Top Tech Jobs & Startup Jobs

Design and implement data security architecture across cloud storage, data lakes, warehouses, SaaS, and data pipelines. Lead DSPM and DLP implementations, sensitive-data mapping, encryption, masking, tokenization, retention, and sharing controls. Build Python- and API-based automations, integrate SOAR workflows, and enforce cloud security through Terraform. Partner with data, machine learning, legal, governance, and IT teams to translate privacy requirements into scalable controls.

Designs, builds, and maintains scalable, secure data platforms and end-to-end pipelines. Responsibilities include data modeling, transformation, quality, troubleshooting, performance optimization, deployment monitoring, governance, self-service data enablement, stakeholder alignment, and evaluating new technologies. The role also contributes to strategic technical direction, data-driven culture, coding standards, and cross-team leadership.

Architects, develops, and deploys machine learning systems for chatbots and search. Designs experiments, analyzes structured and unstructured data, improves models, and applies scientific methods to LLM-powered applications. The role evaluates prompts, agents, capabilities, and guardrails while building generative AI proofs of concept. It also provides technical leadership and contributes to Data Science chapter decisions, reviews, and knowledge sharing.

Architects, develops, and deploys machine learning systems for chatbot and search applications. Designs experiments, analyzes structured and unstructured data, and develops LLM-powered applications using prompt experimentation, agent evaluation, guardrails, and generative AI proof-of-concepts. Provides technical leadership within the Data Science chapter and collaborates with product, design, engineering, and machine learning teams.

Design, develop, scale, and operate centralized authentication and authorization platforms handling millions of daily requests. The role focuses on resilient, low-latency security systems, secure APIs, full software lifecycle ownership, incident response, observability, code quality, architecture, cross-functional collaboration, and mentoring. Candidates need strong IAM expertise, software engineering skills, scalable architecture experience, and fluency in Portuguese with advanced English.

Staff Software Engineer serving as a senior technical anchor for complex, large-scale platforms. Responsibilities include setting architectural strategy, designing distributed systems, driving engineering standards, resolving cross-team technical challenges, mentoring senior engineers, influencing roadmaps, and leading technical hiring assessments. The role requires expertise in high-concurrency systems, data consistency, fault tolerance, system optimization, and technical trade-offs, plus fluency in Portuguese and excellent English.

Designs and maintains scalable, secure data platforms and end-to-end pipelines. Builds data models, transformations, quality controls, self-service datasets, and observability practices. Troubleshoots data issues, optimizes SQL and platform performance, evaluates technologies through proofs of concept, and partners with stakeholders on scalable solutions. The role also contributes to technical strategy, data governance, engineering standards, and data-driven culture while serving as a technical reference for the data engineering team.

Develop and maintain scalable, reliable software across the full lifecycle, from architecture and development through testing, deployment, production support, and maintenance. Collaborate cross-functionally, participate in Agile ceremonies, conduct code and design reviews, troubleshoot incidents, improve observability and delivery quality, and mentor software engineers. The role requires strong engineering fundamentals, API and database expertise, architectural experience, and Portuguese and English fluency.

Lead Level 2 and Level 3 security incident response, coordinating MSSPs, SOC teams, and cross-functional stakeholders. Conduct forensic investigations, root-cause analysis, containment, eradication, and post-incident reviews. Develop and automate incident-response playbooks, improve SIEM and EDR detection rules, manage cyber threat intelligence processes, and support cloud incident response across AWS and GCP. Serve as the technical focal point during high-criticality incidents and communicate findings to technical and executive audiences.

Owns complex People Analytics problems from hypothesis formation through methodological validation and business recommendations. Develops predictive models, experiments, and data-driven explanations for workforce challenges. Translates technical findings for HRBPs, leadership, and C-level stakeholders, ensures data quality, and mentors less experienced analysts while partnering with Data Engineering and the People team.