Azure jobs

Senior .NET Developer (Remote) Location: India (Remote / Work From Home) Experience: 7+ Years Work Mode: Full-Time | Remote Job Summary We are seeking a highly skilled and experienced Senior .NET Developer to join our remote development team. The ideal candidate will bring deep expertise in C#, ASP.NET, MVC, Web API, and front-end technologies like Angular, along with hands-on experience in cloud platforms, microservices, and modern DevOps practices. If you are passionate about building scalable web applications and working in a collaborative remote environment, we want to hear from you. Key Responsibilities Backend Development Design, develop, and maintain server-side applications using C#, ASP.NET, MVC, and Web API. Architect scalable, secure, and high-performance backend systems. Front-End Development Build responsive and dynamic user interfaces using Angular, HTML5, CSS3, JavaScript, and jQuery. Collaborate with UI/UX designers to implement clean and modern designs. Database Management Design and manage database schemas using SQL Server or other relational databases. Write optimized queries, stored procedures, and indexing strategies. Cloud & Microservices Deploy and manage applications on Azure or AWS. Build and maintain microservices and use Docker for containerization. Code Quality & Collaboration Write clean, maintainable, and testable code. Conduct code reviews and participate in unit testing and performance tuning. Use Git for version control and collaborative development. CI/CD & DevOps Contribute to CI/CD pipelines to streamline code integration and deployment. Support infrastructure automation and monitoring practices. Documentation & Best Practices Create and maintain clear documentation for application features, integration points, and development processes. Ensure adherence to best coding practices, architecture standards, and security protocols. Required Skills C# Advanced knowledge of server-side development. ASP.NET / MVC Proven expertise in building scalable web applications. Web API Strong understanding of RESTful services. SQL Server Database design and query optimization. Angular Solid experience with Angular (any version). HTML5 / CSS3 Front-end development for responsive design. JavaScript / jQuery Enhancing web UI functionality. Git Proficient in code versioning and collaboration workflows. Cloud Platforms Basic to intermediate experience with Azure or AWS. Microservices & Docker Understanding of modern architectures and containerization tools. Preferred Skills CI/CD Tools Exposure to Jenkins, GitHub Actions, Azure DevOps, etc. DevOps Practices Infrastructure as Code, monitoring, and automation. SEO Fundamentals Basic SEO knowledge for web performance and visibility. 100% Remote Work from anywhere in India Opportunity to work on enterprise-grade and high-performance web applications Professional development and upskilling opportunities Collaborative and transparent work culture High-impact role with visibility in a fast-growing tech team Apply Now

Sr. Big Data Engineer Location: India The Impact You Will Have: You will work on a variety of impactful customer technical Big Data projects, which may include building reference architectures, how-to's and production-grade MVPs. Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Consult on architecture and design; bootstrap or implement strategic customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues. What We Look For: 10+ years experience with Big Data Technologies such as Apache Spark , Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. 6+ years of experience working on Big Data Architectures independently. Strong experience working in the Databricks ecosystem. Comfortable writing code in either Python or Scala. Experience working across Cloud Platforms (GCP / AWS / Azure). Documentation and white-boarding skills. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Job Title: Python Developer Job Type: Full Time About Us: We are looking for a skilled Python Developer to join our team and contribute to the development of high-quality software solutions. The ideal candidate will have solid expertise in Python programming, backend development, and API integrations, and will work on building scalable, efficient applications. Key Responsibilities: Develop, test, and maintain scalable Python applications. Design and integrate RESTful APIs and microservices. Optimize code for performance, scalability, and maintainability. Work with databases such as MySQL, PostgreSQL, or NoSQL solutions. Debug and resolve software issues efficiently to ensure high-quality results. Collaborate with cross-functional teams to deliver robust software solutions and ensure smooth deployment and integration. Preferred Qualifications: Proficiency in Python frameworks such as Django, Flask, or FastAPI. Experience with cloud platforms (AWS, Azure, GCP). Strong understanding of version control (Git, GitHub). Familiarity with containerization technologies such as Docker and Kubernetes. Prior experience in AI/ML development is a plus, but not required. Ability to work on multiple projects simultaneously in an Agile environment. Strong problem-solving skills and ability to troubleshoot and resolve technical issues. Desired Skills: Solid understanding of RESTful architecture and microservices. Experience with deploying applications in cloud environments (AWS, GCP, or Azure). Familiarity with CI/CD pipelines and automated testing. Knowledge of best practices for maintaining and securing Python applications.

Job Title: Data Scientist (AI & ML Specialist) Job Type: Full Time Job Description: We are looking for a Data Scientist specializing in AI & ML to join our team. The ideal candidate will be responsible for analyzing complex datasets, building predictive models, and driving AI-powered insights to develop business solutions. You will play a key role in enhancing our AI and machine learning capabilities to solve real-world challenges. Key Responsibilities: Develop, optimize, and implement machine learning models for real-world applications. Perform data preprocessing, feature engineering, and statistical analysis to prepare datasets for modeling. Work with big data frameworks and AI algorithms to derive meaningful insights. Deploy AI and ML models into production environments ensuring scalability and reliability. Collaborate with software engineers and domain experts to continuously improve model performance. Provide actionable insights to guide business decisions and solve complex problems. Participate in research to enhance model capabilities and stay up-to-date with AI advancements. Preferred Qualifications: Proficiency in Python, R, TensorFlow, PyTorch, or Scikit-Learn. Strong experience with Natural Language Processing (NLP), computer vision, or deep learning. Familiarity with cloud AI services such as AWS SageMaker, Google AI, or Azure ML. Expertise in data visualization and the ability to present findings through storytelling. Knowledge of MLOps and model deployment strategies for scaling solutions. Strong problem-solving skills and an ability to think critically about data and business problems. Ability to work collaboratively in a cross-functional team and effectively communicate technical concepts. Desired Skills: Experience in AI model interpretability and explainability. Familiarity with reinforcement learning and its applications. Knowledge of model evaluation metrics and model optimization techniques.

Job Title: AI Engineer Job Type: Full Time Job Description: We are seeking an AI Engineer to join our team, responsible for building intelligent systems that leverage deep learning, NLP, and AI-driven automation. The ideal candidate will have experience in developing AI-powered applications and optimizing machine learning models for real-time processing. Key Responsibilities: Develop and deploy AI-powered applications using machine learning models. Implement and fine-tune deep learning models for applications in NLP, computer vision (CV), and recommendation systems. Optimize AI pipelines to ensure efficient and scalable real-time processing. Collaborate closely with software engineers and data scientists for seamless end-to-end integration of AI solutions into production environments. Continuously evaluate and improve the performance and accuracy of AI models. Stay up-to-date with the latest advancements in AI technologies and implement them in practical applications. Preferred Qualifications: Strong background in Python, and hands-on experience with frameworks such as TensorFlow, PyTorch, or Hugging Face. Experience in deploying AI models using tools like Docker, Kubernetes, or cloud platforms (e.g., AWS, Azure). Deep understanding of ethical AI and responsible AI practices to ensure fairness, transparency, and accountability in AI systems. Ability to work in a collaborative, fast-paced environment to deliver high-quality solutions. Desired Skills: Experience with reinforcement learning or generative models. Familiarity with building and maintaining AI pipelines and working with large datasets. Knowledge of AI interpretability and model explainability techniques.

Job Title: AI Software Engineer Job Type: Full Time Job Description: As an AI Software Engineer, you will be responsible for designing and developing AI-powered software applications that drive innovation and automation. You will work with cutting-edge AI technologies to deliver smart, scalable solutions that optimize processes and enhance software performance. Key Responsibilities: Develop and deploy AI-driven solutions in software applications to enhance functionality and user experience. Implement machine learning algorithms for predictive analytics and decision-making processes. Work with AI APIs and SDKs to integrate intelligent features into applications. Optimize software performance for AI workloads, ensuring scalability and efficiency in production environments. Collaborate with cross-functional teams to ensure AI solutions meet business requirements and objectives. Continuously monitor and improve the performance of AI-driven applications. Preferred Qualifications: Strong programming skills in Python, Java, or C++. Experience with AI model deployment and cloud-based AI solutions (e.g., AWS, Azure, GCP). Familiarity with DevOps practices for AI software scalability, ensuring efficient integration and continuous delivery. Knowledge of AI frameworks (TensorFlow, PyTorch) and their integration into software applications. Desired Skills: Experience in building and maintaining AI APIs and microservices. Familiarity with containerization technologies like Docker and Kubernetes for deploying AI models. Strong problem-solving skills with an emphasis on optimizing software performance for AI tasks.

Job Title: AI Backend Developer Job Type: Full Time Job Description: We are hiring an AI Backend Developer to build and maintain backend services that power AI applications. As an AI Backend Developer, you will work on the server-side development, ensuring that the backend infrastructure supports seamless and efficient AI model integration and real-time data processing. Key Responsibilities: Develop APIs and backend logic that enable AI-powered systems to function seamlessly. Optimize database performance to handle AI workloads and support efficient data processing. Integrate AI/ML models into scalable backend architectures to ensure they run smoothly in production environments. Ensure secure and efficient data processing for AI-driven applications. Collaborate with AI engineers and front-end developers to deliver high-performing solutions. Monitor and maintain backend systems to ensure optimal performance and availability. Preferred Qualifications: Proficiency in Python, Node.js, or Golang. Experience with cloud platforms (AWS, GCP, Azure) and serverless computing solutions. Knowledge of microservices and API development to ensure efficient and scalable backend architectures. Experience with containerization technologies like Docker and Kubernetes is a plus. Strong understanding of database technologies (SQL and NoSQL) and their integration with AI models. Desired Skills: Familiarity with machine learning pipelines and how backend services support AI/ML model deployment. Knowledge of best practices for securing AI-related data and ensuring compliance with privacy regulations. Strong problem-solving and analytical skills to tackle complex challenges in backend development.

Key Accountabilities: Using Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting. If necessary, create prototypes to validate proposed ideas and solicit input from stakeholders. Excellent grasp of and expertise with test-driven development and continuous integration processes. Analysis and Design Converts high-level design to low-level design and implements it. Collaborate with Team Leads to define/clarify business requirements, estimate development costs, and finalize work plans. Run unit and integration tests on all created code Create and run unit and integration tests throughout the development lifecycle. Benchmark application code proactively to prevent performance and scalability concerns. Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management. Support and Troubleshooting Assist the Operations Team with any environmental issues that arise during application deployment in the Development, QA, Staging, and Production environments. Assist other teams in resolving issues that may develop as a result of applications or the integration of multiple components. Knowledge and Experience: Understanding of design concepts and architectural basics. Knowledge of performance engineering. Understanding of quality processes and estimate methods. Fundamental grasp of the project domain. The ability to transform functional and nonfunctional needs into system requirements. The ability to develop and code complicated applications is required. The ability to create test cases and scenarios based on specifications. Solid knowledge of SDLC and agile techniques. Knowledge of current technology and trends. Logical thinking and problem-solving abilities, as well as the capacity to collaborate. Primary skills: Cloud Platform, Azure, Databricks, ADF, ADO. Sought: SQL, Python, PowerBI. General Knowledge: PowerApps, Java. 6-10 years of experience in software development with minimum 2 years of cloud computing. Education: Bachelor of Science in Computer Science, Engineering, or related technical field. Qualification : Bachelor of Science in Computer Science, Engineering, or related technical field.

Senior .NET Developer Location: Hyderabad Job Overview We are looking for a skilled and driven Senior .NET Developer to join our dynamic team in Hyderabad. The ideal candidate will have extensive experience in ASP.NET, ADO.NET, C#, MVC, Angular, jQuery, Web API, and Azure. This role requires expertise in both front-end and back-end technologies, with a focus on designing, developing, and maintaining robust web applications that align with business objectives. Key Responsibilities Design, develop, and maintain high-performance web applications using ASP.NET and C#. Build and implement RESTful APIs using ASP.NET Web API. Leverage ADO.NET to manage and optimize data access and interaction. Work closely with front-end teams to integrate Angular and jQuery, ensuring a fluid and responsive user experience. Write clean, efficient, and maintainable code, adhering to best practices and design patterns. Participate in the full SDLC, including requirements gathering, system design, development, testing, and deployment. Deploy and manage applications and services on Azure, ensuring scalability and optimal performance. Troubleshoot, debug, and optimize existing applications to improve efficiency and user experience. Stay current with emerging industry trends, technologies, and best practices to continuously enhance your skills and knowledge. Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field. 5+ years of hands-on experience in .NET development, with a deep focus on ADO.NET, MVC, SQL Server, ASP.NET, and Web API. Expertise in C# and strong understanding of object-oriented programming principles. Familiarity with front-end technologies, such as HTML, CSS, and MS SQL Server is a plus. Experience using version control tools like GIT or SVN. Strong problem-solving abilities and the capacity to work independently as well as part of a team. Additional Information Role: Senior .NET Developer Industry: IT Services Department: Software Engineering & QA Employment Type: Full-time, Permanent Role Category: Software Development Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Angular & C# Developer Role Overview: We are seeking a talented and motivated Angular & C# Developer to join our innovative development team. The ideal candidate will have strong experience with HTML, JavaScript, Angular 15+, TypeScript, AngularJS, and C#. As part of our team, you will contribute to developing and maintaining high-quality web applications, ensuring an exceptional user experience, and collaborating closely with backend developers and designers. Key Responsibilities: Frontend Development (Angular): Design and build responsive, dynamic user interfaces using Angular, following best practices for usability and performance. Develop reusable, maintainable components to streamline application development. Implement two-way data binding, reactive forms, and leverage Angular directives for managing dynamic content. Optimize performance with techniques like lazy loading, change detection strategies, and asset minification. Write unit tests for Angular components using testing frameworks such as Jasmine and Karma. Backend Development (C#/.NET): Build RESTful APIs or gRPC services using ASP.NET Core or the .NET Framework for seamless communication between front-end and back-end. Implement CRUD operations with databases (e.g., SQL Server, CosmosDB) using Entity Framework for efficient data handling. Write clean, scalable, and maintainable business logic that supports application functionality. Integrate security features like JWT-based authentication, OAuth, and role-based access control. Work with real-time communication protocols (e.g., WebSocket, SignalR) to provide live updates between the server and the front-end. Leverage cloud platforms (e.g., Azure) and services (e.g., Azure Blob Storage, Azure Functions) to enhance scalability. Implement error handling and integrate logging tools for application monitoring and troubleshooting. Full-Stack Integration: Ensure smooth integration between the Angular front-end and backend APIs using HTTP requests and SignalR. Collaborate with team members using Git for version control and best practices in branching strategies. Set up and manage CI/CD pipelines using tools like Azure DevOps or GitHub Actions to automate builds, testing, and deployment. Collaboration and Agile Development: Participate actively in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives. Collaborate with cross-functional teams to ensure UI/UX and business requirements are met. Conduct peer code reviews and mentor junior developers to maintain high-quality code standards. Skills & Qualifications: Education: Bachelor s Degree in Computer Science, Engineering, or related field (or equivalent experience). Angular: Extensive experience with Angular framework (15+), TypeScript, and front-end best practices. C#/.NET: Expertise in C#, .NET Core/Framework, and Entity Framework. Web Development: Proficiency in HTML5, CSS3, JavaScript, and building RESTful APIs. Database Management: Strong knowledge of SQL Server, CosmosDB, or other relational/non-relational databases. Cloud Development: Familiarity with Azure Cloud and associated services is a plus. Version Control & CI/CD: Experience with Git, Azure DevOps, or GitHub Actions for version control and automation. Additional Information: Role: Full Stack Developer Department: Engineering - Software & QA Industry: IT Services Employment Type: Full-time, Permanent Role Category: Software Development Qualification : Bachelors Degree in Computer Science, Engineering, or related field (or equivalent experience).

Azure Infrastructure Engineer Role Overview: We are seeking an experienced Azure Infrastructure Engineer to join our growing team. The ideal candidate will have hands-on expertise in Azure Resource Management, PaaS services, Compute services, Networking, Storage, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a pivotal role in designing, implementing, and maintaining our Azure infrastructure, ensuring it supports a wide range of applications and services. Key Responsibilities: Design & Implement Infrastructure Solutions: Architect scalable, secure, and highly available Azure infrastructure using Azure Resource Manager to meet business and application requirements. Manage Azure PaaS Services: Configure and manage Azure PaaS services (such as Azure App Services, Azure Functions, and Azure SQL Database) to optimize application performance, reliability, and scalability. Oversee Azure Compute Services: Manage and configure Azure Compute Services, including Virtual Machines, App Services, and Container Instances, ensuring efficient resource usage and performance. Networking & Security: Implement networking solutions within Azure, including Virtual Networks, Network Security Groups, and VPN gateways, ensuring secure and efficient network communication. Storage Solutions: Design, implement, and manage Azure storage solutions to ensure high availability, security, and efficient data access for applications. Identity & Access Management: Implement Identity and Access Management (IAM) solutions with Azure Active Directory and Role-Based Access Control (RBAC) to maintain secure user access and permissions across the infrastructure. Monitoring & Diagnostics: Utilize Azure Monitoring and Diagnostics tools to monitor infrastructure performance, identify issues, and ensure optimal operational efficiency. DevOps Integration: Work closely with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment, updates, and management. Documentation: Maintain detailed documentation of infrastructure configurations, best practices, and operational procedures for consistency and knowledge sharing across teams. Continuous Improvement: Stay updated with the latest Azure services, features, and best practices. Proactively recommend improvements to enhance infrastructure performance, security, and cost-efficiency. Skills & Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Azure Resource Management: Strong understanding of Azure Resource Manager, deployment automation, and infrastructure-as-code (IaC) practices. Azure PaaS Services: Proven experience managing Azure App Services, Azure Functions, and Azure SQL Database to optimize cloud application performance. Azure Compute Services: Expertise in managing and configuring Virtual Machines, App Services, and Container Instances for compute workloads. Networking Expertise: In-depth knowledge of Azure networking concepts, including Virtual Networks, Network Security Groups, and VPN solutions. Storage Solutions: Solid experience with Azure storage solutions (e.g., Blob Storage, Disk Storage) and best practices for data management and security. Identity & Access Management: Proficiency in Azure Active Directory and Role-Based Access Control (RBAC) for user and resource management. Monitoring & Diagnostics: Experience with Azure Monitoring and Azure Diagnostics tools to maintain system performance and troubleshoot issues. DevOps Knowledge: Familiarity with DevOps practices and experience working with CI/CD pipelines, automation tools, and infrastructure-as-code frameworks (e.g., ARM templates, Terraform). Additional Information: Role: Azure Infrastructure Engineer Department: Cloud Engineering Industry: IT Services Employment Type: Full-time, Permanent Role Category: Infrastructure Engineering Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

Azure Data Engineer (Mid-Level) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience Level: 5+ Years Industry: Information Technology / Cloud Data Engineering Job Overview We are hiring an experienced Azure Data Engineer (Mid-Level) to join our team in Hyderabad. In this role, you will work closely with business stakeholders, analysts, and IT teams to design, implement, and manage scalable, high-performance data solutions on the Azure Cloud Platform. Your expertise in data modeling, ETL development, and cloud-based data warehousing will be critical in supporting data-driven decision-making across the organization. Key Responsibilities Analyze large datasets and deliver clear, actionable reports using statistical techniques. Design and implement data pipelines, data collection systems, and analytics strategies that enhance operational efficiency. Develop and maintain data systems, ensuring high data quality, consistency, and integrity. Collaborate with business stakeholders, analysts, and developers to translate business requirements into technical solutions. Design, build, and manage distributed data systems and applications on the Azure Cloud. Lead and execute ETL development, including data extraction, transformation, and loading using tools like Informatica or SSIS. Conduct technical design reviews, performance tuning, and testing of data workflows. Adapt to changing priorities and contribute as an individual contributor or team leader depending on project scope. Required Qualifications & Skills Bachelor s degree in Computer Science, Information Systems, or a related field. Minimum 5+ years of experience in data engineering, data analysis, or database design. Proficient in SQL and T-SQL for querying and managing relational databases. Hands-on experience with ETL frameworks such as Informatica or SSIS. Strong understanding of data modeling, data mining, and segmentation techniques. Experience working with structured and unstructured data sources. Proficient in statistical tools and packages (Excel, SSIS, SAS, etc.). Strong analytical mindset with excellent attention to detail and data accuracy. Preferred Skills (Good to Have) Experience with Python and Apache Spark for data manipulation and automation. Experience with modern data platforms: Azure Synapse Analytics Azure Databricks Amazon Redshift Prior experience in developing automation solutions using Python or similar scripting languages. Knowledge of Enterprise Data Warehousing (EDW) concepts and solutions. Competitive compensation package with benefits. Work with cutting-edge cloud technologies in real-world environments. Collaborative, fast-paced, and innovation-driven workplace. Career development support with continuous learning opportunities. A chance to make a tangible impact on enterprise-level data systems. Apply Now If you are a data-driven professional with a strong command of Azure and ETL tools, and you re looking to advance your career in data engineering, apply now and become part of a forward-thinking tech team based in Hyderabad! Qualification : Bachelors degree in Computer Science, Information Systems, or a related field.

Job Title: Azure Data Engineer Location: Hyderabad / Bangalore (Hybrid) Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an Azure Data Engineer with 5-8 years of experience to join our team. As an Azure Data Engineer, you will design, implement, and manage data solutions on the Microsoft Azure cloud platform. The ideal candidate will have a strong background in writing complex SQL stored procedures, implementing OLTP database solutions using Microsoft SQL Server, and working with Azure Synapse, PySpark, and Azure Databricks for big data processing. Key Responsibilities: Data Integration and Collaboration: Collaborate with cross-functional teams to gather, analyze, and document business requirements for data integration projects. Complex SQL Expertise: Write and optimize complex T-SQL, Dynamic SQL, and Spark SQL queries, including the creation of stored procedures for data transformation and business validation logic. Big Data Processing: Utilize Azure Synapse/Databricks to write notebooks using Spark SQL or PySpark for processing and analyzing large volumes of data. Data Pipeline Development: Develop and maintain robust data pipelines using Azure Data Factory to ensure seamless data flow across systems. OLTP Systems: Contribute to the enhancement and optimization of OLTP systems using SQL Server. Data Quality and Integrity: Ensure data quality, integrity, and accuracy in all systems. Programming and Algorithm Development: Utilize strong algorithmic programming skills to handle data processing and transformation. Qualifications: Educational Background: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5-8 years of experience in database development, data integration, and writing complex T-SQL queries. Technical Skills: Expertise in T-SQL and Spark SQL/PySpark (experience with Azure Synapse and Databricks is essential). Hands-on experience with Azure Data Factory for building data pipelines. Strong experience with OLTP systems using SQL Server. Problem-Solving Skills: Excellent problem-solving abilities with a strong focus on attention to detail. Adaptability: Ability to work in a collaborative and fast-paced environment, focusing on delivering high-quality solutions. Other Details: Notice Period: 0-15 days MAX Work Location: Hyderabad / Bangalore (Hybrid) If you're an experienced Azure Data Engineer with a passion for big data and cloud technologies, apply now to join our team and make an impact with innovative data solutions! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Title: Senior Consultant - FS Developer Tech Engineer Location: Hyderabad Entity: Financial Services Your Role Work across the entire solution lifecycle, including requirement analysis, front-end and back-end development, design, system integration, architecture, and support. Analyze root causes of incidents and provide well-thought-out solutions. Document the resolutions provided and share them with relevant stakeholders. Support the business by providing effort estimations and conducting feasibility studies. Perform code reviews and share the findings with colleagues to improve the quality of deliverables. Your Team You will be working as part of the End User Artificial Intelligence and Transformation team. This team develops end-user automation and solutions, based in Pune and London. We are a technology-driven team focused on end-user services, developing, integrating, testing, documenting, maintaining, supporting, and decommissioning technology solutions aimed at solving business problems. Your Expertise We re looking for someone with: Several years of experience as a software developer (experience within financial services is a plus). Expertise in Typescript, JavaScript, CSS, and frameworks such as Angular 12+, ReactJS, and NodeJS. Experience with MS SQL Server including writing and optimizing stored procedures, creating views, and managing database performance. Strong understanding of Azure services, Function Apps, Infrastructure as Code (IaaC), and GitLab. Expertise in building web service-based REST APIs. Knowledge in web development tools and data modeling. Expertise in HTML5, Bootstrap, Client-Side Development, SASS/LESS, CSS3, and Responsive Design. The ability to build client-side applications for both web browsers and mobile devices. Experience in developing tools leveraging complex data sources. Knowledge of integrating UX design and engineering into products for a seamless user experience. Experience in desktop application development. Bonus: Experience developing style guides or UX wireframes. You Are: An excellent communicator and negotiator who can articulate complex technical concepts clearly. A self-starter, capable of independently creating innovative solutions. Fluent in English, both spoken and written. Analytical and logical, able to solve problems in an efficient and effective manner. Result-oriented and assertive, with a positive attitude towards challenges. Motivated, self-directed, and driven to achieve excellence. Methodical, concise, and accurate, with a strong attention to detail. Why You Should Join Us At Deloitte, we provide an environment where you can grow your skills and be part of a team that is shaping the future of the industry. If you are a driven individual who thrives in solving complex technical challenges, this is the place to take your career to the next level. This Senior Consultant role offers an exciting opportunity to contribute to cutting-edge projects in Financial Services technology development. If you are passionate about creating solutions that matter, we encourage you to apply.

Job Title: Azure DevSecOps Engineer Experience: 5-8 Years Location: Hyderabad About Us: We are a leading technology solutions provider focused on delivering secure, scalable, and innovative cloud solutions. As part of our expansion, we are looking for an experienced Azure DevSecOps Engineer to join our dynamic team. If you have expertise in Azure cloud services, security practices, and DevSecOps automation, we would love to have you onboard! Responsibilities: Cloud Services: Work extensively with Azure cloud services such as IAAS and PAAS, as well as Azure Data Bricks and Azure Data Factory (ADF) for managing data pipelines and analytics workflows. Ensure the security and scalability of cloud services and platforms. Azure Security & Policies: Manage Azure Active Directory (Azure AD) configurations and user access. Implement and maintain Azure Policies to enforce governance and compliance across Azure resources. Ensure secure management of cloud resources using industry-standard security practices. Networking & Monitoring: Work on Azure networking components and security, including network security groups, virtual networks, and firewalls. Configure and monitor Azure Monitoring and third-party monitoring tools to track and report performance, security, and availability metrics of cloud infrastructure. DevSecOps Automation: Implement Azure DevOps pipelines (YAML pipelines) for continuous integration and continuous deployment (CI/CD). Automate Infrastructure as Code (IAC) using Terraform or Bicep to provision and manage Azure resources in a scalable and efficient manner. Collaboration & Documentation: Work closely with cross-functional teams to ensure secure, automated, and reliable cloud infrastructure deployments. Provide documentation for cloud infrastructure, automation processes, and security procedures to maintain standard operating practices. Requirements: Experience: Total 5-7 years of experience in IT infrastructure and cloud technologies, with at least 2-3 years of hands-on experience in Azure cloud services, specifically IAAS, PAAS, Azure Data Bricks, and Azure Data Factory (ADF). Technical Skills: Expertise in Azure AD, Azure Policies, and Azure Networking and Security. Strong experience with Azure Monitoring and third-party monitoring tools for cloud infrastructure. Proficient in Azure DevOps and YAML pipelines for CI/CD automation. Hands-on experience with Infrastructure as Code (IAC) tools like Terraform or Bicep to automate cloud resource provisioning. Soft Skills: Excellent communication and collaboration skills to work with cross-functional teams and clients. Ability to troubleshoot and resolve complex cloud infrastructure issues. Strong problem-solving and analytical skills, with a focus on security in cloud infrastructure. Innovative Environment: Work with cutting-edge cloud technologies in a forward-thinking, fast-paced environment. Growth Opportunities: Enjoy continuous learning and career development through training and certifications. Collaborative Culture: Join a team of talented professionals committed to innovation and quality. Competitive Compensation & Benefits: Receive a competitive salary and comprehensive benefits package. Apply Today! If you're an experienced Azure DevSecOps Engineer with a passion for cloud security, automation, and DevOps, we invite you to apply and be part of our growing team!

Location: Hyderabad/Chennai, India Experience: 5+ years No. of Openings: 4 Job Description: Managing to code release and operational tasks within a global team with a focus on automation, maintainability, security and customer satisfaction Design, develop, and maintain infrastructure and various Azure or AWS IaaS and PaaS services. Expected to understand the Azure services and apply best practices regarding security and scalability. Working experience on Azure infrastructure setup and implementation. Should have at least one associate level certificate (pro will be a plus). Understanding of Azure Cloud Adoption Framework and Azure Lighthouse. Should be able to write infrastructure as code using Terraform/Azure ARM Expertise in Terraform, Ansible and CICD automation. Able to use a CI/CD pipelines to deploy applications on Azure. We use GitHub and GitHub actions for CI/CD. Previous experience with the serverless approaches using Azure Functions is a plus. Experience in Linux/Unix administration. Understanding of the enterprise management processes - OS backup, patching, vulnerability scanning, compliance and how to achieve that in Azure/AWS. Perks and Benefits: Excellent Salary structure & Performance based interim hikes. Corporate Group Medical Health Insurance for Employees. Employee friendly Corporate Work culture.

Position: Azure Infrastructure Engineer Location: Hyderabad, Telangana Employment Type: Full-time, Permanent Industry: IT Services Department: Engineering - Software & QA Role Category: Infrastructure Engineering We are seeking an experienced Azure Infrastructure Engineer to join our team in Hyderabad. The ideal candidate will have hands-on experience with Azure Resource Management, Azure PaaS services, Azure Compute Services, Networking, Storage Solutions, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a critical role in designing, implementing, and managing our Azure infrastructure to support various applications and services, ensuring performance, security, and scalability. Key Responsibilities: Design and implement scalable and secure Azure infrastructure solutions using Azure Resource Manager. Manage and configure Azure PaaS services (e.g., Azure App Services, Azure Functions, Azure SQL Database) to optimize application performance and reliability. Oversee Azure Compute Services, including Virtual Machines, App Services, and Container Instances. Implement and manage networking solutions, including Virtual Networks, Network Security Groups, and VPN gateways to ensure secure communication. Design and maintain storage solutions in Azure, ensuring data availability, redundancy, and security. Implement Identity and Access Management (IAM) solutions using Azure Active Directory and Role-Based Access Control (RBAC) to secure and manage user access. Utilize Azure Monitoring and Diagnostics tools to track infrastructure performance, troubleshoot issues, and optimize system health. Collaborate with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment and efficient infrastructure management. Maintain comprehensive documentation for infrastructure configurations, procedures, and best practices. Stay up-to-date with Azure services, technologies, and best practices, recommending improvements to enhance efficiency, security, and overall performance. Required Qualifications & Skills: Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Azure Resource Management: Strong understanding of deployment techniques and resource management within the Azure environment. Azure PaaS Services: Proven experience working with services such as Azure App Services, Azure Functions, and Azure SQL Database. Azure Compute Services: Proficiency in managing and configuring Virtual Machines, App Services, and Container Instances. Networking: Solid knowledge of Azure networking concepts and configurations such as Virtual Networks, Network Security Groups, and VPNs. Storage Solutions: Experience with Azure storage solutions and best practices for ensuring high availability, backup, and security of data. Identity & Access Management: Experience with Azure Active Directory and Role-Based Access Control (RBAC). Monitoring & Diagnostics: Familiarity with Azure Monitoring and Diagnostics tools to ensure optimal system performance and troubleshoot any issues. DevOps Practices: Understanding of DevOps practices and tools, including CI/CD pipelines and automation for efficient infrastructure management and deployment. If you are passionate about Azure infrastructure and want to be part of a high-performing team that designs and manages cutting-edge cloud solutions, we d love to hear from you! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Cloud Cost Optimizer (Azure & GCP Specialist) Job Category: Technical Department: Infrastructure Job Location: Indore, India Experience Required: 5 Years About the Role: We are looking for a highly skilled and motivated Cloud Cost Optimization Specialist with proven experience in Microsoft Azure and Google Cloud Platform (GCP). You will be responsible for designing and implementing cost-efficient, scalable, and secure cloud strategies across a multi-cloud infrastructure, while aligning with business and performance goals. Key Responsibilities: Evaluate and optimize Azure and GCP environments for cost, performance, scalability, and reliability. Identify underutilized or over-provisioned cloud resources and suggest improvements. Develop and enforce cost governance policies and frameworks. Automate cost optimization processes using tools like Terraform, Python, and native cloud services. Collaborate with DevOps, Engineering, and Infrastructure teams to align optimization efforts with operational needs. Create and maintain dashboards and reports on cloud cost trends and KPIs. Provide architectural guidance to ensure cost-efficient workload deployment. Continuously research new Azure and GCP services, billing features, and optimization techniques. Education & Experience: 5+ years of experience in cloud infrastructure and cost optimization. Hands-on expertise with both Microsoft Azure and Google Cloud Platform (GCP). In-depth understanding of cloud services, billing models, and pricing structures. Experience with Azure Cost Management, GCP Pricing Calculator, and third-party tools like CloudHealth, Spot.io, or Apptio Cloudability. Proficient in Infrastructure as Code (IaC) tools such as Terraform or Azure ARM templates. Strong data analysis skills to interpret cloud usage and drive actionable insights. Skills & Competencies: Relevant certifications (e.g., Microsoft AZ-305, GCP Professional Cloud Architect or Cloud Engineer). Understanding of FinOps principles and cloud cost governance frameworks. Background in DevOps, Systems Engineering, or Site Reliability Engineering (SRE) is a plus. Excellent verbal and written communication skills for cross-functional collaboration. What We Offer: Learning & Growth: Support for career development and continuous learning. Innovative Projects: Be part of cutting-edge cloud and DevOps initiatives. Global Exposure: Opportunities to work on international projects. Engaging Culture: Participate in team outings, events, and celebrations. Competitive Compensation: Rewarding salary and performance-based benefits. Healthy Work-Life Balance: 5-day work week and a wellness-focused environment. Group Health Insurance: Comprehensive medical coverage for peace of mind. Open Door Policy: Your ideas and feedback are always welcome. Work from Indore: Join us in India s cleanest city with a modern, collaborative office space. Apply now and bring your expertise to a team that values innovation, efficiency, and excellence in the cloud!

Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).