Req ID: 383090
We are currently seeking a
Backend & AI/ML Engineer to join our team in Alpharetta, Georgia,, Georgia (US-GA), United States (US).
Day to Day Job Duties: - Develop and support cloud-native data engineering solutions on Google Cloud Platform.
- Build and maintain data ingestion and processing pipelines using Databricks.
- Design, deploy, and support GCP infrastructure using Terraform.
- Develop and maintain CI/CD pipelines using GitOps methodologies.
- Manage repositories and build artifacts using Azure DevOps and JFrog Artifactory.
- Support containerized applications running on GKE and Cloud Run.
- Develop integrations using Pub/Sub, Kafka, and REST APIs.
- Work with GCP data services including BigQuery, AlloyDB, Cloud Storage, and Spanner.
- Monitor, troubleshoot, and optimize cloud infrastructure and deployment pipelines.
- Implement IAM, encryption, and cloud security best practices.
- Collaborate with cross-functional teams to deliver scalable cloud solutions.
Required Qualifications- 5+ years of experience in DevOps, Cloud Engineering, or Data Engineering.
- 5+ years experience with Google Cloud Platform services including GKE, Cloud Run, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.
- 5+ years experience with Databricks and data ingestion pipelines.
- 5+ years experience implementing CI/CD pipelines using GitOps and Azure DevOps.
- 5+ years experience with JFrog Artifactory.
- 5+ years experience implementing Infrastructure as Code using Terraform.
- 5+ years experience with Pub/Sub, Kafka, and API development.
Preferred Experience:- Understanding of GCP IAM, encryption, and cloud security best practices.
- Strong troubleshooting, analytical, and communication skills.
Education - Bachelor's degree in Computer Science, Engineering, or a related field.
#LI-NorthAmericaNTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $106,840.00 to $160,260.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
