Engineering Services

Role : Odoo Architect Business Requirements : - Independently interact with Solution Owners, Product Owners, other Odoo Architects, and Solution Architects to understand the complete scope of business requirements. - Write and present a high-level scope and architecture document for confirmation by all stakeholders Addressing - Scalability and High availability aspects and dimensions. Cloud Native Platform Management : - Create, deploy, and manage a Cloud Native Multi-tenant platform and business applications built on Odoo (v15 ). User Interface Design : - Architect and design the User Interface using Odoo platform OTB capabilities, JavaScript, Web API, and the latest front-end best practices. Technical Leadership : - Lead the development team to ensure that the solution is developed in accordance with requirements, specifications, standards, and best practices, considering delivery timelines. - Guide the team in creating low-level design documents, performing thorough code reviews, and ensuring superior quality of the developed software. Development : - Develop applications using Odoo platform OTB capabilities with a modular design. - Build Odoo-based libraries, plug-ins, modules, and frameworks to support modular, large, complex web applications. - Integrate with existing or third-party software platforms and systems using Rest APIs or other protocols. - Write JavaScript, database queries/functions, CSS, and HTML. - Containerize deployment solutions using Docker on Kubernetes. Code Quality & Testing : - Develop high-quality, clean, reusable, and maintainable code with maximum test automation using suitable frameworks and technologies. - Conduct unit, system, performance, and security tests. Performance & Security : - Ensure high performance and availability of applications, providing support as needed. - Implement security and data protection measures, fixing security findings within SLA. Data Integration : - Integrate data storage solutions, including databases, key-value stores, and blob stores. - Data Engineering skills, ability to process Unstructured, Big data , ETL. CI/CD Pipeline : - Create and maintain CI/CD pipelines as per the blueprint. Troubleshooting : - Troubleshoot and resolve technical problems in a timely and accurate manner to improve application performance and functionality. Documentation : - Create architecture and design documentation. DevOps Maintenance : - Maintain the end-to-end DevOps cycle (code platform, test, build, deploy, and manage) using GitLab. Other Release Management Activities : - Troubleshoot and resolve technical problems as defined by OLA/SLA agreements with the customer team and L1/L2/L3 team. - Fix User Acceptance Test bugs and confirm acceptance from the customer. - Review all deliverables and Sprint Plans with the Solution team and the Technical team. - Adjust feature priorities for future releases based on business needs Technologies Used : - Odoo Platform v15 Based Development : - Experience with Odoo development and customization. - Odoo User base (Logged-in users) > 1000 Users. - Odoo on Kubernetes (Microservices Based Architecture) with DevOps understanding - Knowledge of Odoo modules, architecture, and APIs. - Ability to integrate Odoo with other systems and data sources. - Capable of creating custom modules. - Scale Odoo deployments for many users and transactions. Programming Languages : - Proficiency in Python is essential. - Experience with other programming languages (e.g., Java, Scala) is a plus. Data Analysis and Reporting : - Ability to analyse and interpret complex data sets. (AI based) - Experience with data visualization tools (e.g., Superset). - Experience in Cassandra along with Query Engine like Presto. - Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). - Experience with ETL tools and processes. - Data Structure & Data Modelling - Knowledge of data warehousing concepts and technologies. - Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. - Experience in managing and processing large Datasets DevSecOps : - Experience with containerization, Docker, and Kubernetes clusters. - CI/CD with GitLab. Methodologies : - Knowledge and experience of SCRUM and Agile methodologies. Operating Systems : - Linux/Windows OS. Tools Used : - Jira, GitLab, Confluence.