Odoo Architect

Odoo Architect JD (12+ years exp)

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.