Kubernetes Engineer Jobs in Ahmedabad

Job Title: Software Engineer Location: Ahmedabad Employment Type: Full-Time Experience Required: 2+ Years Position Overview: We are seeking a skilled Software Engineer with strong expertise in C# and .NET technologies to join our development team in Ahmedabad. The ideal candidate will have hands-on experience in building scalable applications, working in agile environments, and contributing to both high-level architecture and detailed design. Key Responsibilities: Develop and maintain applications using C# with strong OOPS principles Work with .NET Framework 4.0 and above, including ASP.NET Web API and RESTful services Participate in agile development processes, collaborating effectively with cross-functional teams Design and implement technical solutions based on high-level architecture and low-level design patterns Utilize version control systems such as Git/GitHub for source code management Troubleshoot and resolve technical issues to ensure high-quality deliverables Communicate effectively with team members and stakeholders Required Skills & Qualifications: Strong understanding of Object-Oriented Programming (OOPS) concepts in C# Experience with .NET Framework 4.0+ and ASP.NET Web API development Familiarity with RESTful API design and implementation Knowledge of agile methodologies and working in agile teams Basic understanding of version control tools (Git/GitHub) Excellent problem-solving, analytical, and communication skills Good to Have: Knowledge of Identity Framework for authentication and authorization Experience with MongoDB or NoSQL databases Understanding of Microservices architecture Exposure to .NET Core framework

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

Software Engineer .NET Developer (Ahmedabad, Gujarat) Location: Ahmedabad, Gujarat Job Type: Full-Time Experience Required: 1 to 7 years Qualification: Bachelor s degree in Information Technology, Computer Science, or related field Salary: Commensurate with experience and qualifications Notice Period: Immediate joiners preferred Job Overview We are looking for a skilled and motivated Software Engineer with strong experience in .NET/.NET Core development to join our dynamic tech team in Ahmedabad, Gujarat. The ideal candidate will have hands-on expertise in C#, SQL Server, and modern web technologies such as HTML, CSS, and JavaScript, along with experience building RESTful APIs and working with front-end frameworks like Angular, React, or Node.js. Key Responsibilities Design, develop, and maintain web applications using .NET Core / .NET Framework and C#. Build responsive, cross-browser compatible user interfaces with HTML5, CSS3, and JavaScript. Develop and optimize T-SQL stored procedures and work with relational databases like Microsoft SQL Server. Implement and consume Web APIs / RESTful services. Write clean, maintainable, and scalable code following standard coding practices. Participate in the Software Development Life Cycle (SDLC) using Agile methodologies. Collaborate with cross-functional teams including QA, DevOps, and UI/UX designers. Debug and resolve application issues in development and production environments. Required Skills and Qualifications Proficiency in C# and object-oriented programming concepts. Strong knowledge of .NET / .NET Core frameworks. Experience with Microsoft SQL Server and T-SQL scripting. Hands-on experience with Web API and REST architecture. Familiarity with Agile development practices and DevOps tools. Exposure to cloud platforms such as Microsoft Azure. Working knowledge of modern JavaScript frameworks like Angular, React, or Node.js. Experience with Microsoft 365 (O365), Microsoft Teams Development, and test-driven development (TDD) is a plus. Preferred Candidate Profile IT graduate with a passion for building high-quality software solutions. Strong problem-solving and debugging skills. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies. Apply now to become part of a forward-thinking company offering excellent growth opportunities in the software development industry in Ahmedabad. Qualification : Bachelors degree in Information Technology, Computer Science, or related field

Pre-Sales Engineer Full-Time | Ahmedabad, India Location: Ahmedabad, Gujarat Employment Type: Full-Time | On-Site Experience Required: 2 to 5 years Qualification: Any Graduate (IT/Computer Science preferred) Salary: Competitive, based on candidate s experience Notice Period: Immediate joiners preferred Job Summary We are seeking a skilled Pre-Sales Engineer with strong experience in Microsoft Office 365 (M365), Enterprise Mobility Suite (EMS), and cloud technologies to join our dynamic sales and technical team in Ahmedabad. You will serve as a solution evangelist, promoting our cloud and IT service offerings, working closely with customers to analyze their needs, design tailored cloud solutions, and support the sales lifecycle. Key Responsibilities Lead pre-sales activities by demonstrating and promoting the company s cloud and IT products, including Office 365, Azure, and hybrid cloud solutions. Collaborate with clients to understand business requirements and design customized cloud migration and disaster recovery solutions (public and private cloud). Act as a trusted solution architect to enterprise clients, guiding them through cloud adoption strategies and best practices. Prepare and present detailed solution documents including Design Documents, Scope of Work (SoW), architecture diagrams, and Bill of Materials (BoM) for cloud services and managed IT hardware. Analyze customer environments and define logical workflows for Office 365 deployments and migrations. Provide expert consultation on Office 365, Azure, Active Directory (AD), Azure AD, and related hybrid/on-premises integrations. Hands-on experience with migrating servers, databases, and storage solutions to Azure and Office 365 platforms. Support product teams by providing insights to launch new cloud services and value-added offerings. Basic knowledge of Linux OS to assess and address client requirements. Understand implications of cloud commercialization, licensing, and pricing models. Familiarity with AWS cloud services is a plus. Required Skills & Qualifications Minimum 2 to 5 years of experience in a pre-sales engineer or solution architect role, preferably focused on Microsoft cloud technologies. Strong hands-on knowledge of Office 365/Microsoft 365, Microsoft Teams, and EMS. Proficient in communicating complex technical solutions clearly to both technical and non-technical stakeholders. Experience with cloud migration projects involving Azure and Office 365 environments. Sound understanding of Active Directory Domain Services, Federation Services, and directory synchronization to Azure AD. Good command of spoken and written English with professional presentation skills. Bachelor s degree in IT, Computer Science, or related field preferred. Work with cutting-edge Microsoft cloud technologies and participate in digital transformation projects. Collaborate with a talented team of cloud professionals and product experts. Opportunity for growth and development in a fast-evolving technology landscape. Competitive salary and benefits package based on your experience. Apply today to advance your career as a Pre-Sales Engineer specializing in Microsoft cloud solutions in Ahmedabad! Qualification : Bachelors degree in IT, Computer Science, or related field preferred.

System Engineer Full-Time | Ahmedabad, India Location: Ahmedabad, Gujarat Employment Type: Full-Time | On-site Experience Required: 1 to 5 years Qualification: Any Graduate with IT background or equivalent Salary: Competitive, based on experience Notice Period: Immediate joiners preferred Job Summary We are looking for a skilled System Engineer to manage and support our Windows Server environments, Office 365, and Azure cloud services. The ideal candidate will have hands-on experience in server administration, Active Directory design, and migration, along with basic knowledge of PowerShell scripting and networking fundamentals. This role offers an excellent opportunity to grow your career in IT infrastructure management within a fast-paced environment in Ahmedabad. Key Responsibilities Manage and maintain Windows Servers, ensuring optimal performance and security. Provide basic to advanced support for server operations, including troubleshooting and issue resolution. Administer Office 365 and provide support for related services. Assist with Azure cloud platform tasks and basic cloud service management. Configure and manage Active Directory Federation Services (ADFS) and design Active Directory environments. Perform server backups and restore configurations to ensure data integrity. Manage Exchange Servers for smooth email operations. Plan and execute server migrations and implement new servers or services based on organizational requirements. Utilize PowerShell scripting for automation and server management tasks. Collaborate with the network team to maintain a solid understanding of networking protocols and infrastructure. Document processes and maintain technical documentation for system configurations and procedures. Required Skills & Qualifications 1 to 5 years of experience in system administration with Windows Servers and related technologies. Working knowledge of Office 365 administration and Azure basics. Experience with Active Directory, ADFS, and Exchange Server management. Familiarity with PowerShell scripting for automation and task efficiency. Clear understanding of networking concepts and protocols. Strong problem-solving skills and ability to manage server issues proactively. Good command of written and spoken English communication. Relevant Microsoft certifications (e.g., MCSA, AZ-900) are a plus. Work with a dynamic IT infrastructure team in Ahmedabad. Exposure to hybrid on-premises and cloud environments (Office 365 & Azure). Opportunity for professional growth and certification support. Competitive salary and a collaborative workplace culture. Qualification : Any Graduate with IT background or equivalent

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: 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.

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.

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

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

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: 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.

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

Job Description : Mandatory Skills: Shell scripting Azure DevOps Pipelines End-to-End Release Management CI/CD tools (Jenkins, Azure DevOps) SonarQube Terraform, Ansible, ARM templates Containerization (Docker, Kubernetes) Monitoring tools (Azure Monitor, Prometheus, Grafana) Azure permissions and user management Azure DevOps dashboards for KPIs and release status tracking Preferred Skills: DevOps practices Cloud Platforms (Azure, AWS, GCP) Version Control (Git, GitHub, GitLab) Infrastructure as Code (IaC) Role and Responsibilities: Develop and maintain CI/CD pipelines using Azure DevOps Oversee end-to-end release management, including deployment and rollback strategies Automate infrastructure provisioning using Terraform, Ansible, or ARM templates Manage Docker and Kubernetes containerized environments Implement DevOps practices and security in the CI/CD pipeline Build and manage Azure DevOps dashboards for key performance indicators and release statuses Oversee and manage Azure permissions, user access, and workflow configuration Managerial/Behavioral Skills: Strong collaboration and communication skills Ability to work effectively across development, QA, and operations teams Good troubleshooting and problem-solving abilities Project specific work requirements: Oversee full release management lifecycle Automate infrastructure provisioning Manage and monitor containerized environments Implement and manage Azure DevOps boards, user access, permissions, and workflows Collaborate with cross-functional teams to ensure smooth deployment and scaling

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).

Description We are looking for DevOps Architect to join our engineering team in Ahmedabad & Pune. The primary responsibility will be to help design and develop Enterprise Software for our Global Fortune 500 clients in Data Analytics, Security and Cloud segments. The job requires candidates who can architect and design Infrastructure on cloud technologies such as Azure/AWS and DevOps procedures. Responsibilities Responsible for providing expertise in software development life cycle, from concept, architecture, design, implementation, & testing. Leading & mentoring small sized team. Ensuring the code reviews & development best practices / processes to be followed. Be part of regular client communication. Estimates efforts , identify risks & provide technical support whenever needed. Ensures effective people management (performance reviews & feedback at very minimal level) & task management for smooth execution. Demonstrates ability to multitask & re-prioritize responsibilities based on dynamic requirements. Requirements 6+ years of relevant experience in DevOps architecture. Can architect and design Infrastructure (Azure/AWS) and DevOps procedures and implement it Should possess in depth knowledge of Cloud Technologies - Azure/AWS Strong Hands-on working experience on DevOps technologies like CD/CI, infrastructure automation, Infrastructure as a code, containerization, and orchestration. Tools like Jenkins, Ansible, Puppet, Chef, Docker, Kubernetes, etc. 4+ years of experience in managing Linux based infrastructure Good understanding of networking & cloud security. Hands-on working experience on Web Servers like Apache, Nginx, Tomcat Scripting knowledge like Shell, bash, python, Perl Working experience on clusters and high Availability solution Good understanding of Java and Python Applications implementation Working experience on Databases like MySQL, PostgreSQL, MongoDB, etc. Very good understanding and logical skills Can work independently and with Team Problem-solving attitude Strong verbal and written communication skills Operational experience and Azure/AWS Cloud Certification will be good to have Qualification : 6+ years of relevant experience in DevOps architecture.

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