delivery. Experiment with innovative solutions in a blockchain-first environment. Ensure continuous delivery and integration within a serverless AWS infrastructure. Tech Stack You'll Work With Languages & Frameworks: Node.js, JavaScript, TypeScript, Python Cloud & Infrastructure: AWS (Lambda, Fargate), Docker, Terraform Testing & QA: Puppeteer, Playwright, Cypress Databases: PostgreSQL, Snowflake Data & Messaging: Kafka, ETL pipelines Bonus Technologies: Rust, Solidity, Smart Contracts Requirements 8+ years of hands-on engineering experience. Strong command over distributed systems and microservices architecture. Proven experience running APIs (REST/GraphQL) in production environments. Expertise in server-side development with Node.js and Python. Proficiency in designing and executing QA processes and automation. Experience managing cloud-based applications on AWS. Familiarity with modern CI/CD pipelines and DevOps practices. Nice-to-Haves Experience with blockchain development, particularly Rust and Solidity. Knowledge of smart contract testing and deployment. Background in financial market data processing and analytics. Direct impact on product and engineering decisions. Work with cutting-edge technologies in a fast-growing blockchain ecosystem. Be part of a supportive, agile, and innovative team culture. Opportunity to take ownership of ideas and see them through to execution.

Sr. Software Engineer | AI & Cloud Technologies | Generative AI | NLP | Ahmedabad Location: Ahmedabad Reports to: Director, Software Engineering Experience: 5+ Years Tech Stack: Generative AI, NLP, Deep Learning, Cloud (AWS, Azure, GCP), Docker, Kubernetes, CI/CD About Conga At Conga, we are committed to creating a thriving environment where innovation, team growth, and open communication are at the heart of everything we do. We simplify complexity for our customers by aligning teams, processes, and technologies to deliver transformational revenue growth. Our mission is to optimize the Revenue Lifecycle Management process, helping businesses achieve sustainable growth and maximize customer lifetime value. Conga's approach to business is grounded in The Conga Way, a set of values shaped by direct input from our colleagues. Job Overview: Sr. Software Engineer - AI & Cloud Technologies As a Senior Software Engineer at Conga in Ahmedabad, you will play a critical role in building next-generation products focused on AI models, NLP, and cloud technologies. In this role, you ll serve as a subject matter expert in AI, building scalable systems that support Conga s Cloud Revenue Lifecycle Management platform. You will collaborate closely with cross-functional teams, ensuring your solutions meet business needs and drive the future of Conga's AI-powered products. Why It s a Big Deal Your contributions as a Senior Software Engineer will directly impact the development of scalable AI components and cloud-based solutions for Conga s product offerings. This role is ideal for someone passionate about building and deploying cutting-edge AI models, especially those utilizing Generative AI and NLP. You will have the chance to tackle complex challenges and create meaningful solutions that optimize critical business workflows for Conga s customers. Key Responsibilities: AI Model Development: Design, develop, and deploy Generative AI models, including Natural Language Processing (NLP) and Deep Learning models. Fine-tune LLMs (such as GPT-4, BERT, Llama) to meet specific business needs. AI Pipelines: Build and maintain RAG (Retrieval-Augmented Generation) pipelines, integrating external data with AI models to enhance document processing. Cloud & Deployment: Architect and deploy AI solutions within AWS or Azure cloud environments, leveraging Docker and Kubernetes for containerization and cloud deployment. Microservices Architecture: Design and develop reusable components, microservices, and APIs that enable seamless integration with other Conga products and platforms. Cross-functional Collaboration: Work closely with product managers, engineers, and stakeholders to translate business requirements into technical solutions. Communicate complex technical concepts effectively to all stakeholders. Agile Development: Participate in Agile sprints and collaborate with team members to ensure successful project delivery, from initial concept to deployment. Qualifications: 5+ years of experience in developing AI models, including NLP, Generative AI, and Deep Learning. Hands-on experience with LLMs such as GPT-4, BERT, Llama, with practical experience in fine-tuning and deploying these models for business use cases. Experience in building and maintaining RAG pipelines for enhancing document and data analysis capabilities. Proficiency with cloud technologies (AWS, Azure, GCP) and understanding of cloud architecture and cloud design patterns. Expertise in containerization tools (Docker, Kubernetes) and CI/CD pipelines. Strong knowledge of microservices and API development. Bachelor's degree in Engineering or related field (advanced degrees are a plus). What Will Give You an Edge: Effective Communication: You excel at initiating and driving discussions, translating complex AI solutions into actionable business value. Proactive & Entrepreneurial: You take the initiative to propose new projects that improve team performance and solve complex challenges. Passionate Problem Solver: Self-driven, you enjoy solving complex technical challenges and are dedicated to delivering high-quality, scalable solutions. Mentorship: You will be a mentor for junior engineers, helping them grow and fostering a collaborative, innovative environment. What We Offer: Dynamic and inclusive culture where innovation is encouraged and every voice matters. Opportunities to work with cutting-edge technologies like Generative AI, NLP, and Cloud computing. Agile development environment that values creativity and technical expertise. Collaborative work culture where you can contribute ideas and solve impactful business problems. Qualification : Bachelor's degree in Engineering or related field (advanced degrees are a plus).

Position: AI/ML Python Developer Job Overview: We are seeking an experienced AI/ML Python Developer to join our dynamic team. In this role, you will leverage cutting-edge technologies to build and deploy machine learning models, contribute to innovative projects, and work with large language models (LLMs) and retrieval-augmented generation (RAG) systems. Key Responsibilities: Develop and optimize machine learning models using Python, ensuring high performance and accuracy. Utilize frameworks like TensorFlow and PyTorch for model training, evaluation, and deployment. Process and analyze data using tools such as scikit-learn, NumPy, and pandas to build robust data pipelines. Implement natural language processing techniques, including text preprocessing, tokenization, and embeddings. Work with large language models such as GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering. Build and manage RAG pipelines with vector databases such as FAISS, Pinecone, or Chroma. Develop multi-agent systems using frameworks like LangChain, LangGraph, or CrewAI. Design and implement APIs for seamless model deployment using FastAPI, Flask, or Django. Collaborate effectively using Git/GitHub for version control and to ensure efficient team workflows. Contribute to the development, training, and deployment of models using Hugging Face tools. Work with both SQL and NoSQL databases to handle and preprocess large datasets. Required Skills & Experience: Proficiency in Python, especially for AI/ML model development. Experience with machine learning and deep learning frameworks, particularly TensorFlow and PyTorch. Strong understanding of data science concepts and tools like scikit-learn, NumPy, and pandas. Expertise in Natural Language Processing (NLP) techniques, including text preprocessing and embeddings. Familiarity with transformer models such as GPT, BERT, T5, and LLaMA, along with fine-tuning and prompt engineering. Experience with Retrieval-Augmented Generation (RAG) and vector databases like FAISS, Pinecone, or Chroma. Knowledge of multi-agent systems and frameworks such as LangChain, LangGraph, or CrewAI. Strong skills in API development using FastAPI, Flask, or Django. Solid understanding of version control using Git/GitHub. Hands-on experience with Hugging Face for model training and deployment. Location: Ahmedabad, Gujarat, India (Ognaj, eInfochips) Employment Type: Full-time Job Category: Engineering Services