Python Full Stack Developer

New Jersey, United States🕖 9 months ago

Job Title: Senior Python Full Stack DeveloperLocation: RemoteDuration: Long Term Contract

Enterprise search and Google search is Mandatory

Core Job Responsibilities:Building a vectorized, universal intranet search with generative AI components.Refactoring old applications to modern programming language like React Native for homepage/unibanner/TLP.Modernizing devops pipeline for proper code isolation and deployment.Migrating on prem applications and assets to cloud.

Core Skills:Google Cloud Platform (GCP) knowledge and experience:Understanding of Google Cloud Platform services, especially those related to cloud search.Familiarity with GCP setup, architecture and Identity and Access Management for access control.Familiarity with Google Machine Learning service for building, training, and deploying machine learning models.

Google Cloud Search Configuration:Proficiency in setting up and configuring Google Clould Search.Knowledge of connecting data sources, such as ServiceNow, sharepoint and other business applications to Google Clould Search.Configuring content sources and search settings to meet our employee search needs.

Data Management:Data extraction and transformation of skills for preparing and indexing data from various sources.Knowledge of data connectors and integration with internal systems or databases.

Search Relevance:Understanding of search relevance tuning to ensure that search results are accurate and meaningful for users.Knowledge of query processing, indexing and ranking algorithms.

Preferred Skills:Proficiency in languages like Python and PHP.Strong back end: LAMP stack, Red hat, strong Dev-Ops BASH scripting, database support and maintenance and Monitoring experience.Familiarity with version control systems like Git for collaborative development.Skills in integrating APIs into applications.Understanding of security best practices when working with cloud platforms and APIs to protect sensitive data.Understanding cloud computing concepts and best practices for designing scalable, reliable, and cost-effective solutions on GCP.Knowledge of how to design and implement scalable applications that can handle varying workloads.Implementing CI/CD pipelines to automate deployment and testing.Cloud migration and A/B testing with LaunchDarkly.Familiarity with containerization technologies like Docker for packaging and deploying applications.Understanding of Splunk for Monitoring and Logging to track the performance and health of the MVP.Power BI for creating KPI dashboards.Agile Methodology experience.

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