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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentforce - Backend & AI/ML Engineer - **Company:** VDart, Inc. - **Location:** Alpharetta, GA, United States - **Experience:** Expert - **Salary:** $122,600.0 - $204,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, BigQuery, Cloud Computing Security, Cloud Engineering, Cloud Storage, Continuous Integration, Information Engineering, DevOps, Identity and Access Management, Python (Programming Language), Machine Learning, Software Systems, Data Processing, Google Cloud, Spring Cloud, Software Application Programming, Backend, Git Flow, Information Technology, Apache Kafka, Cloud Optimization, Api Gateway, Restful APIs, Terraform, Data Pipelines, Serverless Computing, Databricks, Artifactory - **Published:** August 13, 2026 - **Apply:** https://www.careerjet.com/jobad/usea1fce0bcc72f6ceee9633af16e58c1d ## About the Role Bachelor's degree in computer science, Engineering, or a related field. 3 5 years of experience in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering. Hands-on experience with Google Cloud Platform services including Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, and serverless technologies. Experience developing applications using Python. Working knowledge of Databricks for AI/ML and data processing workloads. Experience with REST API development and Google Cloud API Gateway. Experience with CI/CD, GitOps, Azure DevOps, and JFrog Artifactory. Experience implementing Infrastructure as Code using Terraform. Experience with Pub/Sub or Kafka. Understanding of GCP IAM, encryption, and cloud security best practices. Strong analytical, troubleshooting, and problem-solving skills. Good communication and collaboration skills. ## Description Build and enhance cloud-native applications using Python, Databricks, and Google Cloud Platform. Design, develop, and maintain scalable backend services using Cloud Run and serverless architectures. Develop and optimize APIs using Google Cloud API Gateway while following security and performance best practices. Build and maintain AI/ML data pipelines using Databricks. Develop and maintain CI/CD pipelines using GitOps methodologies. Manage build artifacts and repositories using JFrog Artifactory and Azure DevOps. Work with GCP data services including BigQuery, AlloyDB, Cloud Storage, and Spanner. Develop event-driven integrations using Pub/Sub and Kafka. Implement Infrastructure as Code using Terraform. Collaborate with Product, Data Engineering, and Infrastructure teams to deliver scalable AI solutions. Follow GCP security, IAM, encryption, and cloud best practices throughout the development lifecycle., The Lead Software Engineer is a hands-on technical leader responsible for driving the full-stack design, development, and delivery of software solutions across one or more small, h… + 10 days ago, The Lead Software Engineer is a hands-on technical leader responsible for driving the full-stack design, development, and delivery of software solutions across one or more small, h… + 10 days ago + ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)