Position: .Net Lead Engineer Experience: 9+ to 15 Years Location: Hyderabad (WFO) Status: Full Time (Permanent) Job Description: Key Responsibilities: Design, develop, and maintain complex applications using .NET Core 3.1/.NET 5.0, ASP.NET ,Node.js, and Azure cloud services. Lead and mentor a team of senior developers, ensuring adherence to best coding practicesand project timelines. Develop and optimize RESTful APIs and microservices using Node.js, Azure Functions, and API Gateway. Work with both SQL Server and NoSQL databases such as MongoDB and Cosmos DB. Collaborate with product managers, architects, and QA teams for requirement gathering and technical solutioning. Implement front-end solutions using Angular or React. Provide technical expertise on identity management for secure authentication and authorization. Participate actively in Agile/Scrum ceremonies and contribute to sprint planning and reviews. Ensure code quality with peer reviews, CI/CD pipelines, and automated testing. Stay updated on industry best practices, new technologies, and propose improvements. Required Skills: 1113 years of hands-on software development experience. Strong background in .NET Core 3.1/.NET 5.0, ASP.NET , Node.js, Active Directory (AD), SQL Server, MongoDB, Cosmos DB. Proficiency in cloud computing concepts and experience with Azure cloud technologies. Front-end skills in Angular or React for building modern user interfaces. Experience with Azure services, Azure Functions, and API Gateway. Proven experience in leading and mentoring a team.

Experience: 5 to 10 years Location: Hyderabad Position: Permanent Key Responsibilities: Design and implement AI-driven solutions using Python, integrating machine learning models into scalable web applications. Develop, test, and maintain robust backend services with frameworks such as Django, Flask, and Fast API. Build interactive and responsive front-end interfaces using modern JavaScript frameworks (React/Angular/Vue.js). Integrate AI and machine learning algorithms into full-stack applications, ensuring optimal performance and accuracy. Collaborate closely with data scientists and AI engineers to understand the technical requirements of AI/ML models and implement them efficiently in the application stack. Work with cloud services (AWS, GCP, Azure) to deploy machine learning models and APIs for scalable production use. Design and implement RESTful APIs and microservices to expose AI models for consumption by other services and users. Troubleshoot and optimize both frontend and backend systems for performance, scalability, and reliability. Ensure the security and privacy of AI data and algorithms, following industry best practices and standards. Participate in code reviews, provide mentorship to junior developers, and share knowledge of best practices in both software development and AI integration. Stay current with developments in AI and full-stack technologies, recommending improvements and innovations as needed. Required Skills & amp; Experience: 3+ years of experience as a Full Stack Developer with strong proficiency in Python. Hands-on experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and the integration of models into production applications. Strong experience with backend frameworks like Django, Flask, or FastAPI. Proficiency with front-end technologies such as HTML, CSS, JavaScript (ES6+), and modern JavaScript frameworks (React/Angular/Vue.js). Solid understanding of database management systems, both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). Experience in building and consuming RESTful APIs. Experience deploying machine learning models to the cloud (AWS, GCP, Azure). Familiarity with containerization technologies like Docker and orchestration platforms (Kubernetes). Understanding of data security practices, particularly in AI and machine learning applications. Knowledge of CI/CD pipelines and DevOps practices for seamless deployment and monitoring. Strong problem-solving skills, with the ability to debug, optimize, and troubleshoot complex systems. Preferred Qualifications: Experience in deploying and scaling AI/ML models in production environments. Knowledge of microservices architecture and cloud-native application design. Familiarity with AI model training, testing, and evaluation frameworks. Experience with big data technologies (Hadoop, Spark) is a plus. Experience in the AI-driven product lifecycle, including model performance evaluation and iteration. Familiarity with automated testing and unit testing in the context of full-stack development.

Description We are seeking an experienced SSIS Developer to join our team in India. The ideal candidate will have a strong background in data integration, ETL processes, and SQL Server development. You will be responsible for designing, developing, and optimizing SSIS packages to ensure efficient data flow and data quality across our systems. Responsibilities Develop, maintain, and troubleshoot SQL Server Integration Services (SSIS) packages. Design and implement ETL processes to extract, transform, and load data from various sources. Optimize existing SSIS packages for performance improvements. Collaborate with data architects and business analysts to gather requirements and deliver data solutions. Monitor and maintain data quality and integrity across data integration processes. Document SSIS packages and integration processes for future reference and compliance. Skills and Qualifications 4-12 years of experience in SSIS development and SQL Server database management. Strong understanding of ETL concepts and data warehousing principles. Proficiency in writing complex SQL queries and stored procedures. Experience with data modeling and database design. Knowledge of performance tuning and optimization techniques in SSIS and SQL Server. Familiarity with SQL Server Reporting Services (SSRS) and SQL Server Analysis Services (SSAS) is a plus. Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Description We are seeking a skilled Data Engineer to join our team in India. The ideal candidate will have a strong background in data architecture, data processing, and data management. You will be responsible for building and maintaining the data infrastructure that supports our analytics and business intelligence initiatives. Responsibilities Design, construct, install, and maintain large-scale data processing systems and architecture. Develop and maintain scalable and reliable data pipelines to collect, transform, and store data. Collaborate with data scientists and analysts to improve data quality and accessibility. Implement data security measures and ensure compliance with data protection regulations. Monitor and optimize data systems to ensure high performance and availability. Work with cloud services like AWS, Azure, or Google Cloud for data storage and processing solutions. Skills and Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 5-12 years of experience in data engineering or related roles. Proficiency in programming languages such as Python, Java, or Scala. Strong knowledge of SQL and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Experience in Data bricks, Delta Live Tables, data Migration. Experience with big data technologies such as Hadoop, Spark, or Kafka. Familiarity with ETL tools and data warehousing solutions. Understanding of data modeling and data architecture principles. Experience with cloud platforms (AWS, Azure, GCP) for data storage and processing. Knowledge of data governance and security best practices.