CI CD 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: 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.

Job Title: QA Engineer Required Experience: 1-3 Years Job Location: Ahmedabad/Pune Educational Qualifications: UG: B.E/B.Tech PG: MCA/MSc IT Job Description: We are seeking a skilled and detail-oriented QA Engineer to join our Quality Assurance team. The ideal candidate will play a critical role in ensuring the quality of our software applications through both manual and automated testing. If you are passionate about quality, have a keen eye for detail, and enjoy working in a collaborative environment, we d love to hear from you. Key Responsibilities: Manual & Automated Testing: Execute both manual and automated test cases to identify defects and ensure software quality across different platforms. Collaboration with Development Teams: Work closely with the development team to understand project requirements, functionality, and user stories. Bug Tracking & Reporting: Identify, document, and report defects using issue-tracking tools (e.g., Jira). Test Documentation: Assist in the development and maintenance of test plans, test cases, and test scripts for effective testing coverage. Testing Types: Conduct various types of testing including functional, regression, performance, system integration, and usability testing. Agile Processes: Actively participate in Agile processes such as sprint planning, daily stand-ups, and other collaborative meetings. Compliance & Standards: Ensure compliance with company standards, industry best practices, and quality guidelines. Customer Issue Troubleshooting: Support troubleshooting by reproducing and analyzing customer-reported issues to identify root causes. Automation Testing: Learn and implement automation testing tools under the guidance of senior QA engineers. Cross-Technology Testing: Conduct testing across multiple technology components, including web applications, REST APIs, and databases. Technologies & Platforms: Web Applications REST API Testing Databases: Familiarity with MongoDB, PostgreSQL, or other SQL/No-SQL databases. Operating Systems: Hands-on experience with Windows and Linux environments. Required Skills: Basic Understanding: Software testing methodologies, SDLC (Software Development Life Cycle), and STLC (Software Testing Life Cycle). Test Management Tools: Familiarity with tools like TestRail or Zephyr for test case management. Issue Tracking: Experience using issue-tracking software such as Jira or Bugzilla. Programming/Scripting Knowledge: Knowledge of Python, Java, or JavaScript. Automation Tools: Experience or familiarity with automation testing tools such as Selenium, Cypress, Robot Framework, or Playwright. Analytical & Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve issues effectively. Communication & Teamwork: Strong verbal and written communication skills with a collaborative mindset. Test Case Creation: Experience in creating and executing functional, system, and integration test cases. Good to Have: Experience working with cloud-ready applications and testing in cloud environments.

Job Title: QA (Automation Engineer) Location: Ahmedabad, India Job Type: Full Time Job Overview: We are looking for a QA Automation Engineer with 2 to 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in automation testing, a passion for improving software quality, and the ability to design and implement automated test solutions. You will collaborate with cross-functional teams to ensure our products meet high-quality standards through robust automated testing practices. Key Responsibilities: Automated Test Development: Design, develop, and execute automated test scripts for web, mobile, and API testing to ensure product quality. Develop and maintain test automation frameworks using popular tools like Selenium, Appium, or Cypress. Collaboration: Work closely with developers, product managers, and manual QA teams to understand project requirements and create relevant test plans. Testing: Perform various types of testing including functional, regression, performance, and load testing to ensure comprehensive coverage. Conduct API testing using tools like Postman, REST Assured, or similar platforms. Bug Tracking: Identify, document, and track defects using JIRA, Bugzilla, or similar defect tracking tools. CI/CD Integration: Integrate test automation with CI/CD pipelines (e.g., Jenkins, GitHub Actions, or similar). Test Analysis: Analyze test results, troubleshoot test failures, and work to continuously improve testing strategies. Ensure comprehensive test coverage by maintaining and updating test cases, test scripts, and test documentation. Reporting: Provide regular quality assurance reports and contribute insights to enhance overall product quality. Required Skills & Qualifications: Experience: 2 to 5 years of experience in automation testing within the IT industry. Test Automation Tools: Strong knowledge of Selenium WebDriver, Appium, or Cypress for automation. Programming Languages: Hands-on experience with programming languages like Java, Python, or JavaScript. API Testing: Experience in API testing using tools like Postman, REST Assured, or similar tools. Test Automation Frameworks: Familiarity with test automation frameworks such as TestNG, JUnit, or Cucumber. CI/CD Tools: Working knowledge of CI/CD tools like Jenkins, GitHub Actions, or similar. Database Validation: Good understanding of SQL for database validation. Skills: Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Why Join Us: Innovative Work: You'll be part of a team responsible for developing and executing robust test automation solutions that enhance the software development lifecycle. Career Growth: Opportunities for career development and expanding your knowledge in test automation, CI/CD processes, and various automation tools. Collaborative Environment: Work alongside a skilled team of developers, product managers, and QA professionals in an agile development environment. Impactful Projects: Contribute directly to ensuring the quality of software that impacts millions of users globally. If you are passionate about automation testing, continuously improving software quality, and collaborating with a dynamic team, we d love to hear from you!

KEY RESPONSIBILITIES: Manual & Automated Testing for Projects Flow & Functionalities. Write test plans from the requirements, specifications, and test strategies. Debugging and determining the root cause. Planning, authoring, debugging and executing performance tests. Web Application/Mobile Application Testing is required. Prompt identification and escalation of defects; working with cross-site and cross-functional product teams to isolate problems, and tracking the issues to complete resolution. Strong root cause analysis experience. Strong understanding of QA processes and concepts including test case preparation, and testing methodologies. Use versioning systems to code test scripts. Create and perform test campaign whenever it is necessary to fit in the overall planning. Use bug tracking database to report bugs. Analyses test results. Raise an alert when an important issue is likely to put in jeopardy the whole project. Strong oral and written communication skills are essential. Ability to work collaboratively within a team environment of other engineers to meet aggressive goals and high-quality standards. Benefits: Our employees are enjoying a 5-day workweek. Our employees are entitled to 18 days' annual paid leaves. Our employees are entitled to 10 Public Holidays. Encashing paid leave in each year. We always have a birthday bash for each employee. We never miss any chance to enjoy special occasions like Diwali or Holi.

Job Title: QA Automation Engineer Position Overview: As a QA Automation Engineer, you will be responsible for writing scripts and creating automation environments to perform repeated tests. Utilizing various automation tools, you will design, test, and deploy effective automation solutions to minimize manual testing efforts while ensuring comprehensive test coverage. Key Responsibilities Develop and design automated test strategies for functional, non-functional, and performance testing to increase coverage and reduce overall testing cycle times. Understand and analyze the Application Under Test (AUT) in terms of object identification and requirements. Create test scenarios and collect necessary test data. Identify end-to-end test scenarios and ensure code modularity. Develop and enhance test automation resources such as function libraries. Write and maintain test cases (test scripts) using element locators, WebDriver methods, JavaScript programming concepts, and TestNG annotations. Maintain and update automation resources regularly to ensure stability and scalability. Create performance tests using tools like LoadRunner. Develop and implement an automation framework for API tests. Debug and run automated tests, ensuring proper execution and identifying failures. Analyze test results and report on issues found during automated testing. Provide detailed test reports and contribute to the improvement of testing procedures. Qualifications 1+ years of experience in test automation using Cypress. Good knowledge of web environments, web elements, and operations on web elements. Basic understanding of functional and regression test automation methodologies. Proficiency in Cypress tools for web test automation. Strong knowledge of JavaScript programming (data types, variables, operators, flow control statements, methods, exception handling, file handling, Excel operations, database operations, and OOP concepts). Experience with TestNG or other supported testing frameworks for grouping test cases, prioritizing, executing test batches, and generating test results. Familiarity with Maven and Git for build and version control. Experience in creating performance tests using LoadRunner. Understanding of test automation framework implementation and design. Strong aptitude for learning new technologies and tools.

Job Title: Quality Assurance Engineer (Manual Testing) Position Overview: We are seeking a dedicated Quality Assurance Engineer to focus on manual testing of our client's software products. The primary responsibility will be to ensure that the software meets both development and business requirements, while also providing a user-friendly experience. The role involves conducting tests to validate new feature enhancements and performing regression testing for the overall application. The candidate should be comfortable making decisions independently and working effectively within a small, dynamic team where each contribution is valued. Primary Responsibilities Analyze requirements and acceptance criteria for new features and software enhancements. Configure the test environment to execute necessary test cases. Conduct review meetings to share test case statuses, discuss concerns and risk items, and ensure alignment with the team. Define, execute, and analyze test cases, collaborating with the team to validate acceptance criteria. Track defects and bugs using the client s defect tracking system, monitor resolution progress, and validate resolutions once completed. Effectively communicate with stakeholders, including QA Managers and Scrum Masters, both verbally and in writing. Work efficiently under pressure to meet deadlines and deliver quality results. Prioritize tasks and demonstrate flexibility in a fast-paced work environment. Manual Testing Deliverables Test plans and test cases. Comprehensive documentation and reporting of identified bugs. Test data for various test cases. Test scenarios and configurations. Required Experience Degree in Computer Software or related fields, or 5+ years of relevant work experience. 3+ years of experience in software testing, including functional and regression testing. Experience with Windows, iOS, and mobile apps testing. Experience with cross-browser testing and responsiveness testing. Familiarity with multiple operating systems such as Windows, OS X, iOS, and Android. Experience with software development lifecycle tools, such as Jira, DevOps Azure, and Zephyr (test case management). Experience in user acceptance testing and user experience testing. Experience with bug verification testing and tracking. Preferred Experience Knowledge of continuous integration (CI) and continuous delivery (CD) practices is a plus. Qualification : Degree in Computer Software or related fields

Description We are looking for DevOps Architect to join our engineering team in Ahmedabad & Pune. The primary responsibility will be to help design and develop Enterprise Software for our Global Fortune 500 clients in Data Analytics, Security and Cloud segments. The job requires candidates who can architect and design Infrastructure on cloud technologies such as Azure/AWS and DevOps procedures. Responsibilities Responsible for providing expertise in software development life cycle, from concept, architecture, design, implementation, & testing. Leading & mentoring small sized team. Ensuring the code reviews & development best practices / processes to be followed. Be part of regular client communication. Estimates efforts , identify risks & provide technical support whenever needed. Ensures effective people management (performance reviews & feedback at very minimal level) & task management for smooth execution. Demonstrates ability to multitask & re-prioritize responsibilities based on dynamic requirements. Requirements 6+ years of relevant experience in DevOps architecture. Can architect and design Infrastructure (Azure/AWS) and DevOps procedures and implement it Should possess in depth knowledge of Cloud Technologies - Azure/AWS Strong Hands-on working experience on DevOps technologies like CD/CI, infrastructure automation, Infrastructure as a code, containerization, and orchestration. Tools like Jenkins, Ansible, Puppet, Chef, Docker, Kubernetes, etc. 4+ years of experience in managing Linux based infrastructure Good understanding of networking & cloud security. Hands-on working experience on Web Servers like Apache, Nginx, Tomcat Scripting knowledge like Shell, bash, python, Perl Working experience on clusters and high Availability solution Good understanding of Java and Python Applications implementation Working experience on Databases like MySQL, PostgreSQL, MongoDB, etc. Very good understanding and logical skills Can work independently and with Team Problem-solving attitude Strong verbal and written communication skills Operational experience and Azure/AWS Cloud Certification will be good to have Qualification : 6+ years of relevant experience in DevOps architecture.

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: DevOps Engineer Location: Ahmedabad Education Qualification: B.E./B.Tech/MCA/M.E./M.Tech Company Profile: Media NV was established in 2014 and is headquartered in North America as a multinational company with offices in Ahmedabad and Chandigarh. At Media NV, we treat our employees like family. Our core focus is on growing your business because your success drives our growth. Our passionate and driven team combines creativity, technology, and marketing to fully integrate your business into the online world, providing ample opportunity for brand expansion. Whether you require local or outsourced services, we align our goals with yours and deliver maximum value. Role Overview: As a DevOps Engineer at Media NV, you will play a critical role in improving our customer experience by building and maintaining efficient, secure, and scalable infrastructure. You will collaborate closely with developers and engineers to deploy product updates, troubleshoot production issues, automate processes, and ensure reliable software delivery. You will also be involved in project planning and management decisions to help drive the success of our projects. Key Responsibilities: Build and implement development tools and infrastructure to enhance deployment and release processes. Automate and improve development workflows and system maintenance. Deploy updates, fixes, and provide Level 2 technical support. Develop integration software for internal backend systems. Conduct root cause analysis for production issues and implement solutions. Create scripts for automation and visualization of processes. Design troubleshooting and maintenance procedures. Monitor server performance and logs to minimize downtime and ensure system reliability. Ensure security of systems against cybersecurity threats. Collaborate with software engineers to maintain development best practices and quality standards. Manage both local and cloud infrastructure environments. Required Skills and Qualifications: Proven experience as a DevOps Engineer or similar software engineering role. Proficiency with Git and GitHub workflows. Basic knowledge of JavaScript frameworks and deployment processes. Working knowledge of SQL and NoSQL databases. Strong problem-solving skills and a proactive attitude. Familiarity with software development and deployment life cycle. Competitive salary with guaranteed incremental increases. 5-day work week (Monday to Friday). No sandwich leave policy. Comprehensive health insurance benefits. Regular team gatherings and outings. Supportive and growth-oriented work environment. Generous leave policy. Excellent platform for continuous learning and career development. Recognition and rewards for your contributions. Apply now and be a part of a passionate team that values your skills and helps you grow! Qualification : B.E./B.Tech/MCA/M.E./M.Tech

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Quality Analyst Location: Ahmedabad Job Overview: We are looking for a dedicated Quality Analyst to join our team. This role is responsible for ensuring the quality of our applications by following written procedures and inspection criteria. The ideal candidate will have a keen eye for detail, excellent communication skills, and a passion for problem-solving. You will be involved in the creation and execution of test plans and test cases, ensuring that the final product meets functional and design specifications. Primary Responsibilities: Test Plan Development & Test Case Design: Identify test requirements from specifications and design a test coverage plan. Develop, document, and maintain functional test cases and other test artifacts, such as test data, data validation, harness scripts, and automated scripts. Ensure that all test cases meet the specifications and align with coding standards. Test Execution & Reporting: Execute tests and deliver timely QA reports with detailed findings. Focus on meeting deadlines and delivering high-quality tests, ensuring quick identification of defects and bugs. Review & Collaboration: Hold and facilitate test plan/case reviews with cross-functional team members to ensure the quality of the product. Work closely with development, project management, and customer support teams to facilitate smooth testing processes. Ensure Compliance with Specifications: Validate that all deliverables meet functional and design specifications and requirements. Liaise with the development team to communicate bugs and issues found during testing. Problem Solving: Apply creative and technical problem-solving skills to translate requirements into effective test plans. Identify and resolve issues that arise during testing and help improve the product's overall quality. Experience Requirements: Test Case Development & Test Planning: Experience in identifying test requirements from specifications, designing test coverage plans, and developing detailed test cases. Functional Testing & Documentation: Proven ability to document and maintain functional test cases and other necessary test artifacts like test data, harness scripts, and automated scripts. Collaboration & Communication Skills: Strong verbal and written communication skills to ensure clear documentation of test plans, test cases, and bug reports. Comfortable liaising with cross-functional teams, including developers, project managers, and customer support. Problem Solving & Technical Skills: Ability to creatively solve technical problems, ensuring that testing efforts are aligned with product requirements and functionality. Attention to Detail & Focus on Deadlines: Ability to find defects quickly and ensure that deadlines for test execution and reporting are met. Qualifications: Bachelor's degree in Computer Science or a related field, or equivalent experience. Previous experience in a Quality Analyst or Software Testing role. Strong understanding of test case development, test plans, and functional testing. Experience with automated testing scripts and test data management is a plus. Excellent problem-solving and analytical skills. If you have a strong passion for quality assurance and enjoy working in a collaborative environment, we encourage you to apply for this opportunity to ensure the success of our product testing efforts. Qualification : Bachelor's degree in Computer Science or a related field, or equivalent experience.

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 "

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

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: AI/ML Engineer Location: Ahmedabad, India Job Type: Full-time Job Overview: As a progressive company deeply invested in artificial intelligence, we hold innovation as a guiding principle. In line with our commitment to advancing this domain, we're searching for a seasoned Machine Learning Engineer to refine our existing systems and architect new AI models. This role will involve a rich blend of tasks, including collaborating intensively with stakeholders and domain specialists to help develop AI models capable of tackling intricate business problems. Key Responsibilities: Collaborate with Cross-functional Teams: Work closely with domain experts, data scientists, and software engineers to develop and implement machine learning models and algorithms that solve business problems. Data Analysis and Insights: Analyze large, complex datasets to extract actionable insights, identify patterns, and improve the performance of machine learning models. ML Pipeline Development: Develop and maintain end-to-end machine learning pipelines, including data preprocessing, feature extraction, model training, and evaluation. Model Deployment and Monitoring: Deploy machine learning models into production environments, monitor their performance, and ensure their continued effectiveness. Stay Current with Advancements: Keep up to date with the latest industry advancements in machine learning and artificial intelligence. Apply relevant techniques and technologies to continuously improve existing models and systems. Contribute to Best Practices: Contribute to the development of best practices, guidelines, and standards for machine learning engineering within the organization. Write Clean Code: Maintain high-quality, maintainable, and efficient code that adheres to industry best practices. Required Qualifications: Education: Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence. Experience: 3+ years of experience as a Machine Learning Engineer or in a similar role. Programming Skills: Advanced skills in programming languages such as Python, Rust, and related frameworks. Machine Learning Frameworks: Hands-on experience with machine learning frameworks such as PyTorch and libraries like NumPy, Pandas, or Keras. Problem-Solving: Excellent problem-solving and analytical skills, with the ability to approach complex challenges with a clear and effective strategy. Collaboration and Communication: Strong communication and collaboration abilities, with the capacity to work well in cross-functional teams. Independence: Ability to work independently when needed, demonstrating initiative and accountability. Preferred Qualifications: Microservices and Containerization: Experience with microservices architecture, Docker, Kubernetes, and Linux. Big Data Tools: Experience with big data processing tools (e.g., Hadoop, Spark) and data storage systems (e.g., SQL, NoSQL). Technical Design Skills: Demonstrated technical design, problem-solving, coding, and debugging skills. Distributed Systems: Experience with distributed systems design and implementation. Innovation: Be part of a team that is shaping the future of artificial intelligence. Career Growth: Continuous learning and growth opportunities in the AI/ML domain. Impact: Work on real-world projects that drive meaningful business outcomes. Dynamic Environment: Thrive in a fast-paced, innovative environment that encourages creativity and collaboration. If you are passionate about AI/ML, have the skills to develop cutting-edge solutions, and are eager to work with a talented team, we d love to have you onboard at Rapidops! Qualification : Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence.