Solutions Engineer

• Design, develop, and maintain integrations between different systems and platforms using APIs and other integration technologies.
• Build and support data pipelines that enable the movement and availability of customer data across platforms.
• Work with customer data platforms (CDPs) and related technologies to support customer data management and activation initiatives.
• Implement solutions for data matching, identity resolution, and the management of customer identifiers across different systems.
• Ensure data quality, consistency, and reliability across integrated platforms.
• Troubleshoot integration issues and identify opportunities to improve existing processes.
• Collaborate with engineering, data, and business teams to understand requirements and deliver effective solutions.
• Support secure handling of customer data, including working with encrypted or hashed identifiers.

Integration Engineer, Customer Data Platform

• Design and execute application migrations into Kubernetes clusters.
• Develop and maintain deployment automation for containerized workloads.
• Configure and deploy workloads using Helm charts and Kubernetes primitives.
• Troubleshoot and resolve deployment, integration, and runtime issues.
• Validate application performance and behavior after migration.
• Collaborate with platform, DevOps, and application teams to define integration requirements.
• Build and maintain Kubernetes networking and integration configurations.
• Support cloud-native modernization efforts on AWS and Azure.
• Document migration processes, runbooks, and post-migration validations.

Senior Platform Integration Engineer

• Set and create cloud-native architectures on AWS across multiple projects, ensuring scalability and security from the ground up
• Lead teams of engineers (Data Science, Development, Cloud, AI) across various industries such as Healthtech, Media, or AI transformation
• Partner with the CEO/CTO on technical discovery, effort estimation, and creating solution architecture diagrams for potential clients
• Define strategy for agentic workflows, RAG implementations, and MCP-based integrations
• Conduct code reviews, enforce engineering best practices, and lead technical interviews to benchmark talent as the team scales

Solutions Architect – Technical Team Lead, AWS, Python, AI/LLM, Terraform

• Lead technical discovery with enterprise customers
• Deliver live demos, technical deep dives, and executive-level presentations
• Design and document deployment architectures
• Own end-to-end proof-of-value engagements
• Troubleshoot deployment and performance issues
• Drive transition from POV to production
• Act as the technical voice of the customer

Senior Solutions Engineer – AI Data, Unstructured Data Platforms

• Take full ownership of new connector requests, driving them from initial requirement to production enablement.
• Lead and push homologation processes with Security and other internal stakeholders until approval is achieved.
• Identify and resolve technical and administrative bottlenecks that slow down adoption.
• Coordinate with business and technology teams to ensure use cases progress effectively.
• Ensure connectors are not only approved but fully operational and usable in real scenarios.
• Provide technical clarity around integrations and connector architecture.
• Actively drive adoption of low-code solutions across teams.
• Lay the groundwork for future advanced automation initiatives.

Solutions Engineer jobs in Argentina

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Integration Engineer, Customer Data Platform

Senior Platform Integration Engineer

Solutions Architect – Technical Team Lead, AWS, Python, AI/LLM, Terraform

Senior Solutions Engineer – AI Data, Unstructured Data Platforms

AI Specialist, Solutions Architect