Agentforce - Backend & AI/ML Engineer

VDart, Inc.

Alpharetta, GA, United States

21 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$122,600.0 - $204,400.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

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)

+18 more

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

Job 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 +

Requirements

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.