Build and operate a secure, scalable, and automated Google Cloud Platform ecosystem to enable rapid deployment of AI and Generative AI solutions into production.
Compensation
The annual salary for this position is $62,500 - $99,000 USD, depending on experience, qualifications, geographic location, and other job-related factors.
Responsibilities
Build and maintain CI/CD pipelines supporting AI applications, APIs, cloud services, and model deployment workflows within Google Cloud Platform.
Design, implement, and manage Infrastructure as Code (IaC) solutions using Terraform.
Establish deployment pipelines and environment management processes across development, QA, staging, and production environments.
Support the deployment and operationalization of AI and Generative AI solutions by leveraging Vertex AI and Gemini services.
Implement monitoring, observability, logging, alerting, and operational dashboards utilizing GCP-native and industry-standard tools.
Requirements
Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.
Seeking a Lead Software Engineer to provide technical leadership for enterprise AI platforms that enable the development, deployment, and operation of intelligent applications, agents, and automation solutions.
Locations (3)
Atlanta, Georgia, United States
Dallas, Texas, United States
Mahwah, New Jersey, United States
Compensation
The base pay for this position ranges from $108,600/year to $231,084/year.
Responsibilities
Lead the architecture, design, and implementation of enterprise AI platform capabilities.
Provide technical leadership for OpenShift-based platform environments supporting AI and intelligent automation workloads.
Define engineering standards, operational processes, and platform governance practices.
Build and maintain scalable, secure, and highly available platform services.
Design, deploy and manage containerized environments using Kubernetes, GKE, AKS, or similar platform.
Document security configurations, procedures and guidelines for containerized environments, ensuring compliance with organizational standards and regulatory requirements.
Develop and maintain security tools, scripts, and automation workflows to enhance container security operations and incident response capabilities.
Utilize IaC tools such as Terraform to automate infrastructure provisioning, ensure consistent configuration and prevent drift.
Work with microservice architecture, designing APIs, managing Ingress controllers, and implementing service meshes for improved scalability and security.
Seeking a Senior Google Cloud Platform (GCP) Engineer to support, optimize, and govern a complex cloud environment, leading the buildout of a new enterprise GCP platform from the ground up.
Compensation
$80.00 - $110.00/hr
Responsibilities
Design, deploy, and manage cloud infrastructure within Google Cloud Platform (GCP).
Support production cloud environments and troubleshoot complex infrastructure, networking, and application-related issues.
Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform.
Administer and support Kubernetes environments utilizing Google Kubernetes Engine (GKE).
Implement and maintain CI/CD pipelines and deployment automation.
Lead identity and access protection for Google Cloud and DevOps services, owning single sign-on and federation across the platform and supporting the IAM Modernization program.
Responsibilities
Design, build, and support Google Cloud Platform infrastructure and CI/CD pipelines using Terraform and GitOps
Own single sign-on and federation across the platform, connecting the enterprise identity provider with Google Cloud and platforms
Implement Google Cloud Workload Identity and Workload Identity Federation for secure access
Manage GCP IAM roles, groups, and least-privilege access patterns
Maintain HashiCorp Vault integrations for secrets management
Provide domain expertise in cloud platforms and infrastructure, solve complex cloud platform challenges.
Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives.
Serve as a technical advisor and perform troubleshooting to resolve technical challenges for customers.
Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.
Analyze and research cloud-native tools and frameworks to design innovative Google Cloud Platform (GCP) solutions that meet client requirements.
Support the T-Systems Public Cloud Product Management Team to build and define solutions based on customer and market feedback.
Contribute to the implementation of cloud solutions, automation, and service improvement initiatives using Google Cloud technologies.
Participate in technical workshops and assist in pilot and proof-of-concept projects.
Collaborate with senior architects and engineers to review client workloads, provide technical support, and align solutions with Google Cloud best practices.
Requirements
A degree in Computer Science, Information Technology, or a related technical discipline.
Develop automation for platform provisioning, deployment, upgrades, monitoring, and lifecycle management.
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