• Desarrollo de evolutivos sobre la arquitectura Liferay existente, asegurando el cumplimiento de estándares técnicos y de calidad. • Análisis, triaje y resolución de incidencias, contribuyendo a la estabilidad y mejora continua del servicio. • Colaborarás en entornos de trabajo multidisciplinares

• Evolve our mature non-custodial crypto wallet by adding new capabilities. • Own the core of the app — send/receive, balances, transaction history, swap/bridge, on-ramp — and lead its product extensions, including the crypto card and IBAN experience: payments, subscriptions, physical card integration, and onboarding additional card providers across new geographies. • Own features end-to-end — from planning and architectural design to implementation, testing, production monitoring, and iterative improvement based on real user feedback. • Collaborate closely with Product and Design teams to deeply understand user needs, shape product direction, and co-create solutions that deliver tangible value. • Partner with QA and backend engineers to ensure strong quality control through clear documentation, reproducible testing flows, and knowledge sharing. • Take part in a shared on-call rotation — roughly one week a month. • Communicate clearly and proactively by producing technical documentation and guides for internal teams, and occasionally showcase product demos for support and operations.

Role Description We are looking for a technical power user and Zoho expert to revolutionize how we manage and nurture our warm lead pipeline. The ideal candidate isn’t just familiar with CRM software; they are a specialist who understands the deep intricacies of the Zoho ecosystem. Your mission will be to transform raw lead data into a seamless, automated conversion engine, ensuring that no opportunity falls through the cracks. If you enjoy building sophisticated workflows and maximizing the potential of technical tools, this role is for you. Key Responsibilities - Architect, implement, and maintain complex Zoho CRM configurations tailored to the sales lifecycle. - Develop and deploy advanced automations, blueprints, and workflows to streamline warm lead management. - Audit and optimize existing CRM structures to ensure data integrity and peak performance. - Integrate Zoho CRM with third-party tools and internal systems to create a unified data environment. - Act as the internal subject matter expert for all things Zoho, troubleshooting technical issues and identifying new features to leverage. Qualifications - Proven experience as a Zoho CRM Specialist or Administrator with deep technical knowledge of the platform. - Demonstrated ability to build custom automations, Deluge scripts, and sophisticated sales funnels. - Expert-level understanding of Zoho’s nuances, including modules, layouts, and advanced reporting. - Strong analytical mindset with a focus on improving lead conversion through technology. - Excellent communication skills and the ability to translate business needs into technical solutions. Nice-to-Haves - Zoho Certified Professional status. - Experience with the broader Zoho One suite (e.g., Zoho Campaigns, Zoho Analytics). - Background in sales operations or lead generation strategy. Benefits - 💻 Fully Remote: Work from anywhere with international teams. - 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services. - 🤝 Peer Community: Connect with high-performing sales professionals in our network. - 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement. - 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals.

Role Description We are seeking an experienced Quant Developer (FinTech) to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. In this role you will partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements. The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets, instruments, and risk management practices. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative discipline. - Six or more years of software engineering experience, with significant time in fintech. - Strong programming skills in C++, Java, or Python (preferably more than one). - Solid grounding in financial markets, instruments, and basic quantitative methods. - Hands-on experience building low-latency, high-throughput systems. - Experience with market data systems and FIX protocol implementations. - Strong understanding of risk and P&L attribution. - Experience with high-performance computing patterns and concurrency. - Excellent debugging, profiling, and performance-tuning skills. - Strong communication and documentation skills. Requirements - Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python. - Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations. - Build robust market data ingestion and normalization pipelines for high-volume tick data. - Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks. - Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants to make informed decisions under uncertain market conditions. - Profile and optimize critical-path code for latency and throughput, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Build comprehensive backtesting and simulation infrastructure that lets researchers evaluate strategies against historical data and synthetic scenarios with reproducible, audit-friendly results. - Collaborate closely with quants, traders, and risk officers to refine models and tooling. - Implement regulatory and compliance reporting workflows where applicable, ensuring outputs meet jurisdictional requirements, are auditable end-to-end, and can be reproduced reliably for retrospective analysis. - Ensure full observability of trading systems with appropriate logging, metrics, and audit trails. - Lead incident response for trading-critical issues with calm and rigor. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Mentor junior engineers and contribute to engineering culture in the team. Benefits - Competitive base salary commensurate with experience, plus benefits.