• Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity. • Architect Scalable Financial Solutions: Design and maintain robust data models and solution architectures across Oracle FAH, GL, SLA, and BIP to support complex accounting operations and downstream reporting. • Build Intelligent Integrations: Architect, build, and support seamless integrations between accounting systems, data lakes, and internal applications using SQL, PL/SQL and integration technologies (REST, SOAP, JSON). • Operational Excellence: Actively identify system inefficiencies and deploy automation to scale financial workflows, decoupling business growth from manual operational overhead. • Own Technical Execution: Translate complex accounting principles and business requirements into concrete, scalable technical designs and comprehensive documentation.

• Configure and maintain Dynatrace dashboards, reports, and alerts to support Salesforce application monitoring • Develop visibility into user actions and key application performance events to improve operational insight • Set up, configure, and maintain synthetic monitoring for critical Salesforce transactions and business workflows • Partner with application development, infrastructure, and support teams to proactively identify and resolve performance issues • Support end-to-end observability initiatives across the Salesforce environment while enhancing monitoring capabilities • Improve monitoring standards, operational readiness, and issue detection by implementing best practices and optimizing existing monitoring solutions • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project

• Lead the architecture, design, and implementation of scalable notification systems for administrators across email and integration channels. • Partner closely with product, design, and data to refine hypotheses, define measurable outcomes, and interpret results. • Balance rapid iteration with long-term architectural health and security. • Set an example in code reviews by evaluating code quality, architectural alignment, performance, security, and adherence to best practices. • Mentor engineers through code reviews, technical design discussions, and pairing. • See your work directly influence measurable customer and business outcomes.

• Build software for quantitative research, market data, simulation, and trading workflows. • Improve system reliability, performance, testing, and operational visibility. • Partner with researchers and traders to turn ideas into dependable tools. • Develop reliable software used in quantitative research, trading, simulation, and market-data workflows. • Design and maintain high-throughput data pipelines, APIs, and services for time-sensitive financial systems. • Profile latency, memory use, reliability, and performance across critical research and trading applications. • Write tests, participate in code reviews, and improve engineering standards across the codebase. • Troubleshoot production issues and build monitoring that makes failures easier to detect and diagnose. • Collaborate closely with traders and researchers to translate quantitative ideas into dependable tools.