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Full Stack Developer designing and maintaining high-performance applications


Senior Full-Stack Engineer building serverless Node and React systems for mortgage fintech

Consultor SAP ABAP developing and optimizing ABAP objects in SAP S/4HANA environments

About UsChainlink Labs is one of the primary contributing developers of Chainlink, the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance. The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, Decentralized Finance (DeFi), payments, stablecoins, and more. Many of the world’s largest financial services institutions have also adopted Chainlink’s standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, ANZ, Aave, GMX, Lido, and many others.Chainlink Labs is a world-class team of over 600 developers, researchers, and capital markets experts, and has ranked among Fortune's Best Workplaces in Technology, Fortune's Best Medium Workplace, and the Top 100 Global Most Loved Workplaces. Learn more at chain.link or chainlinklabs.com.About The RoleAs a Business Operations Manager, you will tackle a variety of strategic, analytical, and operational projects to drive growth for our business. This role will collaborate closely with the Product Organization to support product strategy, planning and product success. You will also work with executive leadership on critical projects, and require making strategic recommendations cross-functionally.Your Impact * Collaborate directly with leaders across the organization on operations, strategy, product, and expansion efforts * Contribute to high-impact analytical, strategic, and operational initiatives * Structure complex and ambiguous strategic problems * Identify issues, develop hypotheses and execute in-depth analyses to translate data into meaningful insights and make recommendations to the leadership team based on your findings * Develop effective and scalable operational processes and fill operational gaps Qualifications * A Bachelor’s degree and 2-3 years of experience in consulting and/or business operations at high-growth tech company * Additional 1-2 years of in-house experience working within the blockchain industry with a deep understanding of blockchain ecosystem, applications, technologies and value propositions * You are highly analytical and data-driven -- you can execute on complex analyses, define critical metrics, size opportunity areas, and measure and report on performance across the business * You can think across multiple dimensions of a business (sales, product, marketing etc.) and work cross-functionally to deliver results * Excellent written and verbal communication skills * Ability to flex between analytical, strategic and operational aspects of the job * Resourceful and happy to roll up your sleeves to get any job done * You want to work in a fast-paced environment with constant change Preferred Qualifications * Experience having contributed to a blockchain project * Experience working with Go-To-Market orgs * Knowledge of SQL All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST).We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date.Commitment to Equal OpportunityChainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form.Global Data Privacy Notice for Job Candidates and ApplicantsInformation collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit is subject to our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.

Why should you join dLocal?dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.What’s the opportunity?This role calls for a product manager with a strong ability to deliver solutions that align with customer needs, regulatory standards, and strategic business goals.The ideal candidate should have proven experience in financial or payments products and a strong background in product management, specifically in delivering scalable, secure and innovative products for the payments or financial services industry.What will I be doing?You will work closely with a team of skilled engineers and define strategy and roadmap for the platform, evangelizing to the development teams and broader organizationYou will execute that vision, ensuring every item on the roadmap provides the desired outcome to our customers and the businessYou will analyze and use data to make informed decisionsYou will do whatever it takes to make your product and team successful, no matter how big or small the issue may beYou will be working with people from all around the globeYou will lead and inspire other team members of the Product teamWhat skills do I need?Excellent written and oral communication skills in English are a mustSpanish is desirableExperience being a technical PM OR Developer backgroundExperience in payments with Payins or Payouts Working in a payments company is a must What do we offer?Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you: Remote work: work from anywhere or one of our offices around the globe!* Flexibility: we have flexible schedules and we are driven by performance Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded Learning & development: get access to a Premium Coursera subscription Language classes: we provide free English, Spanish, or Portuguese classes Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections! dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is requiredWhat happens after you apply?Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!Also, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!

Program Manager at Austral Group designing and managing educational travel programs

Site Reliability Engineer managing AWS cloud infrastructure

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Analytics Engineer / Data Analyst in Latin America.We are looking for a detail-oriented and self-driven Analytics Engineer / Data Analyst to join a fast-growing international e-commerce and logistics environment. In this role, you will work closely with finance, technology, and operations teams to transform data into actionable insights that drive strategic decisions. You'll design and maintain dashboards, automate reporting processes, and analyze large datasets to uncover trends and opportunities. This role is ideal for someone who thrives in a high-growth, collaborative setting, enjoys working across teams, and is passionate about leveraging data to create measurable business impact.AccountabilitiesDesign, develop, and maintain in-house tools, dashboards, and reports to support finance and operational programsBridge the gap between technical and non-technical teams, creating transparent processes for data usageManipulate and analyze large datasets using various analytical techniques, including descriptive, prescriptive, and exploratory analysesDocument processes, workflows, and maintain knowledge resources in internal documentation systemsCollaborate with multiple stakeholders to deliver insights and solutions that drive high ROI projectsRequirementsMinimum 1 year of experience extracting and processing data using SQLProficiency in Google Sheets and Excel, including advanced functionsExperience with data visualization tools such as Tableau, Power BI, or similar platformsStrong communication skills to effectively convey insights between technical and non-technical teamsProfessional-level English speaking and writing capabilityBonus: experience with data warehouses or large-scale analytics platformsSelf-motivated, eager to learn, and able to thrive in a fast-paced, high-growth environmentBenefitsCompetitive cash and equity packagesFully remote work environmentPaid time off and 8 weeks paid parental leaveMonthly team activities and quarterly virtual gatheringsBiannual team offsites for collaboration and networkingAnnual Work Smart Fund to support professional growth and optimal working environmentsOpportunity to work with a global team spanning 20+ countriesJobgether 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, we automatically shortlist the 3 candidates with the highest match to the role.🧠 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 the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps are then made by their internal hiring team.Thank you for your interest!

DevOps Engineer managing AWS infrastructure for Teravision Technologies' nearshore clients.

Account Manager driving adoption and growth of Chainstack's Web3 infrastructure

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer in the Americas.As a Senior Machine Learning Engineer, you will play a critical role in building scalable and efficient ML solutions that support risk assessment and fraud detection for high-volume financial transactions. You'll collaborate closely with Data Scientists, MLOps, and DataOps teams to implement production-grade models, optimize feature engineering, and monitor system performance. This position offers the opportunity to influence end-to-end machine learning workflows, contribute to real-time and batch processing architectures, and explore innovative approaches to emerging financial risks. You will thrive in a fast-paced, remote-first environment that values technical excellence, continuous learning, and cross-functional collaboration.AccountabilitiesDesign, implement, and optimize machine learning models for production, supporting real-time and batch workflowsEngineer domain-specific features to enhance model robustness and predictive accuracyDevelop scalable pipelines for deploying, monitoring, and retraining ML models in productionBuild architectures optimized for latency, throughput, and resource efficiency, adhering to reliability and security standardsMonitor model endpoints, pipeline performance, and key business metrics; implement recalibration and retraining as neededCollaborate with fraud analysts, risk managers, and product teams to translate business requirements into ML solutionsConduct research and prototypes to explore innovative ML approaches for emerging risk and fraud patternsRequirementsBachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical fieldsStrong experience in ML engineering and data science implementationProficiency in Python, Scala, or JavaHands-on experience with batch and real-time streaming pipelines using SQL and NoSQL databasesFamiliarity with monitoring tools for pipelines, streaming systems, and model performanceExperience with AWS cloud services (Sagemaker, EC2, EMR, ECS/EKS, RDS, etc.)Knowledge of CI/CD pipelines, infrastructure-as-code tools (Terraform, CloudFormation), and MLOps platforms such as MLflowExpertise in machine learning modeling, especially tree-based and boosting algorithms for imbalanced targetsExperience with online inference systems, APIs, and latency-sensitive servicesStrong proficiency in EnglishPreferred/Plus:ML applications in financial decision-making (credit risk, fraud prevention)AWS Sagemaker or similar DS/ML workbench experienceContainerization and orchestration (Docker, Kubernetes)Feature store development and integrationDistributed data systems (Kafka, Spark, Hadoop) and workflow orchestration tools (e.g., Airflow)BenefitsComprehensive health and dental coverage for you and your dependents, no co-paymentLife insurance with extended coverage optionsMeal and supermarket vouchers, home office allowance, and team allowanceAccess to Wellhub for physical and online fitness activitiesTrustly Club discounts at partner institutions and storesEnglish language online program with a private teacherExtended maternity and paternity leave, plus birthday offFlexible hours and fully remote work across BrazilApple equipment (MacBook Pro, iPhone) and welcome kitAnnual performance-based bonusEmployee referral program with rewards(Jobgether 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, we automatically shortlist the 3 candidates with the highest match to the role.🧠 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 the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!

Senior Full-Stack Developer at a tech-savvy startup in Portugal

About TruelogicAt Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.Our ClientOur client is creating a fundamentally better healthcare experience for people with chronic health conditions and those that care for them. We make healthcare more accessible by simplifying complex care plans, connecting care teams and meeting patients where they live. Through our conversational AI, patients use their voice to interact with our digital care companion, who proactively gives medication reminders, symptom checks, behavioral nudges and even engages in friendly conversation to ease loneliness. Our client uses radar to put the patient in context and passively monitors their activities, including: heart rate, breathing rate and sleep stages, all without a wearable. The result is informed and timely intervention that drives improved clinical outcomes, reduced care delivery costs and a more satisfactory healthcare experience for all.Job SummaryWe are looking for an Analytics Engineer to take ownership of our analytics stack and help translate device and user data into actionable insights. You’ll work across teams to build dashboards, define KPIs, and deliver self-serve reporting that informs product and operational decisions.ResponsibilitiesBuild dashboards and reports in Metabase focused on:User behavior and retention (30/60/90-day cohorts)Device performance and reliabilityEngagement metricsWrite and optimize SQL queries against our Postgres databaseCollaborate with product, engineering, and leadership to define KPIs and deliver self-serve insightsPerform light data wrangling in Python for analysis and visualizationApply basic statistics to ensure metrics are valid, interpretable, and actionableQualifications And Job Requirements3+ years of experience in analytics, BI engineering, or a related fieldStrong skills in SQL and relational databases (Postgres preferred)Experience with BI/dashboard tools like Metabase, Looker, or TableauProven ability to communicate data insights to non-technical stakeholdersComfort working in a startup environment and wearing multiple hatsExperience with retention, funnel, or engagement analyticsPython scripting for data manipulationUnderstanding of basic statistics for product analyticsFamiliarity with healthcare or IoT dataWhat we offer100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies. Why You’ll Like Working HereA Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally. Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America. Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field. Apply now!

About The Team/RolePlatform Design & Development: * Collaborate with stakeholders to gather requirements and translate them into a comprehensive software system. This includes designing microservices, persistence layers, and implementing deployment workflows using tools like Terraform, Ansible, Puppet, or Salt. * Design, develop, and implement highly available, scalable, and secure platform services for our data PaaS using programming languages (e.g., Python, Go, Java). * Contribute to the architectural evolution of our data platform, ensuring it meets the growing demands of our users and adheres to best practices. * Develop and maintain APIs, automation tools, and internal services to streamline platform operations and enhance developer experience. * Implement and improve data pipelines, storage solutions, and processing frameworks within the PaaS. Infrastructure Management & Automation * Manage and optimize cloud infrastructure in AWS and Azure cloud services to support our data platform, focusing on cost-efficiency, performance, and reliability. * Implement Infrastructure as Code (IaC) principles using tools like Terraform for provisioning and managing resources. * Develop and maintain CI/CD pipelines to automate deployments, testing, and release processes for platform services. * Monitor platform health, performance, and security, and proactively identify and address potential issues. Data Expertise & Integration * Work closely with data engineers and AI engineering to understand their needs and provide platform capabilities that facilitate efficient data ingestion, processing, storage, and analysis. * Ensure the platform supports various data technologies and paradigms (e.g., streaming, batch processing, data warehousing, data lakes). * Implement and manage data governance, security, and compliance features within the platform. How you’ll make an impact * Bachelor's degree in Computer Science, Software Engineering, or related field OR demonstrable equivalent deep understanding, experience, and capability. * Master or PhD degree in Computer Science (or related field) or good experience in software engineering.


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