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Gravity Engineering Services - Odoo Architect - Native Cloud Platform

Gravity Engineering Services - Odoo Architect - Native Cloud Platform

Gravity Engineering Services Pvt. LtdDelhi, IN
17 days ago
Job description

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 (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.
  • (ref : hirist.tech)

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