Cloud Analytics Jobs in Ahmedabad

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: AI/ML Developer Experience: 2-3 Years Positions: 2 Location: Rajkot, Gujarat Job Type: Full-Time Job Overview: We are looking for skilled and motivated AI/ML Developers with 2-3 years of experience to join our innovative team in Rajkot. The ideal candidates will have a strong background in building AI and machine learning solutions, leveraging deep learning, natural language processing, and generative AI technologies to drive business value and product excellence. Key Responsibilities: Develop and deploy AI/ML models using programming languages like Python, C++, R, or Scala. Build and optimize machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, nltk, transformers, and LangChain. Apply deep learning, computer vision, NLP, and generative AI techniques to solve complex problems. Work with Large Language Models (LLMs) including training on custom datasets and integrating third-party APIs like OpenAI API. Perform data preprocessing, feature engineering, exploratory data analysis (EDA), model selection, hyperparameter tuning, and model evaluation. Analyze and visualize data, creating dashboards and visual aids to support decision-making. Utilize SQL and NoSQL databases such as MySQL, PostgreSQL, and MongoDB for data storage and retrieval. Collaborate with cross-functional teams in an Agile environment and adopt DevOps practices for continuous integration and deployment. Stay updated with emerging AI/ML trends and technologies, implementing them into products and services. Communicate technical concepts effectively to stakeholders. Participate in designing scalable AI/ML solutions and contribute to the overall architecture. Bonus skills: Experience with Python web frameworks (Django, Flask, FastAPI), ML Ops, and cloud platforms. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields. Minimum 2 years of professional experience in AI/ML development. Strong programming skills in Python, C++, R, or Scala. Hands-on experience with machine learning libraries and frameworks. Solid understanding of machine learning algorithms: supervised, unsupervised, and reinforcement learning. Knowledge of LLMs, generative AI models, and integration of AI APIs. Experience in data preprocessing, feature engineering, model tuning, and evaluation. Good grasp of SQL and NoSQL databases. Strong analytical, problem-solving, and communication skills. Experience with Agile methodologies and DevOps is a plus. Personal Attributes: Eager learner with a passion for AI/ML innovations. Proactive, self-motivated, and able to work independently or as part of a team. Excellent collaboration and stakeholder management skills. Opportunity to work on cutting-edge AI/ML projects. Collaborative work environment in Rajkot fostering innovation. Continuous learning and professional growth opportunities. Apply now to be part of our AI-driven future and contribute to building intelligent solutions that make an impact! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.

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.

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.

Senior Software Engineer Frontend & Backend | .NET Core | React | Kubernetes | Ahmedabad Location: Ahmedabad Department: Software Engineering Reports To: Senior Manager, Software Engineering Experience: 5+ Years Tech Stack: HTML5, CSS3, JavaScript, React, C#, SQL, Docker, Kubernetes, Microservices About Conga At Conga, we ve built a community where our colleagues thrive by innovating, growing through individual and team development, and contributing to an inclusive environment where all voices are heard. We simplify the increasingly complex world of business with our revenue lifecycle management solution. By providing a unified data model, we transform the complexities of order configuration, execution, fulfillment, and contract renewal, helping businesses achieve operational efficiency and revenue growth. Our mission is to empower customers to deliver transformational revenue growth by aligning teams, processes, and technology to maximize customer lifetime value. Our approach is grounded in the Conga Way, a framework that guides our decisions, culture, and product development. Job Overview: Senior Software Engineer As a Senior Software Engineer at Conga, you will be pivotal in building next-generation Conga products. This role offers the opportunity to work across the full technology stack, from front-end to back-end, while collaborating with talented developers and cross-functional teams. We re looking for problem-solvers who thrive in a fast-paced, dynamic environment and are passionate about continuously learning new technologies. As part of the engineering team, your contributions will directly impact product development and the technical evolution of Conga s platform. You will play a key role in maintaining and improving both the front-end and back-end of our applications, ensuring that the products are scalable, secure, and performance-optimized. This position offers the chance to work on the latest technologies in a rewarding and dynamic environment. Key Responsibilities: Front-end Development: Develop dynamic and interactive user interfaces using HTML5, CSS3, JavaScript, and React.js. Back-end Development: Work with C#, SQL, and API design patterns to ensure seamless back-end functionality. Containerization & Cloud: Leverage Docker and Kubernetes for containerization and ensure smooth deployment pipelines. Microservices: Work with Microservices architecture to enhance scalability and maintainability. Collaboration Tools: Use tools like GitHub, Jira, and Microsoft Teams for version control and cross-team collaboration. Mentorship: Lead and mentor junior developers, ensuring high code quality, best practices, and the sharing of knowledge across the team. Qualifications: 5+ years of experience in front-end development using HTML5, CSS3, JavaScript, and React.js. Experience with container-based platforms like Docker and Kubernetes. Backend technologies experience in C#, SQL, and familiarity with API design patterns. A strong understanding of microservices and the ability to design scalable applications. Bachelor s degree in Engineering or a related field. Knowledge of source control tools like GitHub, and experience with Jira for project management. What Sets You Apart: Passionate Coder: Self-driven, proactive, and passionate about solving complex problems across various technologies. You focus on coding best practices and development processes. Effective Communicator: Strong interpersonal skills with the ability to initiate and engage in collaborative discussions, adapting to different communication styles. Creative Problem Solver: Analytical thinker capable of identifying creative solutions to complex business challenges, with a focus on delivering customer-centric results. Deadline-Driven: Proven ability to work independently, meet deadlines, and exceed goals with minimal supervision. What We Offer: An inclusive, collaborative culture that encourages professional growth. Opportunities to work with cutting-edge technologies like React, .NET Core, Kubernetes, and Microservices. A chance to solve complex problems that impact global customers. A dynamic and fast-paced work environment where you can thrive. Qualification : Bachelors degree in Engineering or a related field.

AI Developer Key Responsibilities: AI Development & Integration: Develop and enhance AI-driven solutions using platforms such as Claude.ai, Perplexity.ai, and other Anthropics-powered tools. Integrate AI features into EdTech platforms, supporting personalized learning, adaptive content, and intelligent tutoring systems. EdTech Solutions Development: Design AI applications tailored for the education sector, including virtual tutors, automated assessments, and recommendation engines. Collaborate with educators and curriculum designers to align AI functionalities with educational objectives. Model Training & Fine-Tuning: Train and fine-tune large language models (LLMs) to ensure they meet the specific needs of the education sector. Apply transfer learning to adapt general-purpose models for educational applications. AI Tool Utilization: Utilize Claude.ai, Perplexity.ai, and other emerging Anthropics technologies to develop interactive learning solutions and data-driven insights. Experiment with new AI features to continuously enhance platform capabilities. Research & Innovation: Stay updated on AI and EdTech trends to implement cutting-edge solutions. Conduct research to identify how advanced AI tools can address educational challenges and improve learning outcomes. Collaboration & Stakeholder Engagement: Work closely with product managers, UX designers, and other development teams to deliver AI-powered features for EdTech platforms. Communicate complex AI concepts to both technical and non-technical stakeholders in a clear and concise manner. Requirements: Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus. Technical Skills: Extensive experience with Claude.ai, Perplexity.ai, and other Anthropics systems. Strong proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, and Hugging Face. Solid understanding of natural language processing (NLP), transformer-based models, and large language models (LLMs). Experience with API integrations and deploying AI/ML models in production environments. EdTech Experience: Proven track record of developing AI solutions for educational platforms. Familiarity with challenges in EdTech, including data privacy (e.g., FERPA, GDPR), accessibility, and scalability. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to explain AI concepts to both technical and non-technical audiences. Collaborative mindset with a passion for leveraging AI to improve education. Preferred Experience: Experience with adaptive learning systems, gamification, or AI-powered chatbots in education. Familiarity with cloud platforms such as AWS, GCP, or Azure. Experience working on projects that involve real-time AI integrations. Qualification : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus.

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: AI/ML Developer Experience: 2-3 Years Positions Available: 02 Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Key Responsibilities: Develop and deploy AI/ML solutions, leveraging expertise in machine learning, deep learning, and generative AI. Design, implement, and optimize models using popular libraries like TensorFlow, PyTorch, scikit-learn, and others. Apply deep learning, computer vision, NLP, and reinforcement learning techniques to real-world problems. Work with Large Language Models (LLMs), including training custom models and integrating third-party LLM APIs like OpenAI. Conduct data preprocessing, feature engineering, exploratory data analysis (EDA), and model tuning to ensure high-quality results. Analyze complex data sets, create visualizations, and leverage statistical techniques to guide decision-making. Collaborate effectively with cross-functional teams and stakeholders to ensure successful project delivery. Continuously stay up-to-date with emerging technologies, implementing them to enhance products and services. Contribute to an Agile development environment with familiarity in DevOps practices for CI/CD. Skills & Qualifications: Experience: At least 2 years of hands-on experience in AI/ML development with a proven track record of successful project delivery. Technical Skills: Proficiency in Python, C++, R, or Scala. Strong foundation in machine learning and deep learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, OpenCV, and others. Experience in working with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiar with API frameworks like Django, Flask, and FastAPI (a plus). Key Areas of Expertise: Data preprocessing, feature engineering, model evaluation, and optimization. Experience with LLMs and integrations with third-party APIs like OpenAI. Ability to work with cloud platforms and ML Ops is a plus. Personal Attributes: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Proactive, self-motivated, and eager to learn new technologies. Comfortable working both independently and as part of a team. Additional Pluses: Familiarity with Agile methodologies and DevOps practices. Knowledge in data visualization tools and techniques is an advantage. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Job Title: AWS DevOps Engineer Experience Required: 1-3 Years Job Location: Ahmedabad/Pune Educational Qualifications: UG: BE/BTech (CE, IT, EC, EEE) PG: MCA/MSC IT Job Description: We are looking for a talented AWS DevOps Engineer to join our dynamic team. The ideal candidate will play a crucial role in designing, developing, and deploying robust applications using AWS cloud technologies. You will work closely with the development and operations teams to ensure seamless integration, automation, and efficient cloud infrastructure management. Key Responsibilities: AWS Expertise: Hands-on experience with a wide range of AWS services including IAM, VPC, EC2, RDS, CloudFront, ECR, ECS, EKS, Lambda, CodeBuild, CodeCommit, CloudTrail, and CloudWatch. Serverless & Microservices: Proficiency in building and deploying serverless applications and microservice architectures. Infrastructure as Code: Experience with CloudFormation and Terraform, creating reusable, module-based code for resource provisioning. CI/CD Pipelines: Design, implement, and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Jenkins, GitHub Actions, and other build management tools. Build Management: Proficiency in creating build artifacts using tools like Maven, Gradle, npm, etc. Cloud Infrastructure Management: Hands-on experience managing cloud-based infrastructure (AWS), ensuring scalability and security. Containerization & Orchestration: Expertise in Docker and container orchestration tools like AWS ECS, EKS, and Kubernetes. Monitoring & Analytics: Monitor platform capacity and health, providing analytics and forecasts for resource scaling. Version Control: Solid experience with Git and GitHub for version control. Automation & Scripting: Ability to automate tasks using scripting languages like Bash or Python. Troubleshooting & Logging: Proficient in logging, troubleshooting, and optimizing deployment pipelines for efficient operations. Key Requirements: Proven experience as a DevOps Engineer with a focus on AWS cloud technologies. Strong expertise in designing and implementing CI/CD pipelines to streamline development and deployment processes. In-depth knowledge of AWS security best practices and ability to implement them in the AWS environment. Strong problem-solving skills, with the ability to diagnose and troubleshoot issues in complex, distributed systems. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams. Hands-on experience with logging and troubleshooting deployment pipelines. Nice to Have: AWS Certifications such as AWS Certified Solutions Architect Associate, AWS Certified Developer Associate, or AWS Certified Cloud Practitioner. Understanding of AI/ML concepts. Familiarity with logging and monitoring tools like ELK Stack and Grafana. Experience with SonarQube for continuous code quality inspection.

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: .NET Developer Required Experience: 1.5-4 Years Job Location: Ahmedabad Required Educational Qualification: UG: BE/BTech PG: MCA/MSc IT Job Description: We are looking for a talented .NET Developer to join our growing team. The ideal candidate will play a crucial role in designing, developing, and deploying robust applications while leveraging cloud technologies. This role requires a strong background in .NET development, a problem-solving mindset, and an eagerness to work in a collaborative, fast-paced environment. Key Responsibilities: Code Development: Write clean, scalable, and efficient code, adhering to industry best practices. Debugging & Optimization: Identify and resolve application issues and performance bottlenecks. Unit Testing: Conduct unit testing to ensure code reliability and achieve standard code coverage. Microservices: Design and develop middleware solutions following microservices patterns. CI/CD Integration: Implement and enhance continuous integration processes to streamline development workflows. API Development: Develop and maintain APIs for both internal and external consumption. Database Integration: Work with relational databases like SQL Server or Azure SQL and integrate data storage solutions effectively. Code Reviews: Collaborate in code reviews, providing constructive feedback to improve code quality. Development Tools: Utilize tools such as Visual Studio, Visual Studio Code, SQL Server Management Studio, and Postman for efficient development. Required Skills: Proficiency in .NET development, including experience with C# and .NET Core. Familiarity with RESTful APIs and web services. Experience with version control systems (e.g., Git). Strong problem-solving and analytical skills. Solid understanding of software development principles and practices. Good to Have: Knowledge of Azure Cloud services for cloud-based application development. Experience with serverless computing solutions on Azure or other cloud platforms. Familiarity with Azure DevOps for project management and continuous delivery. Understanding of AI/ML concepts and their integration into software development processes.

Job Title: Solution Engineer (Sales) Location: Ahmedabad, India Job Type: Full-time About the Role: As a Sales Solution Engineer for the Experro platform, you will be a key technical liaison between our Sales team and prospective customers. You ll leverage your in-depth product knowledge, industry expertise, and consultative approach to demonstrate how Experro s solutions can meet the unique business and technical requirements of enterprise clients. Partnering closely with Account Executives, you will lead product demonstrations, craft tailored solutions, guide prospects through proof-of-concept engagements, and play a central role in driving platform adoption and revenue growth. Key Responsibilities: Technical Pre-Sales Support: Collaborate with Sales Executives to understand customer needs, present tailored solutions, and deliver compelling product demonstrations that highlight the Experro platform s capabilities and value proposition. Solution Design & Architecture: Work closely with prospects to translate their business objectives and technical requirements into solution designs leveraging Experro s features, integrations, and APIs. Proof-of-Concept Management: Lead proof-of-concept and pilot projects by setting up environments, configuring integrations, and guiding customers through hands-on evaluation, ensuring a smooth and successful technical validation process. Technical Liaison: Communicate prospect feedback, technical challenges, and feature requests to Product Management, Engineering, and Support teams to influence product enhancements and address market needs. RFP/RFI Responses: Participate in the development and review of technical content for proposals, RFPs, and RFIs, ensuring accuracy, clarity, and compliance with customer requirements. Relationship Building: Establish trusted-advisor relationships with prospects technical teams and key decision-makers, positioning Experro as a strategic partner for their digital transformation initiatives. Knowledge Sharing & Enablement: Provide training, best practices, and technical guidance to internal Sales and Customer Success teams to ensure they are well-equipped to communicate Experro s value proposition effectively. Continuous Improvement: Stay current on industry trends, competitive products, and emerging technologies to maintain a strong technical presence and continually refine solution strategies. Qualifications: Education & Experience: Bachelor s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in a pre-sales, solutions engineering, or technical consulting role within the software or SaaS industry. Technical Expertise: Strong understanding of web technologies, APIs, data integrations, and cloud computing. Familiarity with e-commerce, digital experience platforms, or related enterprise software solutions is highly desirable. Communication & Presentation Skills: Exceptional ability to simplify complex technical concepts for non-technical stakeholders. Strong written, verbal, and presentation skills, with a proven track record of delivering compelling product demonstrations. Problem-Solving & Analytical Thinking: Adept at identifying customer challenges, proposing solutions, and articulating technical capabilities in a consultative manner. Comfortable with diving deep into technical details to resolve customer queries. Team Player: Experience working closely with cross-functional teams Sales, Product Management, Engineering, Customer Success to deliver an outstanding end-to-end customer journey. Adaptability & Drive: Self-motivated, highly organized, and able to thrive in a fast-paced environment. Demonstrated ability to handle multiple opportunities simultaneously while meeting deadlines and achieving objectives. Career Growth: Join a fast-growing company with opportunities for personal and professional development. Impact: Work on cutting-edge SaaS solutions impacting global enterprise clients. Dynamic Environment: Collaborate with talented teams and work in a highly innovative, fast-paced environment. Global Exposure: Work with international clients and gain exposure to a variety of industries and challenges. If you're an experienced Solution Engineer with a passion for technology, consultative sales, and SaaS solutions, we d love to have you join our Rapidops team to make a meaningful impact! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

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

Responsibilities: Develop and maintain the architectural design of our SaaS products, ensuring they are scalable, reliable, and performant. Work closely with engineering teams to implement architectural designs correctly and meet business requirements. Provide guidance and best practices on system design, coding standards, and technology choices. Create and maintain comprehensive architectural documentation and diagrams. Analyze and optimize system performance, identifying and addressing bottlenecks. Troubleshoot and resolve complex technical issues related to system design and integration. Stay up-to-date with industry trends and emerging technologies, recommending improvements to enhance system capabilities. Qualifications: Minimum of 2 years of experience as a System Architect or in a similar role, with a focus on SaaS applications. Proficiency in designing and implementing scalable systems using modern technologies and frameworks; experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. Strong coding skills in one or more languages commonly used in SaaS development (e.g., Java, Python, C#). Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Strong analytical and problem-solving abilities, with a track record of addressing complex system issues.

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.

Required Experience, Skills and Qualifications 1+ years of solid hands-on software development experience with a focus on continuous delivery and deployment, enterprise application development, cloud automation, and building a container-hosting platform Software programming experience in Golang is a must. At least 1+ years of Go programming experience A proven track record with Docker containers with a deep understanding of the current container ecosystem and marketplace Experience building cloud-based applications using micro-services and deploying in containerised environments Good understanding of Kubernetes fundamentals Experience with running containers (Docker/LXC) on Kubernetes platform Understanding of Software design patterns, SDLC, Test Driven Development (TDD), Continuous Integration, and Continuous Delivery Experience working in an agile development environment Strong analytical and problem-solving skills Strong communication and collaboration skills Understanding of RESTful APIs, HTML/CSS, ES6 (variables and scoping, array methods), GIT, popular frontend development tools, CI/CD tools, DevOps.

Job Title: Data Engineer Position Overview: We are seeking a Data Engineer to join our team and work on developing and maintaining our Python-based applications. The Data Engineer will be responsible for designing, developing, testing, and maintaining code for new features while fixing bugs in the existing codebase. The role requires experience with ETL/ELT tools, SQL, Python, and PowerBI to deliver high-quality data integration and reporting solutions. Key Responsibilities Collaborate with the source application team and Data Champions to build and maintain the ETL/ELT pipelines for various source systems across the organization. Utilize applicable tools (e.g., SSIS, APIs) to qualify, extract, standardize/normalize, optimize, and import data from source to target data marts. Demonstrated experience working with Microsoft SQL Server Integration Services (SSIS) to create and deploy ETL packages. Write and optimize complex SQL queries, stored procedures, views, and functions for data extraction and transformation. Work on data analysis projects and continuous improvement programs to support internal projects. Use data visualization and reporting tools like Power BI/SSRS to create and publish reports. Write high-quality, clean, and maintainable code. Collaborate with cross-functional teams to define, design, and ship new features. Identify and fix bugs in existing code and optimize the performance of our applications. Ensure proper documentation for all tasks and deliverables. Requirements 3 to 5 years of experience in ETL/ELT tools, SQL, SSIS, Python, and PowerBI. Solid Python development skills, particularly for data manipulation or back-end API/framework development. Experience with SSIS and Business Objects Data Services, including data governance, master data management, data cleansing, Slowly Changing Dimensions, and Change Data Capture. Experience developing ETL pipelines using Python and SSIS to support data warehouse and data pipeline automation. Proven ability to write complex SQL queries and optimize them for performance. Experience managing production support for ETL projects and handling deployment activities. Tools and Activities Experience Data Integration and Management Tools: SQL Server Integration Services (SSIS), APIs, Python, SQL Server. Databases: SQL Server, MySQL, DB2. Data Visualization Tools: Microsoft Power BI, SSRS. Cloud: Azure (preferred). Skill Sets: Python, SQL Server, PowerBI, Azure (plus). Desired Skills Strong analytical skills with the ability to write and optimize SQL queries effectively. Excellent problem-solving and troubleshooting skills, particularly in a production support environment. Ability to work independently and manage multiple projects simultaneously. Strong written and verbal communication skills for reporting and collaborating across teams.

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech