Odoo Architect

Odoo Architect JD (12+ years exp)

Location: Bangalore, Chennai, Noida

➢ 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.

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:

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➢ 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

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 (4.0+) 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.