Quantiphi

GCP Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Engineer with a contract length of "unknown," offering a pay rate of "$XX per hour." Key skills include AWS/GCP proficiency, CI/CD pipeline experience, and familiarity with SQL/NoSQL databases. Cloud-related certifications are preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 25, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Monitoring #Terraform #Puppet #Scala #SNS (Simple Notification Service) #Storage #Deployment #Docker #Big Data #Ansible #Infrastructure as Code (IaC) #Snowflake #Containers #Kubernetes #AI (Artificial Intelligence) #Cloud #NoSQL #ML (Machine Learning) #Artifactory #GIT #Java #Automation #Linux #Bash #Maven #SQS (Simple Queue Service) #SQL (Structured Query Language) #SonarQube #Web Services #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Jenkins #Databases #AWS (Amazon Web Services) #CHEF #Python
Role description
About Quantiphi Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovateβ€”we lead. Headquartered in Boston, with 4000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with: β€’ 17x Google Cloud Partner of the Year awards in the last 8 years β€’ 3x AWS AI/ML award wins β€’ 3x NVIDIA Partner of the Year titles β€’ 2x Snowflake Partner of the Year awards β€’ We have also garnered Top analyst recognitions from Gartner, ISG, and Everest Group. β€’ We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. β€’ We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Job Description: Required Skills β€’ Proficiency in deploying and maintaining Cloud based infrastructure services (AWS/GCP) β€’ Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks. β€’ Good knowledge of cloud related services like compute, storage, network, messaging (Eg SNS,SQS) and automation (Eg. CFT/Terraform). β€’ Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. β€’ Experience in systems management/automation tools (Puppet/Chef/Ansible, Terraform) β€’ Basic understanding of Linux System Admin with basic troubleshooting and problem-solving skills β€’ Basic hands-on experience with languages (Bash/Python/Core Java/Scala) β€’ Experience with CI/CD pipeline (Jenkins, Git, Maven etc) Role & Responsibilities β€’ Develop and deliver automation software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms β€’ Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset β€’ Design, architect, and build self-service, self-healing, synthetic monitoring and alerting platform and tools β€’ Automate the deployment and test automation processes through CI/CD pipeline (Git, Jenkins,SonarQube, Artifactory, Docker containers) β€’ Build container hosting-platform using Kubernetes β€’ Introduce new cloud technologies, tools & processes to keep innovating in the commerce area to drive greater business value What is in it for you: β€’ Be part of the fastest-growing AI-first digital transformation and engineering company in the world β€’ Be a leader of an energetic team of highly dynamic and talented individuals β€’ Exposure to working with fortune 500 companies and innovative market disruptors β€’ Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud