Vagas remotas para brasileiros nos Estados Unidos e Europa

OKTO's continuous growth demands high-caliber candidates, who can demonstrate professionalism, passion, and creativity. For those who come on board, we offer significant career advancement, challenges, and a runway for growth.OKTO powers digital payments for every entertainment, leisure, and gaming environment. Our unified payment platform combines secure, real-world transactions with the most powerful payment technology to create immersive payment experience for both merchants and their users.Since 2019, OKTO has been improving payment interactions for online and retail gaming and introducing frictionless payments with its local knowledge, sector expertise and international capabilities.The expanding business now employs over 200 payment experts, gaming insiders and software engineers, serving some of the most exciting international markets including, Brazil, Romania, Italy, Greece, Germany, the UK and Spain.SummaryThe Cybersecurity Manager will be responsible for planning, implementing, and overseeing the company's information security controls, ensuring regulatory compliance (when applicable), data protection, and operational resilience. This role will serve as the main security point of contact, supporting leadership and technical teams in critical decisions while fostering a strong security culture across the organization.Key ResponsibilitiesGovernance & ComplianceDevelop and maintain security policies, processes, and procedures tailored to the company's size and needsEnsure compliance with relevant regulations and standards (LGPD, basic ISO 27001 controls, PCI DSS when applicable)Provide periodic risk and security status reports to company leadershipInfrastructure & Cloud SecurityImplement and manage security controls in cloud environments (AWS preferred, but Azure or GCP as applicable)Ensure access control, encryption, and secure configurations are consistently appliedCollaborate with IT/DevOps teams to embed security into infrastructure and application lifecyclesOperations & Incident ResponseMonitor security alerts and coordinate response to incidentsMaintain an incident response plan, including escalation proceduresConduct basic business continuity and disaster recovery testingApplication & Development SecuritySupport secure development practices (code reviews, vulnerability scans)Introduce lightweight DevSecOps practices suitable for the company's scaleManage secrets, credentials, and sensitive data securelyRisk, Awareness & CultureAssess vendor and third-party risksCoordinate audits and security assessments when requiredLead employee awareness initiatives, such as phishing simulations and training sessionsIT Assets & Support Management Manage the lifecycle of IT equipment (procurement, inventory, preventive maintenance). Implement patch management practices and security updates on endpoints. Monitor support performance indicators and propose continuous improvements to enhance the internal user experienceRequirementsEducation & CertificationsBachelor's degree in Computer Science, Information Security, Engineering, or related fields (or equivalent practical experience)Certifications such as CISSP, CISM, CISA, CompTIA Security+, ISO 27001 Implementer or Lead Auditor, or AWS Security Specialty are a plusExperience5+ years of experience in cybersecurity or IT security-related rolesHands-on experience with cloud platforms and security toolsFamiliarity with compliance requirements (LGPD, PCI DSS, ISO 27001)Practical knowledge of incident response and vulnerability managementLanguages:Fluent English (mandatory - communication with global stakeholders)Portuguese (mandatory). Spanish (desirable)Important InformationFull-time position under a CLT (Brazilian employment law) contractHybrid work model, based in São Paulo/SP - BrazilBenefits Competitive compensation - aligned with your experience and the market Meal allowance - provided through a prepaid card, with the flexibility to use part of the balance beyond food expenses Health and dental plan - no monthly cost for you and your dependents, with comprehensive coverage to take care of your health and well-being TotalPass - access to gyms and partner studios, encouraging a healthy and balanced lifestyle Long-Term Incentive Plan - an opportunity for growth and participation in results, building the future together with us

Senior Bloomreach Experience Manager (brXM) Consultant delivering brXM solutions at Avantti Tecnologia

Job SummaryAs a Solutions Architect for Mobile Development, you will be responsible to take the business requirements and turn that into a software design that can become a blueprint for the implementation team to follow. You will also be responsible to make sure that the implementation team follows the design and delivers the project as per the agreed designs.Duties And ResponsibilitiesA Mobile Development architect at Creative Chaos will participate in the presales, user experience design, sprint, development, and delivery phases of a project and review the overall proposalDuring user experience design, you will provide valuable input and review the wireframes from a technical standpointBefore the actual development work starts, you will produce necessary artifacts to provide the team with directionNecessary artifacts for the development team will be provided as a Solutions Design DocumentDuring the development phase, you will ensure that the design is followed and any changes in the design are documentedAn architect will also be responsible to review the work the development team producesYou will provide necessary training to developers and should be the sole go-to person for the stakeholders and the team on all technical mattersRequirementsMaster's or Bachelor's degree in Computer Science, from a local of a foreign reputable university10+ years of hands-on experience preferably in Android, iOS, Flutter, and React NativeFamiliarity with native build tools, like XCode, GradleUnderstanding of REST APIs, the document request model, and offline storageMinimum of 4 years of experience making important architecture & design decisions; such as data domain modeling, application of design patterns, & design using third-party componentsAbility to work in a team in diverse/ multiple stakeholder environmentProven experience in engineering and software architecture design. In-depth understanding of coding languages, Sound knowledge of various operating systems and databases. Strong organizational and leadership skillsBeing able to communicate effectively with stakeholders, project managers, developers, and software vendors involved in the development process is essential for a solutions architectA Mobile Architect must be capable of analyzing and identifying potential short and long-term risks that may cause technical issues and impede business operations in the futureSolid at working with third-party dependencies and debugging dependency conflictsBenefitsPaid Time OffRemote JobHealth InsuranceOPDTraining and DevelopmentLife Insurance

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in Latin America.As a Senior Data Scientist, you will play a pivotal role in designing and implementing advanced machine learning and AI models that directly influence business strategies and risk management. You will work closely with cross-functional teams to analyze large, complex datasets, develop predictive models, and ensure the robustness of decision-making frameworks. The role involves feature engineering, model validation, deployment in production environments, and continuous optimization to support scalable and data-driven solutions. This is a remote-first position that offers the opportunity to work in a dynamic, high-growth environment while contributing to cutting-edge AI initiatives in the financial technology space.Accountabilities:Develop state-of-the-art machine learning and AI models to support risk strategies and operational decisionsConduct model performance analysis, compare different modeling approaches, and recommend strategies based on data-driven insightsCollaborate with ML Engineers and ML Ops to deploy models into production and ensure ongoing reliability and scalabilityExplore, preprocess, and engineer features from raw data to support decision-making capabilitiesDesign and maintain infrastructure for risk modeling and data pipelinesMonitor risk trends and model performance, implementing optimizations and preventive measures as neededRequirementsUniversity degree in Mathematics, Statistics, Data Science, or a related fieldProven experience in Data Science, Machine Learning, or AI model developmentExperience developing statistical and machine learning models and conducting experimentsStrong risk knowledge, ideally within financial services, fintech, or related industriesAdvanced programming skills in Python and SQL; experience with Spark and JavaScript is a plusSolid understanding of feature engineering, model lifecycle, and performance evaluationStrong English communication skills to collaborate with international stakeholdersBenefitsHealth and dental coverage for you and dependents with no co-paymentLife insurance with extended coverageMeal and supermarket vouchersHome office allowance and flexible remote work optionsAccess to wellness platforms, online classes, and physical activity spacesEducational discounts and English learning programsExtended parental leave and birthday offApple equipment for remote work and welcome kitAnnual performance-based bonus and referral rewardsJobgether AI Matching ProcessJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, the 3 candidates with the highest match are automatically shortlisted.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once shortlisted, your profile is shared directly with the hiring company, which manages interviews or further assessments.Thank you for your interest!

Virtual Executive Assistant to CEO supporting multi-company operations in property management

Java Developer delivering robust software solutions at Qintess

Scrum Master supporting international teams for Ben Fatto's global-market software

Forecasting Analyst building MMM forecasts and scenario planning for growth marketing firm

Who we are:CloudWalk is a fintech company reimagining the future of financial services. We are building intelligent infrastructure powered by AI, blockchain, and thoughtful design. Our products serve millions of entrepreneurs across Brazil and the US every day, helping them grow with tools that are fast, fair, and built for how business actually works. Learn more at cloudwalk.io .Who We’re Looking For:We're looking for an MLOps Engineer to help us build ML infrastructure that scales dynamically from dozens to thousands of GPUs, reliably and efficiently.You’ll be part of the AI R&D team, working closely with researchers and engineers to design systems for training, evaluating, and monitoring machine learning models at scale. This isn’t a research position, but your work will directly support researchers running large-scale experiments. You’ll help build fault-tolerant pipelines that preserve progress even when things break (like OOMs), and ensure model development flows can iterate with confidence.Our current focus is on large-scale, non-interactive workloads: batch training, dataset-wide model evaluation, and metric-driven improvement loops. That said, the infrastructure you build may later support interactive tools and APIs.You'll be contributing to system design under the guidance of senior ML researchers and infra engineers. Your role is to bring modern tooling and practical engineering to a demanding, GPU-heavy environment.Responsibilities: * Build and maintain ML pipelines for data processing, training, evaluation, and model deployment. * Orchestrate batch and training jobs in Kubernetes, handling retries, failures, and resource constraints. * Design systems that scale dynamically from small GPU jobs to thousands of GPUs on-demand. * Collaborate with researchers to productionize their experiments into reproducible, robust workflows. * Implement model serving endpoints (REST/gRPC) and integrate with internal tooling. * Set up monitoring, logging, and KPI tracking for ML pipelines and compute jobs. * Automate CI/CD and infra provisioning for ML workloads. * Manage experiment tracking, model versioning, and metadata with tools like MLflow or W&B. * Support model serving infrastructure that may be used by internal UIs or tools in the future. Required Skills: * Kubernetes: Strong experience orchestrating jobs, not just deploying services. You should be confident in managing training workloads, GPU scheduling, job retries, and Helm-based deployments. * Python: Comfortable writing scripts and services that glue systems together. You don’t need to be a full-stack dev, but notebooks won’t cut it. Automation is the word here. * ML Workflows: Familiarity with data preprocessing, training, evaluation, and deployment pipelines. * Model Serving: Ability to expose models via FastAPI, TorchServe, or equivalent serving stacks. * Linux: Strong CLI skills, you should know your way around debugging compute-heavy jobs. * Experience with ML metadata systems (MLflow, W&B, Neptune). * Know how to work side by side with AI assistants and agents. * Ability to communicate and debate in English and Portuguese. Nice-to-have skills: * Experience with orchestration tools (Airflow, Argo Workflows, Prefect). * Fluency in cloud environments (GCP, AWS, Azure). * Ability to write lean and customized Dockerfiles and Helm charts that run smoothly. * Exposure to distributed training frameworks (Ray, Horovod, Dask). * Deep understanding of GPU scheduling and tuning in Kubernetes environments. * Experience supporting LLM workloads or inference systems powering internal tools. What You’ll Need to Succeed: * Curiosity about how things fail and how to make them not. * Strong debugging chops, especially in distributed, resource-constrained environments. * A practical mindset, you know when to patch and when to fix. * Ability to collaborate across ML, research, and backend teams. * Ownership: you care about keeping systems reliable, scalable, and clean. Diversity and inclusion:We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.

About us: Outliant is a fully-remote, US-based, digital product development and startup consulting company, with a team of culturally diverse creators whose exceptional skills and talents help conceive seamless digital products. Our teams exhibit work-play energy that supports individual growth, as well as encourages the freedom of creativity and “thinking outside the box.”Our Core Values:Pursuit of Excellence: We are extremely competitive, ambitious, and driven to be exceptional – as individuals, teams, and as an organization. There is no standard high enough and we will never settle. We aspire to attract, retain, and empower the very best people.Startup Mentality: Outliant began with 5 startup founders, and startup culture is deep in our DNA. It’s a critical advantage that allows us to move faster, be more resourceful, and empower our team at all levels. We are in the early chapters of our journey.World-Class Remote Collaboration: Outliant is (and always has been) a 100% remote company – we have no offices and our teams are distributed around the world. Given the freedom and autonomy this provides, we require that our people excel in this remote structure.About This RoleWe’re looking for a Technical Product Manager with a strong analytical mindset and a proven ability to lead platform-focused initiatives. You’ll join one of our most strategic accounts: a fast-scaling wellness company with a national footprint in the US.This is not a feature factory role. You’ll be driving cross-functional outcomes, owning platform reliability and scalability, and partnering closely with engineering, SEO, and CRO teams to deliver meaningful impact.You’ll operate within a newly structured product org where “stability & enablement” is a core business unit — and platform work is treated as first-class priority. This role reports directly to internal product leadership and collaborates with senior stakeholders across engineering, data, SEO, and design.What You’ll Do:Own the platform roadmap: manage initiatives related to site architecture, CMS performance, scalability, QA and SEO foundations — ensuring readiness for 5x growth in clinics and locations. Be technical and decisive: work closely with engineers to debug, unblock, and scope technical solutions. You’ll often be the bridge between messy reality and scalable execution. Drive clarity and impact: translate business outcomes into clear product specs, track results, and relentlessly prioritize high-leverage opportunities. Lead discovery & validation: partner with PMs and stakeholders to validate and prioritize internal and client-facing requests using a structured intake and scoring system. Support SEO enablement: while you won’t own SEO strategy, you’ll ensure the technical platform supports the SEO team’s roadmap — including performance, schema, and scalable content rollout. Own documentation & communication: write clear PRDs, surface tradeoffs, and ensure shared understanding across engineering, QA, and stakeholders. Manage cross-team dependencies: coordinate work between engineering, QA, data, and operations — ensuring blockers are addressed and initiatives stay aligned to roadmap outcomes. Requirements:Minimum 3+ years as a Product Manager, ideally with a technical or platform focus. Background in engineering or strong technical fluency (e.g., able to discuss code, debug issues, or evaluate feasibility). Experience managing CMS-based systems (e.g., Webflow or headless CMS) at scale. Demonstrated ability to work across disciplines — engineering, SEO, design — and drive cross-functional alignment. Highly analytical — able to define success metrics, pull data, and present insights to drive prioritization and decision-making. Hands-on experience with modern product development practices: agile, Kanban, discovery frameworks, backlog grooming, etc. Strong written communication skills. Clear PRDs and structured documentation are table stakes. What’s in it for you?As a full-time member of our team, you’ll enjoy:Unlimited PTONon-working holidays per country of residenceReferral bonusesMonthly internet stipendFun and casual work environmentEmployee engagement activities and virtual gatheringsWe are a diverse, global team! 🌍Important NoticeTo ensure the legitimacy of job opportunities, we strongly recommend that you solely rely on positions posted here on our official website: outliant.com/careers.All our current job openings require video interviews conducted in either or both synchronous (via Google Meet) and asynchronous (via Willo) formats. Kindly refrain from accepting offers that appear suspicious. For any inquiries or concerns, feel free to reach out to us via email at recruitment@outliant.com.Please be assured that we are fully committed to maintaining integrity in our hiring process.