DevOps & Data Engineer - GCP (Google Cloud...
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Role details
Tech stack
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Job description
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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.
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Develop and optimize APIs using Google Cloud API Gateway while following security and performance best practices.
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Build and maintain AI/ML data pipelines using Databricks.
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Develop and maintain CI/CD pipelines using GitOps methodologies.
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Manage build artifacts and repositories using JFrog Artifactory and Azure DevOps.
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Work with GCP data services including BigQuery, AlloyDB, Cloud Storage, and Spanner.
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Develop event-driven integrations using Pub/Sub and Kafka.
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Implement Infrastructure as Code using Terraform.
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Collaborate with Product, Data Engineering, and Infrastructure teams to deliver scalable AI solutions.
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Follow GCP security, IAM, encryption, and cloud best practices throughout the development lifecycle. Required Qualifications
Requirements
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5+ years of experience in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering.
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5+ years experience with Google Cloud Platform services including Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.
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5+ years experience developing applications using Python.
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5+ years experience with Databricks for AI/ML and data processing workloads.
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5+ years experience with REST API development and Google Cloud API Gateway.
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5+ years experience with CI/CD, GitOps, Azure DevOps, and JFrog Artifactory.
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5+ years Experience implementing Infrastructure as Code using Terraform.
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5+ years experience with Pub/Sub or Kafka.
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5+ years experience of GCP IAM, encryption, and cloud security best practices.
Preferred Qualifications.
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Strong analytical, troubleshooting, and problem-solving skills.
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Good communication and collaboration skills.
Education
- Bachelor’s degree in Computer Science, Engineering, or a related field.
Benefits & conditions
NTT 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.
About NTT DATA
About the company
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
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