Reingold, Inc.
Google Cloud Data and AI Engineer (DC or Raleigh)
Reingold, Inc., Alexandria, Virginia, us, 22350
Google Cloud Data and AI Engineer (DC or Raleigh)
Join to apply for the
Google Cloud Data and AI Engineer (DC or Raleigh)
role at
Reingold, Inc.
About Reingold Reingold is a full-service marketing and creative firm in Alexandria, VA. For more than 40 years, we’ve been driven by a simple mission: to help organizations—whether in the government, nonprofit, or business sector—strive to make the world a better place. We hire top‑notch talent to develop and launch compelling, inventive communications campaigns, leveraging the latest technology and digital media strategies that enable our clients to meet their audiences where they are.
Essential Functions
Design, build, and maintain conversational AI solutions using Google Cloud services like Vertex AI Search and Dialogflow CX.
Collaborate with development teams to integrate and manage a suite of Google Cloud APIs, including Discovery Engine, Cloud Storage, and BigQuery, ensuring secure and efficient data flow.
Develop and manage API proxies and security policies to facilitate robust integrations between backend services and client‑facing applications.
Monitor the health and performance of Google Cloud Platform (GCP) services, including App Engine and Compute Engine instances, using Cloud Monitoring and Logging to ensure high availability and reliability.
Implement and manage Identity and Access Management (IAM) policies and service accounts within GCP to maintain a secure and compliant cloud environment.
Automate cloud infrastructure tasks and workflows using Python scripting to improve operational efficiency and consistency.
Identify and remediate security vulnerabilities using common scanning and reporting tools, in coordination with security guidelines.
Maintain up‑to‑date documentation and process flows that align with internal standards and operational requirements.
Qualifications Required Qualifications
Active Public Trust clearance or ability to obtain one.
Bachelor’s degree, preferably in computer science, engineering, web development, or related field.
Formal training in computer science, information technology, DevOps, or a related field either through a college degree program or an immersive professional training program.
Hands‑on experience deploying and managing applications and services on Google Cloud Platform.
Practical experience building or maintaining solutions that leverage Google Cloud’s AI and data services.
Proficiency in scripting languages such as Python or Bash for automating cloud tasks and API integrations.
Familiarity with version control systems like Git and the ability to collaborate effectively in a team‑based development environment.
Understanding of cloud administration fundamentals, including networking, IAM, and security best practices within a GCP environment.
Preferred Qualifications
Direct experience building and tuning chatbots or virtual agents using Dialogflow CX and integrating them with data sources via Vertex AI Search and Discovery Engine.
Familiarity with managing APIs through an API gateway, preferably Google Apigee, including setting up proxies and authentication policies.
Experience working with Google Cloud data services such as BigQuery for analytics, Cloud Storage for object storage, and Cloud Datastore for NoSQL databases.
Knowledge of securing sensitive data within GCP using tools like Cloud Data Loss Prevention (DLP) API.
Prior experience in a development‑focused role, especially if you’ve integrated various Google Cloud APIs to build and ship real web applications.
Comfort working across cloud‑native services, infrastructure components, and security controls, with a strong sense of when to leverage managed services versus building custom solutions.
Excellent problem‑solving instincts and a curiosity‑driven mindset, especially around performance, reliability, and automation.
Strong communication skills and the ability to collaborate effectively with developers, engineers, project managers, leadership, and clients.
Supervisory Responsibilities This position will not have direct reports but will be expected to mentor junior teammates and lead by example and influence.
Work Environment and Physical Requirements Prolonged periods sitting at a desk and working on a computer.
Equal Opportunity and Legal Statements Reingold is dedicated to providing equal opportunity for individuals of all abilities. If you require assistance or need accommodation at any stage of the application process because of a disability or medical condition, please feel free to email careers@reingold.com or contact a member of the People & Experience team at 202-333-0400.
Reingold has a policy of maintaining a workplace free of drugs and alcohol. For access to the full policy, which is part of the Reingold Employee Handbook, email careers@reingold.com. Reingold ensures a safe, healthy, and productive work environment for its employees and others. All applicants are advised that full compliance with this policy is a condition of employment at Reingold.
Applicants must have authorization to work for any employer in the United States. We are currently unable to sponsor or to take over sponsorship of an employment visa.
Reingold is proudly an Equal Opportunity Employer. We invite applications from all interested individuals, including veterans and persons with disabilities.
#J-18808-Ljbffr
Google Cloud Data and AI Engineer (DC or Raleigh)
role at
Reingold, Inc.
About Reingold Reingold is a full-service marketing and creative firm in Alexandria, VA. For more than 40 years, we’ve been driven by a simple mission: to help organizations—whether in the government, nonprofit, or business sector—strive to make the world a better place. We hire top‑notch talent to develop and launch compelling, inventive communications campaigns, leveraging the latest technology and digital media strategies that enable our clients to meet their audiences where they are.
Essential Functions
Design, build, and maintain conversational AI solutions using Google Cloud services like Vertex AI Search and Dialogflow CX.
Collaborate with development teams to integrate and manage a suite of Google Cloud APIs, including Discovery Engine, Cloud Storage, and BigQuery, ensuring secure and efficient data flow.
Develop and manage API proxies and security policies to facilitate robust integrations between backend services and client‑facing applications.
Monitor the health and performance of Google Cloud Platform (GCP) services, including App Engine and Compute Engine instances, using Cloud Monitoring and Logging to ensure high availability and reliability.
Implement and manage Identity and Access Management (IAM) policies and service accounts within GCP to maintain a secure and compliant cloud environment.
Automate cloud infrastructure tasks and workflows using Python scripting to improve operational efficiency and consistency.
Identify and remediate security vulnerabilities using common scanning and reporting tools, in coordination with security guidelines.
Maintain up‑to‑date documentation and process flows that align with internal standards and operational requirements.
Qualifications Required Qualifications
Active Public Trust clearance or ability to obtain one.
Bachelor’s degree, preferably in computer science, engineering, web development, or related field.
Formal training in computer science, information technology, DevOps, or a related field either through a college degree program or an immersive professional training program.
Hands‑on experience deploying and managing applications and services on Google Cloud Platform.
Practical experience building or maintaining solutions that leverage Google Cloud’s AI and data services.
Proficiency in scripting languages such as Python or Bash for automating cloud tasks and API integrations.
Familiarity with version control systems like Git and the ability to collaborate effectively in a team‑based development environment.
Understanding of cloud administration fundamentals, including networking, IAM, and security best practices within a GCP environment.
Preferred Qualifications
Direct experience building and tuning chatbots or virtual agents using Dialogflow CX and integrating them with data sources via Vertex AI Search and Discovery Engine.
Familiarity with managing APIs through an API gateway, preferably Google Apigee, including setting up proxies and authentication policies.
Experience working with Google Cloud data services such as BigQuery for analytics, Cloud Storage for object storage, and Cloud Datastore for NoSQL databases.
Knowledge of securing sensitive data within GCP using tools like Cloud Data Loss Prevention (DLP) API.
Prior experience in a development‑focused role, especially if you’ve integrated various Google Cloud APIs to build and ship real web applications.
Comfort working across cloud‑native services, infrastructure components, and security controls, with a strong sense of when to leverage managed services versus building custom solutions.
Excellent problem‑solving instincts and a curiosity‑driven mindset, especially around performance, reliability, and automation.
Strong communication skills and the ability to collaborate effectively with developers, engineers, project managers, leadership, and clients.
Supervisory Responsibilities This position will not have direct reports but will be expected to mentor junior teammates and lead by example and influence.
Work Environment and Physical Requirements Prolonged periods sitting at a desk and working on a computer.
Equal Opportunity and Legal Statements Reingold is dedicated to providing equal opportunity for individuals of all abilities. If you require assistance or need accommodation at any stage of the application process because of a disability or medical condition, please feel free to email careers@reingold.com or contact a member of the People & Experience team at 202-333-0400.
Reingold has a policy of maintaining a workplace free of drugs and alcohol. For access to the full policy, which is part of the Reingold Employee Handbook, email careers@reingold.com. Reingold ensures a safe, healthy, and productive work environment for its employees and others. All applicants are advised that full compliance with this policy is a condition of employment at Reingold.
Applicants must have authorization to work for any employer in the United States. We are currently unable to sponsor or to take over sponsorship of an employment visa.
Reingold is proudly an Equal Opportunity Employer. We invite applications from all interested individuals, including veterans and persons with disabilities.
#J-18808-Ljbffr