Top Tech Jobs & Startup Jobs in Sao Paulo

Build and operate reliable, observable backend systems across AWS infrastructure and Python services. Responsibilities include defining SLOs and error budgets, designing observability, managing 24/7 incident response, conducting postmortems, improving performance and resilience, automating toil reduction, maintaining infrastructure as code and CI/CD, creating documentation, and mentoring SRE engineers. The role also advises clients and leadership on reliability strategy and supports AI workloads.

Principal Platform Engineer responsible for architecting and building AI-enabled cloud infrastructure, primarily on AWS with Azure support. The role focuses on agentic AI platforms, cloud account and environment design, SDN micro-segmentation, centralized policy control planes, and Infrastructure as Code using OpenTofu, Terramate, Ansible, and GitHub Actions. Responsibilities also include architecture leadership, software design, requirements and release management, risk assessment, technical standards, audits, and cross-functional leadership.

Drive enterprise software revenue across the Southeastern United States by managing strategic accounts, developing account strategies, identifying expansion opportunities, and selling Ivanti solutions directly and through partners. Build C-suite relationships, act as a trusted technology advisor, oversee account management, lead executive discussions, and manage sales from prospecting through closure. Frequent customer travel is required.

Administer employee benefit programs, including enrollment, life events, eligibility changes, and open enrollment. Respond to employee inquiries, process benefits transactions in HR systems, coordinate with vendors, resolve cases, maintain documentation, and identify process improvement opportunities. The role requires accurate handling of confidential employee data, policy interpretation, and fluent English, Portuguese, and Spanish.

Build and maintain scalable, testable backend systems and RESTful APIs; implement best practices, concurrency, and integrations; automate build/deploy pipelines; evaluate and adopt backend and AI-related technologies to ensure high-quality deliveries.

Own AI agent deployments and outcomes for strategic accounts, drive automation and resolution rates, advise enterprise CX leaders, design evaluation systems, and turn deployment insights into scalable platform capabilities. Lead launches from testing through general availability, including demos, enablement, and sales collaboration. Diagnose technical, operational, and stakeholder challenges while shaping AI-powered customer experience products.

Report, write, and fact-check consumer-facing stories about books, authors, literary trends, and the publishing industry. Develop distinctive, shareable news and feature ideas; cultivate industry sources; produce timely analysis, enterprise reporting, interviews, and long-form narratives for The Wall Street Journal and WSJ. Magazine. Collaborate across editorial teams, use audience data, and uphold rigorous standards for accuracy, fairness, ethics, and quality.

Build and deploy production-grade agentic AI and machine learning systems, including scalable backend services, data pipelines, RAG applications, and cloud infrastructure. Collaborate with ML engineers, data scientists, and clients to discover use cases, develop AI-powered products, optimize platform performance, and support deployments. The role also involves MLOps, model monitoring and versioning, automated testing, infrastructure management, research and development, and direct client engagement.

Supports daily HR Services operations, including monthly time and attendance processing, platform administration, employee and manager assistance, data entry, record maintenance, reporting, documentation, policy compliance, and process improvement. The role requires strong organization, communication, analytical skills, attention to detail, technology adaptability, and a customer-focused approach in a hybrid office environment.

Leads Customer Order Management teams serving assigned accounts or regions. Plans staffing and workflows, monitors performance, handles escalated customer inquiries, coordinates cross-functional issue resolution, develops process guidance, tracks improvement initiatives, manages reporting and metrics, and supports continuous improvement projects. Ensures customer service excellence, accurate order information, effective use of departmental systems and procedures, and timely resolution of recurring order management issues.