Build and operate Google Cloud infrastructure supporting a GCP migration and AI-powered retail technology platform. Responsibilities include creating Terraform Infrastructure as Code, deploying containerized workloads with GKE and Cloud Run, and improving reliability, observability, and cost efficiency. The role collaborates with engineering, security, and finance teams and offers a path toward senior platform ownership.
Join a US-based retail tech company that uses AI to power product discovery and visual merchandising for leading fashion and home brands. You’ll be part of a small, hands-on infrastructure team supporting a GCP migration and the platform behind its products.
In this role, you’ll implement and operate cloud infrastructure on Google Cloud Platform. That includes building Infrastructure as Code with Terraform, deploying containerized workloads on GKE and Cloud Run, and improving reliability, observability, and cost efficiency. You’ll work closely with engineering, security, and finance, alongside senior engineers who set the architecture. That gives you a clear path to grow toward senior-level ownership of the platform.
RequirementsTech Stack
- 3+ years in cloud infrastructure, DevOps, or platform engineering
- Solid hands-on Google Cloud Platform experience across core services
- Working experience with Infrastructure as Code using Terraform
- Working understanding of GCP networking fundamentals
- Familiarity with CI/CD pipelines and DevOps practices
- English proficiency
- Based in LATAM
- Hands-on experience with Kubernetes and GKE is a plus
- Hands-on experience with Docker and Helm is a plus
- Working experience with Linux, Bash, or Python is a plus
- Google Cloud Associate or Professional certification
- Exposure to ML/AI infrastructure such as Vertex AI
- Experience with BigQuery
- Exposure to SOC 2 or similar compliance frameworks
Benefits
- Trip to Headquarters in Buenos Aires
- A US$ 1,000 welcome package to get you started with the right gear
- English conversation club & workshops
- Health insurance
- Psychotherapy sessions
- Flexible payments in crypto, wire transfer, Wise, PayPal, or Payoneer
- Unlimited reskilling in Udemy, Education IT & O'Reilly
- Internet service
- AI Tools & Learning Program
- Co-working spaces
- Paid time off
Similar Jobs
Information Technology
Designs, configures, and deploys Genesys Cloud IVR flows, WhatsApp Business integrations, digital routing, and outbound skill-based dialing campaigns. Integrates Genesys Cloud with internal systems using APIs, Data Actions, webhooks, EventBridge, and the Embeddable Framework. Provides technical support, documents solutions, develops testing standards, and supports Marketing campaign rollouts. Requires advanced Genesys Cloud CX experience and fluency in English and Spanish.
Top Skills:
AcdData ActionsDigital RoutingElevenlabsEmbeddable FrameworkEventbridgeGenesys Cloud ArchitectGenesys Cloud CxGenesys Cloud Rest ApisGenesys ComposerGenesys OnpremOutbound Campaign ManagementSkill-Based DiallingSpeech And Text AnalyticsStir/ShakenWebhooksWhatsapp Business Api
Artificial Intelligence • Information Technology • Software
Designs and maintains secure, scalable Azure or AWS cloud infrastructure across cloud and on-premises environments. Develops infrastructure-as-code, CI/CD pipelines, IAM controls, security guardrails, audit logging, backup and restoration processes, and observability solutions. Leads infrastructure hardening, compliance, incident investigation, and secure DevOps practices while collaborating with engineering and security teams. The role also requires client-focused problem solving, project oversight, mentorship, communication, and active adoption of AI tools.
Top Skills:
Anthropic Ai ToolsAWSAzureCedarCi/CdClaudeIdentity And Access Management (Iam)Infrastructure As Code (Iac)Logging And MonitoringObservabilityOpen Policy Agent (Opa)
Cloud • Information Technology • Software • Consulting • Web3
Owns production cloud infrastructure for AI systems, including Kubernetes clusters, infrastructure as code, CI/CD pipelines, observability, incident response, security hardening, cost management, and capacity planning. The role supports AI inference workloads across cloud environments, maintains internal tooling and documentation, and collaborates directly with developers, QA, and clients. Candidates need strong production DevOps or SRE experience, cloud expertise, infrastructure automation skills, and advanced English communication.
Top Skills:
AWSAzureBashCi/CdClaude CodeCloudwatchCursorDatadogDockerDynamoDBGCPGitGithub ActionsGithub CopilotGitlabGoHelmIstioKubernetesKustomizeLinkerdLinuxMongoDBPostgresPythonRdsService MeshTerraform
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
