Top Tech Jobs & Startup Jobs

Designs, develops, documents, tests, and validates integrations between SAP source systems, external manufacturers, and Kinaxis Maestro. Translates business requirements into technical mappings, configures SAP BTP integrations, validates data quality and business logic, and coordinates integration architecture across product, business, SAP, and development teams. The role requires expertise in ABAP, SAP ECC and S/4HANA data models, SAP BTP, synchronous and asynchronous integration patterns, and SAP planning or supply-chain systems.

Design, operate, and scale core infrastructure across compute, networking, CI/CD, Kubernetes, and observability. Improve developer experience through paved paths and automation, lead production incident triage, analyze logs and data, and drive root-cause resolution. Partner with engineering teams on scalable infrastructure architecture, apply AI tools effectively, and communicate technical trade-offs to technical and non-technical stakeholders.

Own digital marketing and qualified web lead generation, focusing on SEO, AEO, website performance, analytics, CMS management, content syndication, and conversion optimization. Manage GA4, Search Console, Tag Manager, Looker Studio, and SEO tools; improve rankings, AI search visibility, Core Web Vitals, landing pages, and lead funnels. Run A/B tests, monitor attribution and conversion quality, and collaborate with content, campaign, design, and development teams.

Design and implement complex web applications, improve engineering and quality standards, create CI/CD pipelines, support technical hiring, and coach junior and mid-level engineers. The role requires advanced Node.js development, TypeScript and React, database querying, testing, Docker-based deployment, AWS infrastructure configuration, and Kafka knowledge.

Lead QA automation initiatives by architecting frameworks, migrating automation suites to Playwright, and developing UI and API tests. Integrate testing into CI/CD pipelines, define quality metrics, maintain testing infrastructure, document standards, conduct peer reviews, assess product quality, mitigate testing risks, and provide technical guidance and onboarding for QA teams.

Lead enterprise AI platform automation across infrastructure provisioning, CI/CD, governance, observability, deployment, and lifecycle management. Build self-service capabilities for GenAI, data science, data engineering, and analytics workloads using Terraform, Kubernetes, cloud technologies, Python, and DevSecOps practices. Support agentic AI, event-driven architectures, distributed computing, and operational reliability while collaborating with engineering, architecture, governance, security, and business stakeholders. Provide technical leadership, design reviews, mentoring, and best-practice guidance.

Refactor and modernize automation frameworks, build robust Selenium and REST API test suites, own framework tasks, support testing across multiple feature squads, and independently identify and resolve technical issues. The role requires strong Python development experience, autonomy, proactive problem-solving, and clear English communication. Familiarity with CI/CD, DevOps, microservices, Linux, and PostgreSQL is desirable.

Designs, implements, deploys, and maintains high-quality .NET applications using monolithic, microservice, and serverless architectures. The role involves complex SQL development and performance tuning, code reviews, quality metrics, infrastructure configuration, application security, technical interviews, and mentoring junior engineers. The position is fully remote but based in Argentina.

Build and govern enterprise design systems, UI libraries, and reusable web components. Own front-end architecture, accessibility, performance, tooling, versioning, documentation, and testing pipelines across multiple applications. Collaborate with product, UX, architecture, and DevOps teams across LATAM and US time zones. Mentor engineers on JavaScript, TypeScript, testing, and component design.

Design, implement and test back-end components in a microservice architecture. Participate in architecture and design decisions, write unit/integration/functional tests, collaborate with QA and stakeholders, troubleshoot and optimize applications, and follow clean code and software best practices in an Agile, distributed team.