Deployment 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: Senior Backend Developer (Golang, PHP & Node.js) Location: Ahmedabad Qualification: Any Graduate Experience: 4+ Years About Us: Bytes Technolab is a full-spectrum web and mobile application development company established in 2011. With a global presence in the USA, Australia, and India, we are known for our innovative solutions in web development, eCommerce, and mobile applications. Our mission is to deliver cutting-edge digital experiences through craftsmanship and technology. Role Overview: We re looking for an experienced and motivated Senior Backend Developer with strong expertise in Golang, PHP, and Node.js. You will lead the backend development of scalable systems, architect microservices, and work hands-on with AWS infrastructure. This role demands strong technical leadership and the ability to collaborate with cross-functional teams and international clients. Key Responsibilities: Design, develop, and maintain robust backend services primarily using Golang. Architect microservices-based systems following best practices and scalable design patterns. Develop and manage AWS infrastructure using CloudFormation templates. Take ownership of assigned features and deliver high-quality, production-ready code with minimal supervision. Collaborate with cross-functional teams including frontend developers, DevOps, and project managers. Communicate directly with clients to understand project requirements and propose effective solutions. Conduct thorough code reviews, optimize system performance, and ensure adherence to coding standards. Mentor junior developers and contribute to documentation and knowledge sharing. Required Skills: 5+ years of hands-on backend development experience using Golang, PHP, and Node.js in production environments. Strong understanding of backend architecture and design patterns. Proven experience in developing and maintaining microservices architectures. Solid experience working with AWS services and CloudFormation templates for infrastructure automation. Experience with API Gateway, Lambda, MySQL, and DynamoDB is a plus. Ability to take full lifecycle ownership from requirement gathering to deployment. Excellent verbal and written communication skills, with the ability to interface with both technical and non-technical stakeholders. Work on complex and challenging backend projects using modern technologies. Collaborate with a global team and gain exposure to international projects. Enjoy a flexible, inclusive, and innovation-driven work culture. Opportunity to grow into technical leadership roles.

Job Title: Shopify Team Lead Location: Ahmedabad Qualification: Any Graduate Experience: 6+ Years About Bytes Technolab: Bytes Technolab is a full-range web application development company established in 2011, with an international footprint across the USA, Australia, and India. We pride ourselves on delivering cutting-edge web development, eCommerce solutions, and mobile applications with top-tier craftsmanship. Roles & Responsibilities: Oversee the entire lifecycle of Shopify site development, from initial planning through to deployment and ongoing maintenance. Manage and optimize Shopify Plus stores for performance, scalability, and reliability. Collaborate closely with marketing teams to design and implement conversion-focused landing pages. Continuously update and optimize website content to enhance customer experience and boost conversion rates. Ensure all code adheres to best practices for speed, scalability, and security. Seamlessly integrate Marketing Tools, Platform APIs, and Shopify Apps to maximize store functionality and performance. Lead page speed optimization initiatives and resolve any performance bottlenecks. Participate actively in team meetings, sharing insights to improve user experience and site efficiency. Lead client communications gathering requirements, managing expectations, and providing strategic solutions aligned with business goals. Skills Required: 6+ years of hands-on experience with Shopify, including Shopify Plus and custom development. Deep expertise with Shopify s Admin System. Proven experience with custom theme development, especially on Shopify Plus with advanced customer fields. Strong knowledge of Shopify APIs and app development. Experience integrating third-party Shopify apps and APIs. Proficient with Git and version control workflows. Strong understanding of SEO and web development best practices. Experience with server and DNS management. Familiarity with related web technologies such as PHP, React, or Node.js. Experience in user testing and usability analysis. Good grasp of UX/UI concepts and best practices. Excellent communication, collaboration, and problem-solving skills.

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

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

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

Job Title: DevOps Lead Experience: 8+ Years Job Role & Responsibilities Collaborate with teams to design, build, and deliver solutions implementing serverless, microservices-based, IaaS, PaaS, and containerized architectures in AWS, Azure, and GCP cloud environments. Develop reusable and parameterized Infrastructure as Code (IaC) templates for the automated deployment of cloud resources using Terraform and/or CloudFormation. Build and manage CI/CD pipelines using AWS CodeBuild, CodeDeploy, CodePipeline, and equivalent tools in Azure DevOps and Google Cloud Build. Integrate 3rd party tools with CI/CD processes (e.g., SonarQube). Perform configuration management using industry-standard DevOps tools (e.g., Ansible). Implement scripting to enhance build, deployment, and monitoring processes using PowerShell, Bash, or Python. Work with Windows and Linux systems in cloud environments. Install, configure, and manage DevOps tools across AWS, Azure, and GCP. Required Skills 8+ years of senior-level experience in AWS, Azure, and GCP in a DevOps or Engineering role, with a proven track record in client communications and project management. Strong leadership and team management skills, including mentoring junior team members. Expertise in DevOps tools and concepts, including Docker, Kubernetes (K8s), Terraform, and multi-cloud environments. Ability to develop and lead CI/CD pipelines using AWS, Azure, and GCP-native tools. Strong understanding of Cloud Networking, including VPCs, NSGs, DNS, and Routing. In-depth knowledge of Linux and Windows operating systems, including endpoint protection. Experience diagnosing and troubleshooting complex system and application issues, with the ability to provide strategic solutions. Exceptional problem-solving, analytical, and critical thinking skills. Excellent communication and interpersonal skills, with the ability to manage client relationships and explain technical concepts to non-technical stakeholders.

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

Position: Senior Engineer/Technical Lead (DevOps Engineer - Azure) Job Description: Key Responsibilities: Azure Cloud Management: Design, deploy, and manage Azure cloud environments. Ensure optimal performance, scalability, and security of cloud resources using services like Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, Azure Storage, and Azure SQL Database. Automation & Configuration Management: Use Ansible for configuration management and automation of infrastructure tasks. Implement Infrastructure as Code (IaC) using Azure Resource Manager (ARM) templates or Terraform. Containerization: Implement and manage Docker containers. Develop and maintain Dockerfiles and container orchestration strategies with Azure Kubernetes Service (AKS) or Azure Container Instances. Server Administration: Administer and manage Linux servers. Perform routine maintenance, updates, and troubleshooting. Scripting: Develop and maintain Shell scripts to automate routine tasks and processes. Helm Charts: Create and manage Helm charts for deploying and managing applications on Kubernetes clusters. Monitoring & Alerting: Implement and configure Prometheus and Grafana for monitoring and visualization of metrics. Use Azure Monitor and Azure Application Insights for comprehensive monitoring, logging, and diagnostics. Networking: Configure and manage Azure networking components such as Virtual Networks, Network Security Groups (NSGs), Azure Load Balancer, and Azure Application Gateway. Security & Compliance: Implement and manage Azure Security Center and Azure Policy to ensure compliance and security best practices. Required Skills and Qualifications: Experience: 5+ years of experience in cloud operations, with a focus on Azure. Azure Expertise: In-depth knowledge of Azure services, including Azure Virtual Machines, Azure Kubernetes Service, Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, Azure Monitor, Azure Application Insights, and Azure Security Center. Automation Tools: Proficiency in Ansible for configuration management and automation. Experience with Infrastructure as Code (IaC) tools like ARM templates or Terraform. Containerization: Hands-on experience with Docker for containerization and container management. Linux Administration: Solid experience in Linux server administration, including installation, configuration, and troubleshooting. Scripting: Strong Shell scripting skills for automation and task management. Helm Charts: Experience with Helm charts for Kubernetes deployments. Monitoring Tools: Familiarity with Prometheus and Grafana for metrics collection and visualization. Networking: Experience with Azure networking components and configurations. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues. Communication: Excellent communication skills, both written and verbal, with the ability to work effectively in a team environment. Preferred Qualifications: Certifications: Azure certifications (e.g., Azure Administrator Associate, Azure Solutions Architect) are a plus. Additional Tools: Experience with other cloud platforms (AWS, GCP) or tools (Kubernetes, Terraform) is beneficial. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services "

Job Title: 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 (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 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.

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

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

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

Roles and Responsibilities Develop and Maintain Web Applications: Using CodeIgniter Code Optimization and Performance Tuning Debugging and Troubleshooting Issues Collaborate with Cross-functional Teams: Designers, frontend developers Write Clean, Well-documented Code Participate in Code Reviews Job Requirements Proficient in PHP and CodeIgniter Framework Experience with Frontend Technologies: HTML, CSS, JavaScript, jQuery Database Management: MySQL, SQL queries, database design API Integration: RESTful services, third-party API integration , GraphQL Version Control Systems: Git or similar Basic Understanding of MVC Architecture Shopify Theme Customization Knowledge

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).