Agentforce AI & Cloud Backend Engineering - Atlanta, GA

Digital Technology International; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Digital Technology International is seeking an experienced Agentforce AI & Cloud Backend Engineer in Atlanta, GA to design and deliver scalable AI-powered backend solutions on Google Cloud, leveraging Gemini and modern AI/ML frameworks.

You will build microservices with Python, Cloud Run, and serverless tech, create secure RESTful APIs with API Gateway, and implement IaC with Terraform while joining cross-functional teams.

Qualifications

• 3–5 years in Backend, AI/ML, Cloud, or Software Development.
• 3+ years Python development.
• 2+ years on Google Cloud Platform incl. Cloud Run, GKE, BigQuery, Cloud Storage, AlloyDB, and serverless.
• 2+ years RESTful APIs and Google Cloud API Gateway.
• 2+ years AI/ML or data engineering with Databricks.
• IaC experience with Terraform.
• CI/CD pipelines using GitOps, Azure DevOps, and JFrog Artifactory.
• Experience with Google Pub/Sub and Kafka.
• Strong knowledge of GCP IAM, networking, encryption, security and governance.
• Excellent analytical and stakeholder collaboration skills.

Responsibilities

• Design, develop, and implement scalable AI-powered backend solutions on Google Cloud.
• Develop apps using Gemini API and AI/ML frameworks for NLP and automation.
• Architect microservices with Python, Cloud Run, and serverless tech.
• Build RESTful APIs with Google Cloud API Gateway, emphasizing security and performance.
• Develop AI/ML data pipelines with Databricks for training and inference.
• Implement IaC with Terraform and CI/CD via GitOps using Azure DevOps.
• Manage build artifacts and release with JFrog Artifactory.
• Design event-driven architectures with Pub/Sub and Kafka for enterprise integrations.
• Collaborate with Product Owners, Data Eng, Infra, and Architecture teams.
• Ensure adherence to Google Cloud security standards IAM, encryption, networking.
• Participate in solution design, code reviews, client workshops; provide guidance.

Skills

Backend Engineering

AI/ML Engineering

Cloud Engineering

Python

RESTful APIs

CI/CD

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent

Tools

Google Cloud Platform

Databricks

Terraform

Azure DevOps

JFrog Artifactory

Google Pub/Sub

Kafka

Cloud Run

GKE

BigQuery

Cloud Storage

AlloyDB

Job description

DTS is looking for experienced Agentforce AI & Cloud Backend Engineering for our Client position based in Atlanta, GA

Job Description

• Design, develop, and implement scalable AI-powered backend solutions supporting enterprise Agentforce initiatives on Google Cloud Platform.
• Develop intelligent applications leveraging Google's Gemini API and modern AI/ML frameworks for natural language processing, automation, and generative AI use cases.
• Architect, develop, and optimize cloud-native microservices using Python, Cloud Run, and serverless technologies to deliver secure, highly available, and scalable solutions.
• Build and enhance RESTful APIs utilizing Google Cloud API Gateway while ensuring security, governance, and performance best practices.
• Develop and maintain AI/ML data processing pipelines using Databricks to support model training, inference, and enterprise analytics.
• Implement Infrastructure as Code (IaC) using Terraform and automate deployments through GitOps-based CI/CD pipelines using Azure DevOps.
• Manage build artifacts, package repositories, and release management utilizing JFrog Artifactory.
• Design and implement event-driven architectures using Google Pub/Sub and Kafka to enable scalable enterprise integrations.
• Work closely with Product Owners, Data Engineering, Infrastructure, and Architecture teams to deliver business-driven AI solutions.
• Ensure solutions adhere to Google Cloud security standards including IAM, encryption, networking, compliance, and operational excellence.
• Participate in technical solution design, architecture discussions, code reviews, and client workshops while providing technical guidance and implementation best practices.
• Support client engagements by contributing to technical estimations, solution design, and implementation planning for AI and cloud transformation initiatives.

Basic Qualifications: (What are the skills required to this job with minimum years of experience on each)

• Minimum 3–5 years of experience in Backend Engineering, AI/ML Engineering, Cloud Engineering, or Software Development.
• Minimum 3 years of hands-on experience developing applications using Python.
• Minimum 2+ years of experience designing and deploying solutions on Google Cloud Platform, including Cloud Run, GKE, BigQuery, Cloud Storage, AlloyDB, and serverless services.
• Minimum 2 years of experience developing RESTful APIs and integrating enterprise applications using Google Cloud API Gateway.
• Minimum 2 years of experience implementing AI/ML or data engineering solutions using Databricks.
• Experience implementing Infrastructure as Code using Terraform.
• Experience building CI/CD pipelines utilizing GitOps methodologies, Azure DevOps, and JFrog Artifactory.
• Experience working with messaging and event streaming technologies such as Google Pub/Sub and Kafka.
• Strong understanding of Google Cloud Platform IAM, cloud networking, encryption, security, and governance best practices.
• Excellent analytical, troubleshooting, communication, and stakeholder collaboration skills.

Travel

This position may require up to 20–30% travel depending on client engagements, project requirements, and business needs.

Degree

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent work experience.

Nice To Have (But Not Required)

• Experience with Salesforce Agentforce or enterprise AI platforms.
• Experience working with Google's Gemini models or other Generative AI technologies.
• Knowledge of MLOps frameworks and model lifecycle management.
• Experience with Kubernetes and container orchestration.
• Consulting or client-facing implementation experience.
• Technical leadership or project coordination experience.

Contact

DTS offers excellent compensation package.

Ajay Bharbutta

Digital Technology Solutions