Python Automation Jobs in Ahmedabad

Senior Embedded Software/Firmware Engineer Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are seeking an experienced Senior Embedded Software/Firmware Engineer to join our core R&D team focused on developing robust and high-performance embedded systems for industrial-grade products. You will own the firmware development process throughout the product lifecycle, from initial design to final deployment. Prior experience in avionics or cutting-edge consumer electronics will be highly valued. Key Responsibilities Lead the design and development of embedded firmware for microcontrollers, SoCs, and custom hardware platforms. Architect and implement low-level device drivers, middleware components, and protocol stacks. Collaborate closely with hardware engineers, QA teams, and systems engineers to define firmware requirements and integration plans. Perform board bring-up, system debugging, and optimize firmware for performance and reliability. Develop and execute comprehensive test plans covering unit, integration, and system-level testing. Maintain high standards for code quality, maintainability, and traceability using version control systems (Git, SVN) and issue-tracking tools. Contribute to firmware architecture, coding standards, and conduct peer code reviews. Document software designs, test outcomes, and interface specifications thoroughly. Stay current with emerging embedded technologies, tools, and industry standards. Required Qualifications Bachelor s or Master s degree in Electronics, Electrical, Computer Engineering, or related field. 6 8 years of professional experience in embedded software/firmware development. Strong proficiency in C/C++ programming, real-time operating systems (RTOS), and bare-metal firmware development. Hands-on experience with ARM Cortex-M, STM32, or similar microcontroller families. Solid understanding of communication protocols such as SPI, I2C, UART, CAN, Ethernet, PCIe, and USB. Skilled in debugging tools including JTAG, oscilloscopes, and logic analyzers. Proven experience across full development cycles: design, implementation, debugging, testing, and documentation. Preferred Qualifications Experience working in avionics environments (DO-178C, ARP-4754) or safety-critical development. Familiarity with scripting languages (Python, Bash) for automation and testing purposes. Knowledge of high-speed interfaces or FPGA firmware interactions. Understanding of MISRA C, secure coding practices, and industry coding standards. Be a part of a dynamic and innovation-driven team. Work on real-world, deployed products in industrial and emerging technology sectors. Opportunity to work on advanced platforms and collaborate with domain experts. Competitive salary with clear and transparent career growth opportunities. Qualification : Bachelors or Masters degree in Electronics, Electrical, Computer Engineering, or related field

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: Python Developer (ERP & API Integration) Experience: 2 4 Years Location: Rajkot, Gujarat Vacancies: 2 Job Type: Full-Time Job Overview: We are hiring experienced Python Developers with 2 4 years of hands-on experience to contribute to the development and enhancement of our ERP platform. This role involves working with Python, APIs, and basic SQL operations, as well as applying object-oriented programming (OOP) principles to build scalable, maintainable solutions. Key Responsibilities: Develop Python-based modules and applications to enhance and extend ERP platform features. Perform basic SQL operations including data retrieval, insertion, and manipulation. Support and contribute to API integrations between internal systems and third-party services. Write modular, reusable, and maintainable code using OOP best practices. Participate in debugging, troubleshooting, and resolving software issues. Collaborate closely with cross-functional teams and maintain clear technical documentation. Eligibility & Requirements: 2 to 4 years of experience as a Python Developer. Solid understanding of Python programming, object-oriented principles, and clean coding practices. Familiarity with basic SQL operations and database interactions. Experience or exposure to API development and integration. Strong team collaboration and communication skills. Desirable Skills: Experience with ERP systems or enterprise software development. Familiarity with tools like Postman, Git, or JIRA. Knowledge of frameworks like Flask, Django, or FastAPI is a plus. Understanding of RESTful web services and backend architecture. Personal Attributes: Analytical thinker with attention to detail. Positive, self-motivated, and eager to learn. Ability to work both independently and as part of a collaborative team. Commitment to timely delivery and continuous improvement. Be part of a growing, tech-forward team in Rajkot. Work on challenging ERP and automation projects. Opportunity to grow your Python expertise in a collaborative environment.

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

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

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

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

Job Summary Shaligram Infotech LLP is seeking a highly skilled and motivated QA Tester with experience in both Manual Testing and Automation Testing to join our dynamic team. As a QA Tester, you will play a crucial role in ensuring the quality and functionality of our products and services. You will collaborate with cross-functional teams to develop test strategies, create test cases, and execute manual and automated tests to detect defects and enhance overall product quality. Key Responsibilities Manual Testing Execute comprehensive manual testing on web, mobile, and desktop applications. Review and analyze project requirements and specifications to create test plans and test cases. Identify and document defects, issues, and inconsistencies. Perform regression testing to ensure the stability and functionality of the software after updates or enhancements. Perform functional, usability, and exploratory testing. Automation Testing Develop and maintain automated test scripts for regression, functional, and performance testing using appropriate automation tools (Selenium, JUnit, TestNG, etc.). Integrate automated tests into the CI/CD pipeline to ensure continuous delivery of quality software. Troubleshoot and resolve issues with automation scripts and frameworks. Collaborate with development teams to improve test coverage and optimize automated testing. Collaboration Work closely with development teams to understand features and functionality and contribute to the creation of testable requirements. Participate in sprint planning, daily stand-ups, and reviews. Assist in identifying, prioritizing, and managing defects through resolution. Quality Assurance Ensure that software meets customer expectations and industry standards. Conduct risk analysis to identify potential issues early in the development lifecycle. Contribute to the continuous improvement of testing processes and methodologies. Required Skills & Qualifications Experience: 2 to 4 years of experience in manual and automation testing. Manual Testing Strong understanding of software testing life cycles and methodologies. Experience in functional, regression, integration, and system testing. Ability to write and execute test cases, report bugs, and manage test results. Automation Testing Proficiency in automation tools (e.g., Selenium, QTP, or other relevant tools). Experience with scripting languages (e.g., Java, Python, or JavaScript) for test automation. Familiarity with test frameworks such as TestNG, JUnit, or others. Tools & Technologies Knowledge of bug-tracking tools such as Jira, Bugzilla, or others. Familiarity with CI/CD tools like Jenkins or Bamboo is a plus. Understanding of version control systems like Git. Soft Skills Strong analytical, problem-solving, and troubleshooting skills. Good communication skills to collaborate with cross-functional teams and report testing outcomes. Attention to detail and ability to think critically. Desired Skills Experience with performance testing tools (e.g., JMeter, LoadRunner) is a plus. Familiarity with API testing and tools (e.g., Postman, SoapUI). Knowledge of Agile or Scrum methodologies. Education Bachelor s degree in Computer Science, Engineering, or a related field.

Primary Skills: Python, Django, FastAPI, REST, AWS. Key Responsibilities: Design, develop, and maintain web applications using Python and the Django framework. Implement RESTful APIs and integrate them with front-end components. Utilize Flask/FastAPI for specific projects or microservices as needed. Write efficient, reusable, and testable code. Collaborate with front-end developers, designers, and other stakeholders to create seamless user experiences. Optimize applications for maximum speed and scalability. Troubleshoot and debug applications to ensure optimal performance. Deploy and manage applications on AWS, leveraging its services for scalability and performance. Stay updated with the latest industry trends and technologies to continuously improve skills and enhance the development process. Preferred Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Ability to work independently and manage multiple tasks effectively. Experience with additional frameworks and libraries (e.g., FastAPI, Pyramid). Experience in Cloud services. Familiarity with containerization technologies like Docker.

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.

Responsibilities Develop and maintain web applications using FastAPI, ensuring high performance and responsiveness to requests from the front-end. Design and implement database models and perform validation using Pydantic models. Work with SQLAlchemy for ORM tasks, managing both relational and non-relational databases. Perform asynchronous and synchronous database operations on MySQL, MongoDB, PostgreSQL, and TimescaleDB. Write and execute tests using pytest to ensure the reliability and quality of the codebase. Implement security features, including Google OAuth2, JWT, and API keys, to protect applications and user data. Manage and orchestrate background processes to handle various tasks and improve application efficiency. Utilize MQTT for messaging and communication between services. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve issues related to application performance, reliability, and security. Maintain code quality, organization, and automation. Requirements Bachelor s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Python development. Proven experience with FastAPI (or Flask, with a willingness to learn FastAPI). Strong knowledge of Pydantic for request and database model validation. Extensive experience with SQLAlchemy and ORM. Proficient in performing async & sync database operations. Hands-on experience with MySQL, MongoDB, PostgreSQL, and TimescaleDB. Expertise in QA/testing with pytest. Strong understanding of security protocols including Google OAuth2, JWT, and API keys. Experience in managing background processes. Familiarity with MQTT for messaging. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Bytes Technolab is a comprehensive web application development company, established in 2011, with a global presence in the USA, Australia, and India. Since its inception, Bytes has consistently demonstrated excellence in innovative web development, eCommerce solutions, and mobile application development services. Roles & Responsibilities: Cloud Infrastructure Solutions: Design, implement, and maintain scalable and reliable cloud infrastructure solutions leveraging GCP and AWS services. Kubernetes Cluster Management: Deploy, configure, and manage Kubernetes clusters on both GCP and AWS, ensuring smooth integration with RabbitMQ for reliable messaging. Collaboration with Development Teams: Collaborate with software development teams to optimize application deployment, monitoring, and performance in a cloud environment. RabbitMQ Management: Implement and manage RabbitMQ messaging queues for efficient communication between services, ensuring reliability and performance. CI/CD Pipeline Management: Develop and maintain CI/CD pipelines for automated application deployment and release management, integrating RabbitMQ as part of the pipeline. Infrastructure as Code (IaC): Implement IaC using tools like Terraform or CloudFormation, ensuring consistent and repeatable deployments across the cloud environment. Monitoring and Troubleshooting: Monitor and troubleshoot system and application performance, including RabbitMQ queue performance optimization. Compliance and Security: Conduct regular audits to ensure adherence to industry best practices and security standards, with a particular focus on messaging queue security. Cross-Functional Collaboration: Work with cross-functional teams to resolve infrastructure and deployment-related issues, with a focus on messaging queues and cloud environments. Continuous Learning and Evaluation: Stay up-to-date with the latest trends in DevOps, cloud computing, and messaging queue technologies to evaluate their applicability to the organization. Skills Required: Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. Experience: Proven experience as a DevOps Engineer or in a similar role, with a strong focus on Kubernetes, GCP, AWS, and RabbitMQ. Kubernetes Expertise: In-depth knowledge of Kubernetes, including cluster management, deployment, and troubleshooting in both GCP and AWS environments. Cloud Platforms Knowledge: Hands-on experience with GCP services (e.g., compute engine, Kubernetes engine, cloud storage) and AWS services (e.g., EC2, ECS/EKS, S3, RDS). Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or PowerShell for automating infrastructure management and application deployments. Configuration Management: Familiarity with configuration management tools like Ansible, Chef, or Puppet. CI/CD Principles: Solid understanding of CI/CD principles, with experience using tools like Jenkins, GitLab CI/CD, or CircleCI. Containerization and Orchestration: Experience with Docker for containerization and Kubernetes for container orchestration. RabbitMQ Expertise: Strong understanding of RabbitMQ, including setup, configuration, clustering, and ensuring message reliability. Problem-Solving Skills: Strong problem-solving skills with the ability to troubleshoot complex issues in a distributed, cloud-based environment. Communication & Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Certifications: Professional certifications related to cloud computing, Kubernetes, DevOps, or RabbitMQ are highly desirable. Additional Skills: Experience with other cloud platforms like Azure or IBM Cloud is a plus. Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Splunk. Understanding of infrastructure security principles, particularly for messaging queues. Experience with database administration (SQL or NoSQL) is beneficial. Familiarity with Agile development methodologies. Qualification : Bachelor's degree in computer science, engineering, or a related field (or equivalent work experience).

Sr. DevOps Engineer To qualify for the role you must have: Experience: 10+ Years Skills: Azure DevOps, MySQL, CI/CD, Docker, Python, Shell, Cloud Services (MS SQL/MySQL, NoSQL), Swagger, REST Qualifications: MCA/ BCA / BEIT / BECE /MSc.IT /Bsc.ITYour key responsibilities: Work on a UK Time Zone (11:30 AM to 9 PM IST) schedule to ensure at least 6 hours overlap with the client s team. Provide call support on a rotational basis, ensuring smooth operations and timely resolutions. Lead DevOps initiatives with 7+ years of experience, including at least 3 years of hands-on experience with Azure DevOps. Act as a DevOps Lead, mentoring junior engineers and driving the implementation of best practices for CI/CD, cloud infrastructure, and automation. Ensure proficiency in Azure Infrastructure and Azure DevOps, contributing to the design, deployment, and management of scalable and secure infrastructure. Maintain a constant learning attitude, staying updated on the latest DevOps technologies and trends. Skills and attributes for success: Deep experience with CI/CD tools and hands-on expertise in building and managing pipelines. Strong knowledge of C#, .NET, .NET Core, and working with databases (SQL, MySQL, NoSQL). Excellent team collaboration skills, with the ability to work effectively across development, database, and technical support teams. Strong organizational and time management skills, with the ability to manage multiple projects simultaneously. Awareness and familiarity with Agile processes, ensuring efficient sprint planning and task management. A strong sense of ownership and responsibility for project success, with a focus on delivering high-quality, reliable infrastructure solutions. Proficiency with enterprise-grade tools like Jira, Confluence, and other project management/requirements management solutions. Expert knowledge in automation and configuration management technologies, capable of designing, planning, and deploying large-scale solutions. Experience implementing monitoring and logging solutions for cloud or hybrid environments, particularly in containerized environments. Security-focused design and implementation experience is a plus, with an understanding of how to build secure DevOps pipelines. Hands-on experience with Application Health Monitoring, alerting, and first-level resolution for technical issues. Proven ability to design and implement secure, reliable, and scalable systems. Experience working with Swagger, REST APIs, and integrating with third-party APIs. Strong scripting skills in Python, Shell, and the ability to automate tasks efficiently. Deep understanding of programming languages and their build strategies, particularly in CI/CD pipelines. Complete design and implementation of CI/CD processes, optimizing for scalability and reliability. Experience in the management of cloud services for MS SQL/MySQL and NoSQL databases. Familiarity with virtualization technologies (e.g., hypervisors). Understanding of ISO 27001 and GDPR compliance frameworks. Qualification : MCA/ BCA / BEIT / BECE /MSc.IT /Bsc.IT

Description The Technical Lead for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. This position combines strong technical expertise in AI/ML with leadership skills to guide a team of engineers and data scientists in developing innovative AI/ML solutions. The Technical Lead will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems. Responsibilities 1. AI/ML Model Training and Development Lead the development of new AI Models from scratch and fine-tuning existing base models with new data Implement and execute model evaluation experiments to test and pick the best model for a certain task Build high throughput and automated data pipelines to allow Data analysis and model training Lead feature engineering to select the most relevant features in datasets to train models on Pick the right set of evaluation metric to test model candidates for deployment Use MLOps principles to allow continuous model tuning and performance improvements 2. AI/ML Model Deployment: Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness. Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes. Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines. Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms. 3. Technology Expertise: Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects. 4. Architecture and Design: Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment. 5. Python Development: Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities. Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Extensive experience (5+ years) in AI/ML development, with a focus on deploying models into production environments. Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes. Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must Worked on pre-processing pipelines ensuring security compliances standards are met Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.

ServiceNow Developer ITSM | Full-Time | Ahmedabad, Gujarat Location: Ahmedabad, Gujarat Job Type: Full-Time Experience: 3 to 6 years (including 2+ years of hands-on ServiceNow development) Industry: Information Technology / IT Services Functional Area: ITSM, Application Development Work Schedule: Flexible working hours Job Summary We are hiring an experienced ServiceNow Developer in Ahmedabad to join our growing IT team. This technical role is responsible for the configuration, customization, and ongoing development of the ServiceNow platform, supporting IT Service Management (ITSM) and other business processes in alignment with ITIL best practices. The ideal candidate will bring deep technical knowledge and hands-on experience in building scalable ServiceNow solutions. Key Responsibilities Analyze, define, and document business and system requirements for workflows, integrations, user interfaces, and automation. Configure and customize the ServiceNow platform, including workflows, business rules, client scripts, ACLs, UI policies, and UI actions. Develop and maintain ServiceNow integrations with internal and third-party systems via REST, SOAP, and other methods. Design and implement automated workflows to streamline business processes and improve efficiency. Maintain and manipulate data within the ServiceNow CMDB, incident, change, and other modules. Work closely with cross-functional teams to understand user requirements and deliver scalable solutions. Participate in ServiceNow upgrades, patching, and platform maintenance tasks. Required Skills and Qualifications 3 6 years of overall IT experience, with 2 4 years specifically in ServiceNow development. Strong understanding of ITSM processes and practical experience in ServiceNow implementations. Experience working on enterprise-level applications with multi-functional modules. Proficiency in JavaScript, ServiceNow scripting, UI policies, and data policies. Experience integrating ServiceNow with other tools and platforms. Solid grasp of ITIL v3 concepts, particularly in operational support and analysis. Excellent problem-solving skills, attention to detail, and ability to work independently. Preferred / Nice to Have Experience with ServiceNow Service Portal development for creating customized user experiences. Knowledge of front-end technologies such as AngularJS, Bootstrap, CSS, and HTML. Experience building widgets and custom portal components in ServiceNow. ServiceNow certifications (e.g., CSA, CAD, CIS) are a strong plus. Prior experience in agile development environments. Opportunity to work on cutting-edge ServiceNow implementations. Collaborative work culture with flexible working hours. Exposure to enterprise ITSM, automation, and cloud platforms. Continuous learning and certification opportunities. Apply now to grow your career as a ServiceNow Developer in a dynamic, fast-paced IT environment 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: AI/ML Developer Experience: 2-3 Years Positions: 2 Location: Rajkot, Gujarat Job Type: Full-Time Job Overview: We are looking for skilled and motivated AI/ML Developers with 2-3 years of experience to join our innovative team in Rajkot. The ideal candidates will have a strong background in building AI and machine learning solutions, leveraging deep learning, natural language processing, and generative AI technologies to drive business value and product excellence. Key Responsibilities: Develop and deploy AI/ML models using programming languages like Python, C++, R, or Scala. Build and optimize machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, nltk, transformers, and LangChain. Apply deep learning, computer vision, NLP, and generative AI techniques to solve complex problems. Work with Large Language Models (LLMs) including training on custom datasets and integrating third-party APIs like OpenAI API. Perform data preprocessing, feature engineering, exploratory data analysis (EDA), model selection, hyperparameter tuning, and model evaluation. Analyze and visualize data, creating dashboards and visual aids to support decision-making. Utilize SQL and NoSQL databases such as MySQL, PostgreSQL, and MongoDB for data storage and retrieval. Collaborate with cross-functional teams in an Agile environment and adopt DevOps practices for continuous integration and deployment. Stay updated with emerging AI/ML trends and technologies, implementing them into products and services. Communicate technical concepts effectively to stakeholders. Participate in designing scalable AI/ML solutions and contribute to the overall architecture. Bonus skills: Experience with Python web frameworks (Django, Flask, FastAPI), ML Ops, and cloud platforms. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields. Minimum 2 years of professional experience in AI/ML development. Strong programming skills in Python, C++, R, or Scala. Hands-on experience with machine learning libraries and frameworks. Solid understanding of machine learning algorithms: supervised, unsupervised, and reinforcement learning. Knowledge of LLMs, generative AI models, and integration of AI APIs. Experience in data preprocessing, feature engineering, model tuning, and evaluation. Good grasp of SQL and NoSQL databases. Strong analytical, problem-solving, and communication skills. Experience with Agile methodologies and DevOps is a plus. Personal Attributes: Eager learner with a passion for AI/ML innovations. Proactive, self-motivated, and able to work independently or as part of a team. Excellent collaboration and stakeholder management skills. Opportunity to work on cutting-edge AI/ML projects. Collaborative work environment in Rajkot fostering innovation. Continuous learning and professional growth opportunities. Apply now to be part of our AI-driven future and contribute to building intelligent solutions that make an impact! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.

Job Title: 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.