Senior Support Engineer

🕒 July 8

🌐 Argentina, Uruguay, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇺🇾 Uruguay – Remote 🇨🇴 Colombia – Remote

⏱ Part Time

🟠 Senior

📞 Support Engineer

👻 Ghost score 17%

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Altoros

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Altoros is a leading IT services provider specializing in cloud-native technologies and platform-as-a-service solutions. The company offers enterprise-grade consulting and support services, particularly focused on Kubernetes and VMware Tanzu implementations. Altoros assists Global 2000 companies in their digital transformation by providing DevOps, infrastructure automation, and custom software development services. With expertise in Kubernetes, Istio, and cloud platforms like AWS and Azure, Altoros helps organizations achieve their DevOps goals through optimized infrastructure and software delivery processes.

📋 Description

• Maintain and extend authentication and SSO integration • Own navigation and application shell components (modern front-end framework, e.g., React / TypeScript) • Manage tenant and user management, including multi-tenancy considerations • Build and maintain data ingestion pipelines • Operate and extend orchestration workflows in Dagster • Develop and maintain transformation logic in dbt and SQL • Work with the data warehouse on Google Cloud Platform (GCP), primarily BigQuery • Maintain the semantic layer in Cube, including metric definitions and data modeling • Customize and update Embeddable component files pulled into the client's repo • Maintain theming and keep the Embeddable SDK current • Maintain centralized documentation in Confluence, including DBML/database diagrams • Capture ongoing knowledge for handover and continuity purposes • Work to defined outcome targets from month two: P1 issue resolution/mitigation within one business day, defect reduction against an agreed baseline, and business-hours availability once the client is live • Use spare capacity (when live issues don't consume the monthly band) on preventative maintenance, hardening, and onboarding new data sources/integrations

🎯 Requirements

• AI-first delivery (core requirement): hands-on with Claude Code (or similar) / AI-assisted engineering across the full development lifecycle; Anthropic's professional courses and certification are a strong plus (or readiness to complete them) • Full-stack development experience, including a modern front-end framework (e.g. React / TypeScript), authentication/SSO implementation, and multi-tenant application architecture • Hands-on experience with Dagster for orchestration (or similar tools) • Strong DBT and SQL experience for data transformation • Experience with BigQuery and the Google Cloud Platform (GCP) data stack • Experience with Cube or a comparable semantic-layer / metrics-layer tool • Familiarity with embedded analytics tooling (Embeddable or similar), component customization, theming, SDK integration • Comfortable working independently and engaging directly with client stakeholders • Strong documentation discipline: Confluence, DBML/ER diagrams • Available to work core hours aligned to Chicago time (CT)