Pipeline Design Jobs in Ahmedabad

Tech Lead Embedded Software/Firmware Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are looking for a skilled Tech Lead Embedded Software/Firmware to lead our growing embedded systems team focused on delivering robust solutions for industrial applications, with opportunities to work on avionics and high-end consumer electronics. The ideal candidate is hands-on, technically strong, and adept at mentoring engineers while driving the delivery of production-quality embedded software. Key Responsibilities Define software architecture and guide design decisions for embedded products across industrial and consumer domains. Lead development of embedded firmware for microcontrollers, SoCs, and FPGAs using C/C++ and assembly language. Drive Board Support Package (BSP) development including bootloaders, device drivers, and OS bring-up (Linux, RTOS). Collaborate with hardware teams on board bring-up, hardware validation, and early prototyping. Architect and implement firmware for interfaces such as UART, SPI, I2C, CAN, USB, Ethernet, GPIO, and memory controllers. Integrate RTOS or embedded Linux based on project needs, including kernel customization and peripheral support. Establish and enforce coding standards, conduct code reviews, and promote embedded software best practices. Maintain embedded development environments, toolchains, and build systems (e.g., Make, CMake, Yocto). Manage the entire software lifecycle from requirements gathering through testing, validation, and release. Coordinate with cross-functional teams including hardware, QA, and manufacturing for seamless product delivery. Mentor and provide technical training to junior and mid-level engineers. Lead root cause analysis and debugging for complex system-level hardware/software issues. Ensure compliance with industry standards and safety frameworks (e.g., MISRA, ISO 26262, IEC 61508). Work closely with project and program managers on timelines, resource allocation, and risk management. Required Qualifications Bachelor s or Master s degree in Electronics, Electrical, or Computer Engineering. 10+ years of embedded firmware/software development experience, including 2+ years in a leadership role. Expertise in embedded C/C++, real-time operating systems, and microcontroller/System on Module platforms. Experience with firmware bring-up, bootloaders, RTOS (FreeRTOS, ThreadX, etc.), and communication protocol stacks. Familiarity with version control systems (Git, SVN) and CI/CD pipeline implementation. Strong knowledge of industrial communication protocols, safety-critical systems, and hardware interfacing. Exposure to compliance frameworks such as DO-178, MISRA, or ISO 26262 is a plus. Preferred Qualifications Experience in avionics or consumer electronics firmware development. Proficiency in scripting languages and Python-based test automation. Knowledge of embedded Linux and FPGA interfacing or signal processing. Benefits Opportunity to work on cutting-edge projects across industrial, avionics, and emerging technology sectors. Lead and grow a high-performing embedded software team with career advancement prospects. Competitive salary and a dynamic, collaborative work environment. Qualification : Bachelors or Masters degree in Electronics, Electrical, or Computer Engineering

Job Title: Mechanical & Electrical Engineer (CGD Projects) Location: Ahmedabad Company Overview: SGS is the global leader in inspection, verification, testing, and certification services. Renowned for our commitment to quality and integrity, we operate with over 94,000 employees across more than 2,600 offices and laboratories worldwide. Position Summary: SGS India is seeking experienced Mechanical and Electrical Engineers to join our team, specializing in City Gas Distribution (CGD) projects involving Steel and MDPE pipelines. Key Qualifications: Bachelor s degree in Mechanical or Electrical Engineering Minimum of 3 years of relevant experience in City Gas Distribution projects Location: Ahmedabad If you are looking to advance your career with a reputable global company, apply now to join SGS India s dynamic team. Qualification : Bachelors degree in Mechanical or Electrical Engineering

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

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

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

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

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

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).

Unity Developer Location: Ahmedabad Job Overview: We are looking for a talented Unity Developer to join our team and work on exciting mobile and web-based game development projects. You will be responsible for implementing game functionality, translating design specifications into functional games, and ensuring optimal game performance across platforms. If you have a strong background in Unity and are passionate about creating engaging gaming experiences, we d love to have you onboard. Mandatory Skills: Unity Development: Proficiency in Unity, including scripting, animation, and texture implementation. Mobile & Web Game Development: Experience with mobile game development for Android & iOS as well as WebGL game development. App Store Configuration: Experience with Android and Apple App Store configuration, build creation, and upload. Socket Communication: Knowledge of socket.io for handling real-time communication in games. Optimization Skills: Experience optimizing memory and space usage to support older hardware and low-resource devices. OOP Knowledge: Strong understanding of Object-Oriented Programming (OOP) principles and their application in Unity development. Clean Code Writing: Skill in writing clean, maintainable, and efficient code. Version Control: Proficient knowledge of GIT or other code versioning tools. Performance & Quality Focus: Ensuring the best possible performance, quality, and responsiveness of applications. Primary Responsibilities: Game Functionality: Implement game functionality according to the communicated design and functional specifications. Collaborative Work: Communicate with other team members to establish an effective pipeline and integrate media assets. Efficient Code Development: Design, build, and maintain efficient, reusable, and reliable code to support gameplay features. Performance Optimization: Ensure the best possible performance, quality, and responsiveness of games across all platforms. Code Maintenance: Help maintain code quality, organization, and clarity throughout the development lifecycle. Continuous Learning: Stay updated with the latest game development technologies, trends, and best practices. Desired Skills: 3D, AR & VR Development: Experience working with 3D environments and knowledge of Augmented Reality (AR) and Virtual Reality (VR) would be a plus. Experience Requirements: Proven experience in Unity game development, including scripting, textures, and animations. Hands-on experience with mobile game development for Android and iOS. Familiarity with WebGL for browser-based game deployment. Strong experience with socket communication using socket.io. Expertise in optimizing game performance and memory usage for various devices, especially older hardware. Solid understanding of Object-Oriented Programming (OOP) and its application in Unity. Familiarity with GIT or other version control tools. Demonstrated ability to write clean, readable, and maintainable code. Experience with 3D development, AR, and VR is highly desirable. Qualifications: Bachelor s degree in Computer Science, Game Development, or a related field, or equivalent practical experience. Proven experience working with Unity on multiple gaming projects. A passion for game development and a desire to learn and grow with emerging technologies. If you are an innovative and passionate Unity Developer looking to work on challenging and exciting projects, we encourage you to apply and be part of our creative and dynamic team. Qualification : Bachelors degree in Computer Science, Game Development, or a related field, or equivalent practical experience.

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

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

Position: Test Automation Engineer (C# Automation) Job Overview: We are looking for a talented and experienced Test Automation Engineer to join our team. In this role, you will design, develop, and maintain automated test scripts using C# and FlaUI to ensure the highest quality of our software applications. You'll work closely with development teams to enhance our automation frameworks and contribute to continuous process improvements. Key Responsibilities: Design, develop, and maintain robust and efficient automated test scripts using C# and FlaUI for UI automation. Identify, prioritize, and automate test cases to improve test coverage and efficiency. Execute automated tests, analyze test results, and identify defects for quick resolution. Collaborate with development teams to understand application features, requirements, and to enhance test scenarios. Troubleshoot and resolve issues related to automated test scripts and environments. Contribute to the continuous improvement of the automation framework, tools, and processes to streamline testing efforts. Required Skills & Experience: Experience: 3-10 years in Test Automation engineering. Proficiency in C# programming language for automation tasks. In-depth knowledge and experience with the FlaUI framework for UI automation. Hands-on experience with test automation frameworks, particularly NUnit. Familiarity with CI/CD pipelines to integrate automated tests into the development process. Strong understanding of Windows automation frameworks. Excellent problem-solving and analytical skills to troubleshoot and resolve issues. Outstanding communication and teamwork abilities to collaborate effectively. Desirable Skills: Experience in automating web and desktop applications using C#, NUnit, and FlaUI. Knowledge of Selenium and Appium for additional automation tasks. Location: Ahmedabad, Gujarat, India (Ognaj, eInfochips) Employment Type: Full-time Job Category: Engineering Services

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: 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: 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

Job Overview Join us in shaping both our product and company culture! We re looking for an experienced engineer who thrives in a collaborative environment and enjoys experimenting with innovative solutions for building a blockchain ecosystem. You ll work alongside a supportive team that values agility, quality, and delivering impactful results. What You ll Do Play a core role in defining and implementing our product strategy. Collaborate closely with the team to deliver high-quality solutions with the right balance of speed and precision. Own the full lifecycle of projects from ideation to production release. Design and build scalable backend systems and ETL pipelines for processing financial market data. Work with modern tools and technologies such as Node.js, Typescript, AWS, Docker, Terraform, and Kafka. Contribute to backend architecture, code implementation, and strategies for improving system performance over time. 8+ years of engineering experience, with a strong foundation in distributed systems. Proficiency in Node.js, JavaScript, and Python. Experience with serverless technologies like AWS Lambda and AWS Fargate. Proven track record of running production APIs (REST/GraphQL). Experience working with Puppeteer, Playwright, or Cypress. Strong knowledge of relational databases (PostgreSQL, Snowflake). Hands-on experience managing complex software systems in AWS. Bonus Skills Experience with Rust, Solidity, and smart contract development/testing. Familiarity with Kafka and building ETL pipelines.

Job Role & Responsibilities We are seeking a skilled DevOps Engineer to collaborate with cross-functional teams and deliver robust solutions in AWS cloud environments. You will play a critical role in building serverless, microservice-based, IaaS, PaaS, and containerized architectures while developing and automating cloud infrastructure and deployment pipelines. Key Responsibilities: Design and implement serverless and containerized architectures in AWS Cloud environments. Develop reusable, parameterized Infrastructure as Code (IaC) templates using Terraform and CloudFormation for automated deployments. Build and manage CI/CD pipelines using AWS services such as CodeBuild, CodeDeploy, and CodePipeline. Integrate third-party tools (e.g., SonarQube) into CI/CD workflows to enhance code quality and security. Configure and manage environments using industry-standard DevOps tools (e.g., Ansible). Implement custom scripts (e.g., PowerShell, Bash, Python) to extend build, deployment, and monitoring processes. Work with both Windows and Linux-based systems. Install, configure, and manage AWS cloud tools and services. Required Skills & Experience 4+ years of experience working in a DevOps or Engineering role within AWS Cloud environments. Strong understanding of DevOps concepts and tools. Proven experience developing CI/CD pipelines using AWS native tools (e.g., CodePipeline). In-depth knowledge of Cloud Networking, including NSGs, VPCs, DNS, and Routing. Familiarity with Linux and Windows operating systems, including endpoint protection. Experience in diagnosing and troubleshooting system and application issues.