Odoo Architect
We are seeking an experienced Odoo & Data Engineering Architect (12+ years) to design scalable, cloud-native Odoo solutions and lead enterprise-grade implementations. The role involves technical leadership, modular Odoo development, data engineering (ETL, big data), and seamless system integrations. You will drive architecture, CI/CD, DevSecOps, and ensure high performance, security, and usability across complex platforms.
Mandatory Skills
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 analyze 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.
Why Join Gravity
Join the Elite network of the top 5% and advance your career.
Embark on a journey with a forward-thinking and innovative IT technology consulting company.
Competitive compensation package, featuring performance-based incentives.
Prospects for career advancement within a rapidly expanding global organization.
Gravity is an equal opportunity employer. We celebrate diversity and remain committed to establishing an inclusive environment for all employees.
Hiring Process
Step 1: Language and Personality
Step 2: In-Depth Skill Review
Step 3: Live Screening
Step 4: Test Projects
Step 5: HR Discussion
Step 6: Onboarding