Cloud Data Architect Snowflake Jobs in Ahmedabad

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

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

We are seeking a highly skilled and experienced Full Stack Team Lead to lead our development team and drive the development of our web applications. The ideal candidate will have a strong technical background, excellent leadership skills, and a passion for building innovative solutions. JOB RESPONSIBILITIES: Lead and mentor a team of developers, providing technical guidance and support. Design and architect scalable, maintainable, and secure web applications. Hands-on development using PHP, Laravel, React, Next.js, Node.js, MySQL, and PostgreSQL and other Javascript Frameworks. Oversee the deployment, monitoring, and maintenance of applications using DevOps practices and tools like Docker. Identify and resolve technical challenges, and provide innovative solutions. Collaborate effectively with cross-functional teams, including designers, product managers, and QA engineers. Conduct regular code reviews to ensure quality and maintainability. Optimize application performance and scalability. Implement security best practices to protect applications from vulnerabilities. SKILLS REQUIRED: Strong proficiency in PHP, Laravel, React, Next.js, Node.js, MySQL, and PostgreSQL. Experience with frontend and backend development. Strong grip on Rest APIs, Swagger, Auth and other known libraries. Solid understanding of web technologies (HTML, CSS, JavaScript). Experience with version control systems (Git). Knowledge of DevOps practices, including CI/CD pipelines and containerization. Excellent problem-solving and debugging skills. Strong communication and interpersonal skills. Ability to lead and mentor a team. Experience with Redis for caching and data storage will be added advantage. Basic Knowledge of cloud platforms (AWS, GCP, Azure). Basic Knowledge with testing frameworks (Jest, Mocha, Cypress). Understanding of security best practices and vulnerability assessment.

Details As a Senior Full Stack Developer at Shaligram Infotech, you will be responsible for designing, developing, and maintaining complex web applications using .NET for backend services and Angular for frontend development. You will lead a team of developers, providing technical guidance, best practices, and ensuring the quality and efficiency of the codebase. Your role will involve working on high-impact projects and collaborating with cross-functional teams to deliver solutions that meet business requirements. Responsibilities Lead the development of full-stack web applications using .NET (C#, ASP.NET Core) for backend and Angular for frontend. Design and architect scalable, high-performance solutions based on business requirements. Provide technical leadership, mentoring, and guidance to junior developers, ensuring best practices and coding standards are followed. Build and integrate RESTful APIs, ensuring seamless data flow between the frontend and backend. Manage and optimize SQL databases (SQL Server, PostgreSQL) for performance, scalability, and security. Oversee the deployment process and work with DevOps teams to implement CI/CD pipelines. Ensure cross-browser compatibility, responsiveness, and UI/UX best practices for Angular applications. Collaborate with product managers, UI/UX designers, and other stakeholders to deliver high-quality software on time. Troubleshoot and resolve complex technical issues, ensuring minimal downtime and high availability. Stay up-to-date with emerging technologies and continuously improve development processes and practices. Participate in Agile development cycles, including sprint planning, retrospectives, and daily stand-ups. Required Skills 5+ years of professional experience in .NET (C#, ASP.NET Core, MVC) and Angular (version 2 and above). Extensive experience in building and maintaining full-stack web applications. Strong knowledge of HTML5, CSS3, JavaScript, and modern JavaScript frameworks (especially Angular). Experience with RESTful API design and integration. Proficiency in SQL and NoSQL databases (SQL Server, PostgreSQL, MongoDB). Strong experience with version control systems, particularly Git. Expertise in application performance tuning, optimization, and debugging. Experience in designing and implementing secure, scalable, and maintainable solutions. Ability to lead technical teams, conduct code reviews, and mentor junior developers. Knowledge of Cloud Platforms (AWS, Azure) and deployment strategies. Excellent problem-solving, communication, and collaboration skills. Preferred Skills 3+ years of experience in .NET (C#, ASP.NET Core, MVC) and Angular (version 2 and above). Experience with Entity Framework and other ORM frameworks. Familiarity with Docker, Kubernetes, and containerization practices. Knowledge of modern front-end tools and UI frameworks (Angular Material, etc.). Familiarity with CI/CD pipelines, automated testing, and DevOps practices. Experience with Agile methodologies, Scrum, or Kanban. Education & Experience Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. 5+ years of professional experience as a Full Stack Developer, with a focus on .NET and Angular. Proven experience leading development teams and working in Agile environments. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

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.

Roles and Responsibilities Design and implement cloud-native architectures using Docker and Kubernetes to enhance application scalability, manageability, and reliability. Develop and manage comprehensive infrastructure architectures that support both current and evolving business needs. Lead the integration of AI/ML technologies within the cloud infrastructure to foster innovative, efficient business solutions. Implement serverless architectures to simplify operations and improve cost efficiencies. Direct the deployment of service meshes to manage service-to-service communications within containerized infrastructures, enhancing security, observability, and reliability. Establish and maintain immutable infrastructure to ensure consistent and reliable environments across development, testing, and production. Govern the team of cloud architects and engineers, promoting a culture of high performance and continuous skill enhancement. Engage with company stakeholders to ensure that cloud strategies align with overall business objectives and drive key business metrics. Keep abreast of emerging trends in cloud technology, including service meshes, immutable infrastructure, and container orchestration, and assess their impact on business strategies. Lead cloud governance, compliance, and risk management initiatives to safeguard data and comply with regulatory standards. Manage financial aspects of cloud projects, including budgeting, cost projections, and optimization efforts. Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading cloud architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

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

Job Purpose: To deliver innovative and high-quality engineering solutions that drive customer satisfaction, loyalty, and an exceptional consumer experience. Ensure excellence in the execution and delivery of products and solutions. Who You Are: Collaborate with Business Information System Managers and Business Analysts to review requirements and information needs, and develop software solutions accordingly. Design and develop solutions using software development principles and processes; troubleshoot, test, and deploy software applications. Architect, design, develop, implement, and provide ongoing maintenance for SharePoint and Office 365 applications. Migrate content to SharePoint Online sites using migration tools or manual methods. Conduct testing of SharePoint Online sites and components developed by the team. Write technical documentation, user guides, and training materials related to SharePoint administration. Participate in integration and migration processes, writing scripts to move content from other platforms into SharePoint. Customize and develop SharePoint components, including Web Parts, Discussion Boards, User Interface Design, Forms, and Lists. Design and develop custom applications to automate or simplify tasks. What You Need to Succeed: Expertise in designing, coding, testing, and analyzing software programs and applications within the SharePoint environment, throughout the software lifecycle. Experience in designing and developing SharePoint and Office 365 solution implementation projects. Proficient in developing and testing solution components while applying CI/CD best practices. Provide technical expertise and guidance to team members, ensuring adherence to industry best practices. Stay updated on emerging Microsoft and cloud technologies to provide proactive advice on upcoming features and how to prepare for them. Troubleshoot technical issues with methodical diagnostic approaches, and resolve issues efficiently. Design high-level solution designs and create estimates for proposals. Occasionally prepare and present webinars on relevant topics in SharePoint and Office 365. Required Skills: Bachelor s degree with 10+ years of experience in software development. Expertise in the .NET platform (C#, ASP.NET), JavaScript, web services, and custom workflows. Microsoft SharePoint certification (e.g., MOSS, WSS) is a plus. Proven experience with both On-Premises SharePoint (2016/2019) and SharePoint Online. Experience in migrating content from SharePoint On-Premises to SharePoint Online using migration tools such as SPMT. Strong experience with On-Premises SharePoint Workflow and Power Automate. Experience developing SharePoint Web Parts using SPFx. Advanced knowledge of TypeScript, npm, gulp, JSON, and RESTful services. Proficiency in JavaScript and experience working with source control systems (Git, TFS, etc.). Experience with Azure technologies and Power Apps. In-depth knowledge of SharePoint deployment, configuration, and administration. Strong experience with SQL Server and relational database design. Skilled in migrating data from other content management systems to SharePoint. Attention to detail with a commitment to high-quality, error-free deliverables. Strong work ethic, self-motivated, creative, enthusiastic, and adaptable in a dynamic work environment. Excellent team player with the ability to work independently. Ability to analyze business requirements and propose practical solutions. Exceptional communication skills with the ability to manage user expectations effectively. Proven ability to troubleshoot and resolve complex technical issues. Experience working in an Agile environment. Quick to learn new technologies and adept at problem-solving. This role offers an opportunity to work on exciting SharePoint and Office 365 projects and collaborate with a dynamic team to create impactful solutions. Qualification : Bachelors degree with 10+ years of experience in software development.

Job Description: We are looking for a Salesforce Developer with expertise in Salesforce Marketing Cloud and Sales Cloud, along with experience in Salesforce CPQ and Service Cloud. The ideal candidate will be responsible for developing and implementing customized solutions, integrations, and automations using Apex, LWC, Aura, Flows, and Asynchronous Apex. Key Responsibilities: Develop and implement custom solutions and automations using Apex, LWC (Lightning Web Components), Aura Components, Flows, and Triggers. Build and maintain integrations across Salesforce platforms, ensuring seamless data flow. Customize and configure Salesforce Marketing Cloud and Sales Cloud to meet business needs. Work on Salesforce CPQ and Service Cloud solutions. Perform Salesforce admin tasks, including configurations, system health checks, and performance optimization. Collaborate with cross-functional teams to gather requirements and deliver scalable solutions. Key Skills: Proficiency in Salesforce Marketing Cloud and Sales Cloud. Strong hands-on experience with Apex, LWC, Aura Components, Flows, and Asynchronous Apex. Knowledge of Salesforce CPQ and Service Cloud. Expertise in Salesforce admin/configurations and system integrations.

Job Description: We are seeking a Snowflake Lead to design and manage scalable data pipelines and solutions on Snowflake. The ideal candidate will have a strong understanding of Snowflake architecture and data warehousing concepts, along with hands-on experience in ETL processes, SQL optimization, and performance monitoring. Experience with Fivetran is a plus. Key Responsibilities: Design, build, and maintain scalable data pipelines using Snowflake. Implement and manage Snowpipe, Time Travel, and Fail Safe features. Develop and optimize SQL queries for data extraction and transformation. Build and maintain ETL processes to integrate data from multiple sources into Snowflake. Monitor and troubleshoot data warehouse performance issues. Ensure data security and governance practices are in place. Collaborate with cross-functional teams to support business intelligence and reporting requirements. Apply a deep understanding of Snowflake architecture to deliver robust solutions. Experience with Fivetran is an added advantage. Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. Proven experience with Snowflake and data warehousing concepts. Proficiency in SQL and ETL tools (e.g., Talend, Informatica, etc.). Strong problem-solving and analytical skills. Excellent collaboration and communication skills. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

We are seeking a skilled AWS Redshift Developer to join our team and help us optimize our data warehousing and analytics capabilities. Roles & Responsibilities: Design, develop, and maintain data models and ETL processes in Amazon Redshift. Write complex SQL queries and optimize performance for data retrieval and reporting. Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions. Implement best practices for data governance, security, and performance tuning in Redshift. Monitor system performance and troubleshoot any issues that arise. Create and maintain documentation for data models, ETL processes, and system architecture. Stay updated with the latest AWS services and features to enhance data management and analytics capabilities. Requirement: 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift. Proficient in SQL and experience with ETL tools (e.g., AWS Glue, Apache Airflow). Familiarity with data modelling concepts and methodologies. Experience with AWS services such as S3, Lambda, and EC2. Strong analytical skills and attention to detail. Excellent communication and collaboration skills. AWS certifications (e.g., AWS Certified Data Analytics - Specialty). Knowledge of other AWS data services (e.g., RDS, DynamoDB). Experience with BI tools (e.g., Tableau, Power BI) for data visualization. Qualification : 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift.

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.

Minimum of (1+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Microsoft Pre-Sales / Solution Architect Full-Time | Ahmedabad, Gujarat (On-Site) Location: Ahmedabad, Gujarat (Work from Office) Employment Type: Full-Time Experience Required: 1 to 7 years Qualification: Bachelor s degree in Information Technology, Computer Science, or related field Salary: Commensurate with experience and skills Notice Period: Immediate joiners preferred Job Overview We are seeking a dynamic and technically proficient Microsoft Pre-Sales / Solution Architect to join our team in Ahmedabad. This role combines deep expertise in Microsoft technologies with strong business acumen to drive the pre-sales process, engage with clients, and design customized IT solutions. The ideal candidate will play a critical role in bridging the gap between technical teams and client-facing functions, ensuring the successful positioning of our Microsoft-based services and solutions. Key Responsibilities Develop innovative and scalable solutions using the Microsoft technology stack to address client requirements. Lead the creation and delivery of Proof of Concepts (POCs), product demos, and solution walkthroughs. Collaborate closely with the sales team during the pre-sales lifecycle to understand client pain points and offer tailored solutions. Engage directly with clients to present solutions, address technical queries, and ensure alignment with their business goals. Work with internal technical teams to develop detailed proposals, solution architecture, statements of work (SoWs), and project estimations. Stay up to date on Microsoft product releases, feature updates, and evolving technologies across cloud, collaboration, and security portfolios. Package and enhance existing in-house IPs/solutions and develop reusable solution components. Conduct technical workshops and knowledge transfer sessions for clients and internal stakeholders. Coordinate with the Microsoft team on joint go-to-market efforts and pre-sales initiatives. Technical Skills and Product Knowledge Strong understanding of Microsoft 365 (M365) and Office 365 (O365) solutions. Proficiency in Microsoft Azure including IaaS (Infrastructure as a Service) and PaaS (Platform as a Service) offerings. Knowledge of Microsoft security tools such as Intune, DLP, Microsoft Defender, and Endpoint Management. Familiarity with the Power Platform including Power BI, Power Apps, and Power Automate. Basic to intermediate understanding of Microsoft Dynamics 365 (D365) applications, including Customer Engagement (CE), Finance & Operations (F&O), and Business Central (BC). Experience with SharePoint and/or .NET development will be considered a strong advantage. Candidate Profile IT Graduate with strong technical and client-facing skills. Excellent communication, presentation, and interpersonal skills. Ability to think strategically and translate business challenges into technology solutions. Team player with the ability to work independently in a fast-paced environment. Passion for Microsoft technologies and continuous learning. Be a key contributor to enterprise-level Microsoft solution sales. Work with a collaborative and innovation-driven team. Exposure to a wide range of clients, industries, and Microsoft technologies. Growth-oriented environment with certification support. Apply now to join our growing team as a Microsoft Pre-sales / Solution Architect in Ahmedabad and help businesses transform with modern Microsoft solutions. Qualification : Bachelors degree in Information Technology, Computer Science, or related field

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: 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.

Job Title: Dynamics CRM Solution Architect (Techno-Functional) Location: Ahmedabad Qualification: Bachelor s degree in Information Technology, Computer Science, or a related field Experience: 10+ Years About Bytes Technolab: Founded in 2011, Bytes Technolab is a full-spectrum web and mobile application development company with a global footprint in the USA, Australia, and India. We are known for our excellence in crafting innovative digital solutions in web development, eCommerce, and enterprise applications. Our goal is to empower businesses with technology that scales and evolves with their needs. Position Overview: We are looking for an experienced Dynamics CRM Solution Architect (Techno-Functional) who can design, lead, and deliver enterprise-grade Microsoft Dynamics 365 CE/CRM solutions. This role blends technical expertise with business acumen to drive digital transformation and CRM optimization for global clients. Key Responsibilities: Translate complex business requirements into scalable and robust Dynamics CRM solutions. Define and document technical architecture, workflows, and integration strategies. Develop and customize Dynamics 365 CE components: plug-ins, custom workflows, Power Platform solutions. Lead and mentor technical teams, ensuring timely delivery and code quality. Implement best practices for CRM development, deployment, and governance. Conduct requirement gap analysis and draft detailed functional/technical documentation. Customize CRM entities, forms, views, dashboards, and build reports using SSRS. Build and deploy PowerApps (Canvas and Model-Driven), Power Automate workflows, and Power Portals. Integrate Dynamics CRM with platforms like Salesforce, Azure, and other third-party systems. Oversee and execute migrations from legacy CRM systems (CRM 4.0/2011/2016) to Dynamics 365 (online/on-premises). Manage data migration and system upgrades with minimal business impact. Provide post-deployment training, documentation, and support. Stay ahead of new features and capabilities in Dynamics 365 and Power Platform. Troubleshoot technical issues and implement long-term resolutions. Required Skills & Qualifications: 10+ years of hands-on experience in Microsoft Dynamics CRM, including versions 2011, 2013, 2015, 2016, and Dynamics 365 (online & on-premise). Advanced knowledge of Power Platform: Power Apps, Power Automate, Power BI, Power Portals. Strong coding background in C#, JavaScript, HTML/CSS, and SQL Server Reporting Services (SSRS). Experience integrating with Azure Logic Apps, Salesforce, and RESTful APIs. Expertise in CRM plug-ins, custom workflows, business rules, and logic implementation. Solid understanding of project lifecycle, estimation, technical documentation, and Agile methodologies. Excellent communication and stakeholder engagement skills. Preferred Certifications: PL-400 Microsoft Power Platform Developer MB2-703 CRM Customization and Configuration Work on cutting-edge enterprise CRM and Power Platform projects. Lead high-impact digital transformation initiatives. Collaborate with skilled cross-functional teams in a fast-growing company. Opportunity to mentor, innovate, and influence technology strategy. Competitive compensation and a supportive work culture.

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.