Lead Software Development Engineer - Microservices Architecture

Role Overview: You will be responsible for hands-on (Full Stack) SaaS application design and development with a focus on Artificial Intelligence using big data technologies. Your role will involve ensuring solution efficiencies, scalability, and providing technology stack leadership. It will be essential to create foolproof and robust applications by implementing unit tests and other quality control measures. You will follow an agile development process to deliver rapid solutions to business challenges. Moreover, you should continuously seek feedback from internal and external clients to enhance the solutions. Your responsibilities will also include setting up and adhering to software design, development, testing, and documentation best practices. Data extraction, parsing, cleaning, auditing, application of analytics and artificial intelligence techniques, as well as summarizing insights through data processing and visualization, will be part of your daily tasks. Your role will also involve utilizing proprietary tools for data engineering, analytics, and visualization activities for both internal and external client projects. Overall, you will be accountable for project deliveries, escalation, continuous improvement, and ensuring customer success. Key Responsibilities: - Design and develop hands-on (Full Stack) SaaS applications focusing on Artificial Intelligence using big data technologies - Ensure solution efficiencies, scalability, and provide technology stack leadership - Implement unit tests and other quality control measures to create foolproof and robust applications - Follow an agile development process to deliver rapid solutions to business challenges - Gather inputs from internal and external clients to enhance solutions continuously - Set up and adhere to software design, development, testing, and documentation best practices - Extract, parse, clean, and audit data from online and local sources - Apply analytics and artificial intelligence techniques to extract valuable insights - Summarize insights through data processing and visualization - Utilize proprietary tools for data engineering, analytics, and visualization activities - Manage project deliveries, escalation, continuous improvement, and ensure customer success Qualifications: - B.E / B.Tech in Computer Science / IT - 5 to 8 years of relevant experience (Note: Additional details about the company are not provided in the job description) Role Overview: You will be responsible for hands-on (Full Stack) SaaS application design and development with a focus on Artificial Intelligence using big data technologies. Your role will involve ensuring solution efficiencies, scalability, and providing technology stack leadership. It will be essential to create foolproof and robust applications by implementing unit tests and other quality control measures. You will follow an agile development process to deliver rapid solutions to business challenges. Moreover, you should continuously seek feedback from internal and external clients to enhance the solutions. Your responsibilities will also include setting up and adhering to software design, development, testing, and documentation best practices. Data extraction, parsing, cleaning, auditing, application of analytics and artificial intelligence techniques, as well as summarizing insights through data processing and visualization, will be part of your daily tasks. Your role will also involve utilizing proprietary tools for data engineering, analytics, and visualization activities for both internal and external client projects. Overall, you will be accountable for project deliveries, escalation, continuous improvement, and ensuring customer success. Key Responsibilities: - Design and develop hands-on (Full Stack) SaaS applications focusing on Artificial Intelligence using big data technologies - Ensure solution efficiencies, scalability, and provide technology stack leadership - Implement unit tests and other quality control measures to create foolproof and robust applications - Follow an agile development process to deliver rapid solutions to business challenges - Gather inputs from internal and external clients to enhance solutions continuously - Set up and adhere to software design, development, testing, and documentation best practices - Extract, parse, clean, and audit data from online and local sources - Apply analytics and artificial intelligence techniques to extract valuable insights - Summarize insights through data processing and visualization - Utilize proprietary tools for data engineering, analytics, and visualization activities - Manage project deliveries, escalation, continuous improvement, and ensure customer success Qualifications: - B.E / B.Tech in Computer Science / IT - 5 to 8 years of relevant experience (Note: Additional details about the company are not provided in the job description)