AWS Engineer Jobs in Ahmedabad

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.

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

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

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

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

Job Title: Python Developer About Metizsoft What You'll Do: As a Python Developer at Metizsoft, you'll play a crucial role throughout the entire software development lifecycle. Your responsibilities will include: Developing, testing, and maintaining robust and scalable software using the Python programming language. Actively participating in all stages of software development, from building to testing and delivering exceptional solutions. Collaborating with cross-functional teams to tackle complex challenges and innovate. Writing clean, efficient, and reusable code that is easy to maintain and scale for future growth. What We're Looking For: We're searching for a Python Developer with a strong technical background and a collaborative spirit. Here are the key skills and qualifications we require: 3+ years of experience as a Python Developer with a proven track record of successful projects. A Bachelor's degree in Computer Science, Software Engineering, or a related technical field. In-depth understanding of the Python software development ecosystem, including frameworks and tools like Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, and PyTorch. Experience with front-end development technologies such as HTML, CSS, and JavaScript. Familiarity with various database technologies, including both SQL and NoSQL. Exceptional problem-solving abilities combined with strong communication and collaboration skills. Hands-on experience with popular Python frameworks like Django, Flask, or Pyramid. Knowledge of data science and machine learning concepts and tools is a significant plus. A working understanding of cloud platforms such as AWS, Google Cloud, or Azure. Contributions to open-source Python projects or active involvement in the Python community are highly valued. At Metizsoft, we foster a challenging and enjoyable collaborative culture that supports long-term career growth. We believe in empowering our team members and providing them with opportunities to excel. If you're ready to make an impact and grow with a dynamic company, explore this career opportunity with Metizsoft! Qualification : A Bachelor's degree in Computer Science, Software Engineering, or a related technical field.

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.

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: Senior Software Engineer .NET Location: Ahmedabad Job Type: Permanent Education: Any IT Graduates Experience: 3-6 years Openings: 2 Roles & Responsibilities: We are looking for a highly skilled and motivated .NET Full Stack Developer to join our dynamic development team. As a Senior Software Engineer .NET, you will be responsible for building and maintaining robust, scalable, and high-performance web applications using .NET Core/ASP.NET MVC and Angular. You will work on both front-end and back-end components, ensuring seamless integration and a seamless user experience. Your responsibilities will include: Application Development & Maintenance: Design, develop, and maintain web applications using .NET Core, ASP.NET MVC, and Angular. Develop and implement server-side logic and APIs using .NET technologies. Build responsive and user-friendly interfaces using Angular, ensuring seamless cross-browser compatibility. Collaboration & Feature Implementation: Collaborate with cross-functional teams to define, design, and deliver new features for web applications. Translate user requirements into effective, scalable solutions while maintaining the highest quality standards. Code Quality & Optimization: Write clean, scalable, and efficient code that adheres to best practices and coding standards. Participate in code reviews to maintain code quality, consistency, and best practices across the team. Troubleshooting & Debugging: Troubleshoot, debug, and optimize applications to ensure the best possible performance and responsiveness. Ensure that applications are efficient, secure, and fully functional under various usage scenarios. Performance & Security: Optimize applications for speed, scalability, and user experience. Implement security and data protection measures to safeguard sensitive information and ensure compliance with relevant regulations. Continuous Improvement: Stay up to date with industry trends, technologies, and best practices to ensure the applications are modern, efficient, and secure. Contribute to the continuous improvement of the development process, including tools, frameworks, and methodologies. Skills Required: Technical Expertise: Proficiency in .NET Core, ASP.NET MVC, and Angular for both front-end and back-end development. Experience with Web API, RESTful services, and server-side logic development. Hands-on experience with HTML, CSS, JavaScript, and other front-end technologies. Familiarity with database management (SQL Server, MySQL, etc.) and ORMs like Entity Framework. Code Quality & Practices: Knowledge of version control systems, preferably Git. Experience with unit testing and test-driven development (TDD). Ability to write clean, maintainable code that follows industry best practices. Problem-Solving & Debugging: Strong analytical and problem-solving skills with the ability to troubleshoot complex application issues. Experience in performance tuning, optimization, and debugging. Soft Skills: Strong communication skills, with the ability to collaborate effectively with team members, business stakeholders, and clients. Ability to work independently and as part of a collaborative team in a fast-paced, agile environment. Additional Skills: Familiarity with DevOps practices, CI/CD pipelines, and cloud services (Azure, AWS, etc.) is a plus. Experience in implementing security measures and data protection strategies. Qualification : Any Graduate / Post Graduate

Responsibilities: Develop and maintain the architectural design of our SaaS products, ensuring they are scalable, reliable, and performant. Work closely with engineering teams to implement architectural designs correctly and meet business requirements. Provide guidance and best practices on system design, coding standards, and technology choices. Create and maintain comprehensive architectural documentation and diagrams. Analyze and optimize system performance, identifying and addressing bottlenecks. Troubleshoot and resolve complex technical issues related to system design and integration. Stay up-to-date with industry trends and emerging technologies, recommending improvements to enhance system capabilities. Qualifications: Minimum of 2 years of experience as a System Architect or in a similar role, with a focus on SaaS applications. Proficiency in designing and implementing scalable systems using modern technologies and frameworks; experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. Strong coding skills in one or more languages commonly used in SaaS development (e.g., Java, Python, C#). Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Strong analytical and problem-solving abilities, with a track record of addressing complex system issues.

We are looking for a candidate with a blend of technical skills and practical GIS experience. JOB RESPONSIBILITIES: Design, develop, and deploy interactive GIS web applications using Esri technologies. Work with ArcGIS API for JavaScript, ArcGIS Server, ArcGIS Online, and Web AppBuilder to create web mapping solutions. Develop and customize widgets and tools for GIS applications. Integrate GIS applications with databases (PostGIS, SQL Server, etc.) and external APIs. Optimize GIS applications for performance, scalability, and user experience. Troubleshoot and debug GIS web applications. Work closely with GIS analysts, UI/UX designers, and software engineers to implement mapping solutions. Maintain security best practices for web-based GIS applications. SKILLS REQUIRED: Proficiency in ArcGIS API for JavaScript, Esri Web AppBuilder, and ArcGIS Online. Strong experience with HTML5, CSS3, JavaScript, and TypeScript. Familiarity with front-end frameworks such as React, Angular, or Vue.js. Experience with Python (ArcPy, Flask, Django) or Node.js for backend GIS development. Knowledge of REST APIs, GeoJSON, and GIS web services. Experience working with spatial databases (PostGIS, SQL Server, or Oracle Spatial). Familiarity with cloud platforms like AWS, Azure, or Google Cloud for GIS deployment. Strong problem-solving skills and the ability to work independently or in a team. Experience with Esri Experience Builder and ArcGIS Enterprise. Knowledge of OpenLayers, Leaflet, or Mapbox. Familiarity with Agile development and version control (Git, GitHub, or GitLab). Experience developing mobile-friendly GIS applications. Qualification : MCA,BE/B.Tech, BCA,M.Tech,Diploma-IT, BSC-IT.

Job Description We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs), machine learning, data engineering, and product development. The ideal candidate will drive the development of intelligent, scalable, and ethical AI solutions while leveraging cutting-edge technologies to solve complex challenges. Required Qualifications Expertise in LLMs, machine learning, and data engineering. Knowledge of transformer architectures and deep learning models like CNNs and RNNs. Strong in Python and JavaScript; familiarity with C++ and Java is a plus. Experience with TensorFlow, PyTorch, and Keras for AI model development. Proficient in building scalable data pipelines and performing data preprocessing. Familiarity with AWS, Google Cloud, or Azure for scalable deployments. Understanding of CI/CD practices for automating AI workflows. Awareness of AI ethics, including bias mitigation and fairness principles. Strong analytical and problem-solving skills with adaptability to new technologies. Roles and Responsibilities Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG). Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras. Create scalable data pipelines using Apache Spark, Hadoop, and SQL. Conduct data preprocessing, including cleaning, transformation, and feature engineering. Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows. Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices. Develop generative models like GANs for synthetic data generation and analysis. Ensure ethical AI design by mitigating bias and promoting fairness. Troubleshoot and optimize AI systems for performance and scalability.

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

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

We are seeking a talented Node.js TypeScript Developer to join our growing team. The ideal candidate will have a strong background in developing scalable applications using Node.js and TypeScript, as well as hands-on experience with AWS services, including Lambda, API Gateway, DynamoDB, and OpenSearch. You will be responsible for designing, developing, and maintaining serverless applications and APIs that support our business needs. Roles & Responsibilities: Design and develop serverless applications using Node.js and TypeScript. Implement and manage APIs using AWS API Gateway. Create and optimize DynamoDB data models and queries for efficient data access. Integrate OpenSearch for advanced search capabilities within applications. Collaborate with cross-functional teams to define, design, and deliver new features. Write clean, maintainable, and well-documented code. Conduct code reviews and provide constructive feedback to peers. Troubleshoot and debug applications to ensure high performance and reliability. Stay updated with the latest industry trends and technologies related to AWS and serverless architecture. Requirement: Bachelor s degree in Computer Science, Engineering, or a related field. Proven experience with Node.js and TypeScript. Strong understanding of AWS services, particularly Lambda, API Gateway, DynamoDB, and OpenSearch. Experience with serverless architecture and microservices. Familiarity with RESTful APIs and web services. Knowledge of CI/CD processes and tools (e.g., AWS CodePipeline, Jenkins). Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Knowledge of containerisation technologies (e.g., Docker). Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK Stack). Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

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

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).