• Develop and customize responsive websites, templates, and landing pages using HubSpot CMS. • Collaborate with UX/UI designers to translate mockups and wireframes into functional, accessible web interfaces. • Build reusable components and front-end modules using HTML5, CSS3 (SASS/LESS), and JavaScript (ES6+), with experience in frameworks like React, Vue.js, or Angular. • Work with HubSpot CRM to build workflows, automate marketing tasks, and integrate forms or data-driven components. • Extend backend functionality using Node.js and build/consume RESTful APIs. • Manage code versioning and collaboration using Git. • Ensure all deliverables meet Web Accessibility Standards (WCAG) by testing with tools like Lighthouse, WAVE, and screen readers. • Troubleshoot and optimize performance across all devices and platforms. • Collaborate with marketing and tech teams to support ongoing digital campaigns and initiatives.

• Design and ship vault strategies: take a strategy from thesis and design doc through implementation, simulation, deployment, and live operation — RWAs, leveraged lending, yield aggregation, cross-protocol allocation, perpetuals, prediction markets, and new product types we haven't built yet. • Optimize strategies: signals research, execution optimization, gas-aware rebalancing across tokens and chains, liquidity and duration management. • Run protocol and asset due diligence: evaluate new protocols, collateral assets, and chains for inclusion in strategies — solvency mechanics, oracle design, redemption paths, liquidity depth, and more. • Own risk parameters: supply caps, LLTV settings, concentration limits, VaR-based exposure models, and automated de-risking logic that pulls positions when conditions deteriorate. • Integrate new protocols and chains: build and validate adapters for lending markets, DEX aggregators, and bridges; verify strategy behavior against forked-chain simulation before capital touches it. • Monitor what you build: extend our risk-monitoring and alerting systems, define the conditions that page someone, and participate in the on-call rotation for the strategies you own. • Support launches and clients: partner with growth, capital markets, and client teams on new vault and strategy launches.

• Understanding the business requirements • Writing code and implementing the proposed solutions • Debugging, root cause analysis… • Creating data pipelines, versioning and change management • Manage the complexity inherent in versioned data pipelines • Develop ETL/ELT processes to help extract and manipulate data from multiple sources. • Design, build and maintain batch or real-time data pipelines in production. • Automate data workflows such as data ingestion, aggregation, and ETL processing. • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. • Train and mentor junior engineers.

• Design, develop, and optimize complex Calculation Views using SAP HANA 2.0 (HDI Containers, Web IDE, or Business Application Studio) • Create advanced Table Functions and Stored Procedures using SQLScript to support analytical and transactional workloads • Implement and maintain HDI Containers, Synonyms, and .hdbgrants configurations to ensure proper data access governance • Build, maintain, and troubleshoot robust data pipelines using SAP Data Services (BODS) to move data from S/4HANA to Google BigQuery • Design and implement delta-load frameworks that minimize data extraction overhead while ensuring data freshness • Manage BODS job servers and configure complex transformations to meet business and technical requirements • Leverage S/4HANA standard CDS Views and ODP (Operational Data Provisioning) frameworks for efficient, scalable data extraction • Navigate the S/4HANA data dictionary (e.g., ACDOCA, MATDOC) to identify optimal data sources and extraction patterns • Ensure extraction logic aligns with business processes (e.g., Sales Orders, Material Documents, Financial Postings) • Configure and optimize connectivity between SAP and Google Cloud Platform, utilizing Google Cloud Storage (GCS) for staging and the BigQuery Adapter for bulk loading • Design and implement file-based integration patterns using Parquet and CSV formats to maximize load performance • Optimize BigQuery table partitioning, clustering, and schema design to support high-performance analytics at scale • Continuously analyze and optimize data pipeline performance to achieve real-time or near-real-time data availability • Troubleshoot integration issues across SAP HANA, BODS, GCS, and BigQuery, ensuring minimal disruption to downstream consumers • Recommend architectural improvements that balance data freshness, system performance, and cost efficiency