Job Brief We are looking for a Full Stack Developer to produce scalable software solutions. You will be part of a cross-functional team thats responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility. If you are also familiar with Agile methodologies, wed like to meet you. Responsibilities Strong experience with TypeScript. Expertise in designing and consuming RESTful APIs. Proficient in Git and related workflows Strong problem-solving skills. Familiarity with gRPC, GCP, docker is a plus. Work with development teams and product managers to ideate software solutions. Design client-side and server-side architecture Build the front-end of applications through appealing visual design. Develop and manage well-functioning databases and applications. Write effective APIs. Test software to ensure responsiveness and efficiency. Troubleshoot, debug and upgrade software! Create security and data protection settings. Build features and applications with a mobile responsive design. Write technical : 4+ years of experience as a Full Stack Developer or similar role Experience in web application development. Must have hands-on experience in Node.js. (NestJs. Framework) Hands on experience with at JavaScript frameworks such as Angular. Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript. Familiarity with database technology such as MongoDB, MySQL, and Oracle. Knowledge of CI/CD process. Developed using Version control systems like GitHub, GitLab, etc. Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind Able to work in a fast-paced environment focused on deliver. Interact with clients in an effective manner. (ref:hirist.tech) Show more Show less
Key Responsibilities: Highly motivated individual who can deliver high-quality software solutions. Oversee the entire software development lifecycle, from planning and design to implementation, testing, and deployment. Collaborate with stakeholders to gather requirements, define project scope, and create detailed project plans. Ensure projects are delivered on time, within scope, and within budget. Conduct regular team meetings, code reviews, and performance evaluations. Identify and address technical and operational challenges to maintain project momentum. Foster a positive team environment, encouraging collaboration and professional growth. Required Skills and Qualifications: Bachelor’s degree in computer engineering/science or a related field Minimum of 5 to 10 years of professional experience in web application development. Minimum 2 to 3 years of experience in AI/ML and automation technologies. Should have worked on technologies like Microsoft ASP.Net, ASP.NET MVC, JavaScript, jQuery, Angular, React, Entity Framework Should have working experience in programming languages like python, C# . Understanding of Chatbot Architecture especially based on Microsoft Bot framework. Knowledge of Machine Learning & Artificial Intelligence Experience in integrating chatbot with different messaging platform like ( Facebook, WhatsApp, Microsoft Teams or Telegram ) Experience in library like PyTorch , TensorFlow or others. Experience in Large Language Models (LLMs) and Deep learning techniques . Experience in Natural Language Processing (NLP) Experience in Docker and Kubernetes . Experience on Microsoft Azure Cognitive Services , spaCy, NLTK (Natural Language Toolkit), LUIS (Language Understanding Intelligent Service) Ability to work with RESTful APIs, PostgreSQL, SQL Server. Experience in OOPS, Design Pattern and n-tier architecture application Extensive experience with multithreading and multiprocessing techniques to optimize application performance. Knowledge about HMTL5, CSS3, JavaScript. Knowledge about Web Development React or Vue.js Knowledge about cloud services like Microsoft Azure or AWS Should have implementation experience in the implementation of Microservices architecture Knowledge of modern authorization mechanisms, such as JSON Web Token Strong understanding of software design principles, API development, and database optimization. Knowledge of database systems, including Relation Database (like SQL Server, PostgreSQL). Knowledge about Non-Relation Database like MongoDB will be added advantage. Prior experience in the Education Technology Industry is a plus Excellent oral and written communication skills in English Familiarity with agile development methodologies Knowledge of software development life-cycle methodologies e.g. Iterative, SCRUM, Agile, etc. Experience of code review and code refactoring with best industry practices. Must have knowledge of working on code repository ( Azure Repos, GIT etc.) Ability to learn and implement new technologies in a fast-paced dynamic environment. To know our Privacy Policy, please click on the link below or copy paste the URL on your browser: https://gedu.global/wp-content/uploads/2023/09/GEDU-Privacy-Policy-22092023-V2.0-1.pdf
As a Data Architect, your primary responsibility is to design and manage scalable, secure, and high-performance data architectures that cater to the needs of GEDU and its customers. You will play a crucial role in ensuring that data assets within GEDU are well-structured and managed to facilitate insightful decision-making, data integrity, and aligned with strategic goals. Your key responsibilities will include designing, developing, and maintaining enterprise data architecture, which encompasses data models, database schemas, and data flow diagrams. You will also be tasked with developing a data strategy and roadmap that aligns with GEDU's business objectives while ensuring scalability. Architecting both transactional (OLTP) and analytical (OLAP) databases to guarantee optimal performance and data consistency will also be part of your role. Moreover, you will oversee the integration of disparate data sources into a unified data platform by leveraging ETL/ELT processes and data integration tools. Designing and implementing data warehousing solutions, data lakes, and data marts that enable efficient storage and retrieval of large datasets will also be a critical aspect of your responsibilities. Ensuring proper data governance, including data ownership, security, and privacy controls in compliance with standards like GDPR and HIPAA, will be essential. Collaborating closely with business stakeholders, analysts, developers, and executives to understand data requirements and ensure that the architecture supports analytics and reporting needs will be crucial. You will also collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Guiding the selection of data technologies such as databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure), and analytics tools will be part of your role. Staying updated on emerging data management technologies, trends, and best practices and assessing their potential application within the organization will also be essential. You will be responsible for defining data quality standards and implementing processes to ensure accuracy, completeness, and consistency of data across all systems. Establishing protocols for data security, encryption, backup/recovery to protect data assets, and ensure business continuity will be vital. Additionally, you will lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Providing strategic guidance on data-related projects and initiatives to ensure alignment with the enterprise data strategy will also be part of your responsibilities. With over 7 years of experience in data architecture, data modeling, and database management, you should possess proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must), ETL/ELT processes, and data pipelines will be required. Expertise in Azure cloud data platform is a must, with additional experience in platforms like AWS (Redshift, S3), Azure (Data Lake, Synapse), Google Cloud Platform (BigQuery, Dataproc) being a bonus. Hands-on experience with big data technologies (Hadoop, Spark), distributed systems for large-scale data processing, data warehousing solutions, and BI tools (Power BI, Tableau, Looker) will also be beneficial. Your technical leadership skills should enable you to lead data-driven projects, manage stakeholders effectively, and drive data strategies across the enterprise. Strong programming skills in languages like Python, SQL, R, or Scala will also be necessary for this role. Finally, your pre-sales responsibilities will involve stakeholder engagement, solution development, developing proof of concepts (POCs), client communication, and delivering technical presentations to prospective clients. Ensuring that solutions align with business objectives, meet security and performance benchmarks, and effectively communicate technical requirements to clients and stakeholders will be crucial in the pre-sales process.,