15 Platform Engineer jobs in Argentina available for remote work from home. Apply for positions such as Platform Engineer, Software Engineer, Platform - Buenos Aires, Argentina, Software Engineer, Platform - Córdoba, Argentina and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will design and evolve the internal cloud platform to enable engineering teams to deliver software faster and more securely. This involves building self-service capabilities, automating infrastructure, and maintaining high standards for reliability and governance.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The Cloud Platform Engineer is responsible for designing, deploying, and managing cloud infrastructure across AWS, Azure, and GCP. They will also collaborate with development teams to implement CI/CD pipelines and ensure the reliability and security of cloud environments.
Design and maintain scalable data platforms on AWS and Snowflake while defining standards for data modeling, orchestration, and quality. Lead technical decisions for infrastructure automation and provide data infrastructure support for AI/ML workloads.
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Solve complex production problems end-to-end by diagnosing root causes and building automation to prevent recurrence. Act as a bridge between customer issues and product development to improve overall product quality.
Modernize the origination ecosystem by replacing legacy .NET systems with scalable Python services on Databricks. Design and implement secure APIs and integrations to support internal workflows and third-party platforms.
Build and evolve the core platform for financial reporting, including Excel Web Add-ins, cloud APIs, and secure on-prem connector services. Translate business needs into technical designs and implement AI-assisted features to enhance reporting and workflow acceleration.
The Platform Observability Engineer will onboard application services onto the Grafana observability stack and implement configurations as code. They will collaborate with application teams to define operational signals, dashboards, and alerts while migrating legacy monitoring to modern standards.
You will design, operate, and scale the Kubernetes platform to support global financial infrastructure. This includes building automation, managing cluster operations, and participating in on-call rotations to ensure system reliability.
You will own the resolution of complex production issues end-to-end, ranging from debugging agent behavior to fixing backend services. You will also build automation and feedback loops to prevent recurring issues and improve overall product quality.
The Platform Database Engineer is responsible for designing, deploying, and optimizing MongoDB environments within a large-scale cloud ecosystem. They will lead incident response, implement infrastructure-as-code solutions, and ensure high availability and security across data platforms.
The role involves splitting time between developing the Chiri Brain governed AI control plane and orchestration systems (60-70%) and designing/shipping real-world applied AI systems involving data ingestion, computer vision, and intelligent scoring workflows (30-40%). Responsibilities include building AI control-plane primitives, implementing auditable inference pipelines, and designing scalable data ingestion and scraping systems.
![Software Mind is hiring for remote [VMT] Platform AI Software Engineer](/assets/2083550c-5c59-4fae-b76e-a23e4817e5f2.jpeg){kind=small}
The role focuses on strengthening core AI systems by diagnosing performance issues and improving platform reliability and observability. You will be responsible for enhancing AI agent behavior and refactoring complex code to ensure system scalability.
Maintain and evolve a backend analytics and data processing platform focusing on dashboards and attribution. Responsibilities include fixing production issues, optimizing complex SQL scripts, and providing operational technical support.
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