Top Tech Jobs & Startup Jobs

Design, build, and maintain large-scale data infrastructure, pipelines, and systems supporting data analysis and electronic trading strategies. Develop storage, compute, and networking resources handling petabytes of data and tens of thousands of requests. Collaborate with data scientists, portfolio managers, traders, and IT teams to deliver reliable, secure, and scalable solutions.

Participate in a rotational engineering program building high-performance, low-latency electronic trading infrastructure. Develop market data, execution, research, simulation, risk management, monitoring, and performance systems using C++. Collaborate with quantitative researchers, traders, and engineers to deploy systematic trading strategies, optimize production systems, and diagnose performance or data issues. Rotate across engineering teams before transitioning to a permanent placement.

Operates and supervises automated trading strategies alongside quantitative traders and developers. Monitors production trading for risk, compliance, and unusual market activity; troubleshoots day-to-day issues; analyzes trades and market data; develops Python scripts and applications to improve trading infrastructure and strategies. Requires early morning coverage aligned with market hours and a strong understanding of futures markets, algorithmic trading systems, and Linux environments.

Manages reception, meeting rooms, facilities maintenance, vendors, pantry services, office events, employee access, seating, travel arrangements, documentation, expenses, and health and safety support. Serves as a liaison with building management and contractors, coordinates repairs and inspections, maintains office supplies and services, and supports a positive employee and visitor experience.

Develop and support security referential data infrastructure for global financial trading operations. Responsibilities include analyzing production issues, implementing corrective measures, automating operational processes, supporting trading users, and owning development, testing, releases, and production support. The role requires expertise in financial trading data across multiple asset classes, Python, SQL databases, Unix environments, and shell scripting.

Develop and improve Tower’s internal agentic harness for autonomous coding, model building, long-horizon tasks, memory management, and multi-agent orchestration. Integrate tools and MCP systems, support current LLMs, identify automation opportunities with quantitative teams, and ensure regulatory compliance and production isolation. The role requires software engineering, data science, or ML engineering experience and strong knowledge of agentic frameworks and distributed systems.

Monitor automated trading systems during Asian market hours across multiple markets and trading teams. Assess live trading for risk, compliance, and unusual market conditions; alert risk managers and traders; coordinate real-time issue resolution with engineering teams, brokers, and exchanges; and document monitoring procedures and production issues.

Develop and maintain automation, web applications, stream-processing systems, microservices, and databases supporting global electronic trading infrastructure. Collaborate on architecture, distributed systems, production reliability, and operational tooling. Participate in developer on-call rotations, document technical solutions, and independently deploy and manage applications in large-scale, 24/7 environments.

Operate and supervise automated trading strategies alongside quantitative traders and developers. Monitor production trading for risk, compliance, unusual behavior, and market conditions; troubleshoot daily trading issues; develop Python scripts and applications to automate trading infrastructure; analyze trades and market data; and support strategy improvements. The role requires an early-morning schedule aligned with market hours.

Supports daily PMO operations by consolidating project updates, maintaining RAID logs, building portfolio metrics and dashboards, and coordinating governance forums. Automates PMO workflows across Jira and Confluence using Python, develops lightweight internal tools, and manages documentation quality. Owns selected small-to-medium projects, coordinating stakeholders across engineering, business, and operations while tracking risks, dependencies, milestones, and delivery progress.