Software Development Engineer III - SaaS Applications

As a Full Stack Web Application Developer focusing on Artificial Intelligence and big data technologies, your primary responsibility will be to design and develop web applications. You will play a key role in ensuring the efficiency, scalability, and technology stack leadership of solutions. It is essential to maintain robust applications by implementing unit tests and quality control measures. Following an agile development process, you will be expected to deliver rapid solutions to business challenges. Your role will involve gathering inputs from both internal and external clients to continuously enhance solutions. Adhering to software design, development, testing, and documentation best practices is crucial for the success of the projects. In the realm of data engineering, you will be tasked with extracting and parsing data from various online and local sources. Cleaning up data, auditing for accuracy, consistency, and completeness will also be part of your responsibilities. Leveraging analytics and artificial intelligence techniques such as Excel, SQL, Python, SAS, R, and MATLAB, you will derive valuable insights and present them in a visually appealing manner through data processing and visualization. Project operations will require you to utilize proprietary tools for data engineering, analytics, and visualization activities, ensuring project deliveries, continuous improvement, and customer success. To excel in this role, you must possess a strong command over Python, Django, React, Flask, Flutter, Bootstrap, HTML, CSS, and JavaScript. Expertise in Full Stack Web Application development is a prerequisite. Proficiency in software development, including conceptualization, design, coding, and debugging, is essential. A background in AI, ML, Deep Learning, Image processing, and computer vision is highly desirable. Your proficiency in algorithm design, database programming (RDBMS), and text analytics will be an asset. Familiarity with MongoDB, Redis, Docker, Containerization, Kubernetes, AWS, and Kafka is preferred. Your problem-solving skills will be put to the test as you break down complex problems into manageable milestones, prioritize deliverables, identify bottlenecks, and find effective solutions. Being a self-learner with a high level of curiosity, you should be capable of working with minimal supervision and guidance. An entrepreneurial mindset coupled with a positive attitude is crucial for this role. A strong academic background, especially in B.E / B.Tech in Computer Science / IT, along with 4 to 6 years of relevant experience, will be beneficial in fulfilling the responsibilities effectively.,