As a Linux Engineering Team Lead, you will oversee the Linux Engineering team while remaining hands-on. You’ll help set technical direction and operational standards for Linux infrastructure supporting our real-time trading environment, development systems, research compute, and orchestration clusters. This role requires deep technical, operational, and people leadership skills to deliver results across the trading platform.

What You'll Do

• Lead and develop the Linux Engineering team; translate business needs into a clear roadmap and drive accountability across project and operational work

• Own the design, implementation, and operation of a global Linux infrastructure footprint with a focus on reliability, performance, and determinism

• Automate and standardize fleet operations (provisioning, configuration management, patching, upgrades, lifecycle) and improve monitoring/alerting to reduce time-to-detect and time-to-recover

• Establish operational excellence (runbooks, incident response, post-incident learning) and mentor engineers through debugging, performance tuning, and architecture decisions

• Partner across execution, network, and development teams to plan and coordinate changes; guide projects end-to-end and participate in an on-call rotation

What we're looking for

• Experience managing a team of people (e.g., conducting 1:1s, contributing to hiring or performance decisions)

• Extensive experience supporting a large-scale, global Linux server fleet and low-latency Linux systems

• Deep knowledge of Linux internals and systems-level debugging, with a track record of solving performance issues

• Demonstrated success in leadership and stakeholder management

• Strong problem-solving under pressure and a collaborative, customer-service mindset; financial trading industry experience preferred

Salary Range: $200,000 - $250,000, plus a discretionary bonus.

The discretionary bonus will be dependent upon the individuals skills, experience, qualifications, and firm performance. 

Join our team as Sr. Engineer in the systematic vol trading space. Lead the development of a cutting-edge options research and trading platform that directly influences our market position and drives pnl. Bridge the gap between development, research and trading teams to deliver technical solutions that give us a market edge.

What You’ll Do

• Develop, test, and maintain high-performance trading applications, backtesting tools, and libraries using Python, with a focus on volatility products.
• Work closely with traders to translate strategies into technical requirements, and with researchers to optimize the integration of models into live trading systems.
• Create and drive a technical roadmap developing strong, dependable, and easy-to-maintain code in accordance with established guidelines and industry norms.
• Participate in code reviews, provide constructive feedback, and contribute to continuous improvement within the team.
• Keep up-to-date with the latest advancements in trading technology, Python development, and related libraries and frameworks.

What We’re Looking For

• Significant experience in working directly on a systematic trading desk. Options experience strongly preferred.
• Experience in an architect-level role.
• Hands-on experience with Python and proficiency in modern Python concepts such as asyncio.
• Experience designing and implementing systems capable of processing real-time market data at low latencies and integrating seamlessly with research pipelines.
• Experience designing and implementing high-performance and flexible research systems capable of hosting and processing terabytes of data on a computer cluster with GPU and tens of thousands CPU cores.
• Experience using numerical toolkits such as pandas and NumPy is preferred but not required.

We are seeking a Senior AI / ML Engineer to help define and build how CTC leverages AI across the firm. You will work closely with executive stakeholders to identify where AI creates real leverage for our engineers, quants, and traders, and then build it. The AI landscape is moving fast and the strategy needs to evolve with it — this role carries both the technical and strategic responsibility of figuring out what bets to make and executing on them. This role sits within our Developer Experience organization.

WHAT YOU'LL DO

• Partner with leadership to shape CTC's AI strategy as the space evolves.

• Evaluate emerging AI technologies and make informed recommendations on what to adopt, what to watch, and what to skip.

• Build and ship AI capabilities that drive real adoption across engineering, quant, and trading teams.

• Work across the firm to understand workflows, identify high-value use cases, and build tools that fit how people actually work.

• Establish sensible practices for deployment, security, and governance as the function matures.

WHAT WE'RE LOOKING FOR

• 7+ years of engineering experience with a strong track record of building and shipping developer tools, platforms, or internal tooling that achieved broad adoption.

• Demonstrated applied experience with LLMs and generative AI; deep curiosity and strong opinions about where this space is heading.

• Python proficiency required; C++ or low-latency systems experience is a strong plus.

• Background working in demanding technical environments - proprietary trading, hedge funds, or similar settings where reliability and developer productivity directly impact the business.

• Good judgment about where AI adds value and where it doesn't, in a space that moves quickly.

• Comfort with ambiguity and working closely with senior leadership.

• Strong communication skills across technical and non-technical audiences.

• Financial sector experience strongly preferred.

• Advanced degree in Computer Science, Machine Learning, Statistics, Engineering, or related field is a plus.

This high visibility role directly supports senior leadership and is pivotal in scaling and driving operational excellence for CTC’s systematic trading business. You will collaborate closely with quantitative researchers, traders, technologists, and cross functional enterprise teams to accelerate strategic initiatives - expanding product offerings, optimizing execution costs, and strengthening risk management frameworks.  

WHAT YOU'LL DO

• Assist in building roadmaps, reviewing interdependencies, and help with sequencing. 
• Help team members break projects down into smaller, incremental commercial steps. Track progress and drive accountability.  
• Anticipate breaks in project plans, escalate and adjust plans as projects pivot.  
• Improve team communication by getting right stakeholders in the room, re-centering focus by summarizing current state, shepherding projects to sensible next steps and defining what good follow-ups looks like.  
• Develop solid understanding of data processes and infrastructure. Understand current and future downstream data use cases. Drive data requirements as they relate to model research use cases.  
• Help business leads drive high degree of consistency between research and production.  
• Drive cross team collaboration with other businesses and departments.  
• Assist in supporting technical upgrades to management tooling.  
• Optimize workflows: map end-to-end processes, identify bottlenecks, and recommend enhancements or new tools to enable continuous improvement.  
• Foster a high-performance culture: create a collaborative culture committed to problem solving, high quality delivery, and ongoing refinement of processes.  

WHAT WE'RE LOOKING FOR

• Bachelor or Master’s degree in Business, Computer Science, Engineering, or related field (preferred).  
• Experience in systematic trading, quantitative / technical program management, or consulting in options/volatility strategies - or similarly complex environments.  
• Understanding of options risk (Greeks, volatility surfaces), internalization/externalization trade flows, and delta hedging fundamentals.  
• Proven track record in program and process management across engineering and trading, with expertise in OKRs, dependency mapping, and post incident analysis. 
• Exceptional communication skills - capable of producing clear, concise reporting, making decisive recommendations, and driving swift execution.  
• Adaptive problem solver with a growth mindset - able to learn from setbacks, pivot quickly, and champion continuous improvement.  
• Genuine commitment to CTC’s values of diversity, ethical excellence, and equal opportunity - thriving in a fast-moving, collaborative environment. 

We are seeking an Observability Lead to own the strategy, execution, and technical direction of CTC's observability platform. In this role, you will lead a small, high-impact team responsible for the tools and systems that give our engineers, quants, and traders visibility into the health and performance of critical infrastructure and applications. This is an opportunity for a senior technologist who is passionate about building reliable, developer-friendly observability solutions and who thrives in an environment where the work directly impacts business outcomes.

WHAT YOU'LL DO

• Define and drive the observability roadmap, aligning platform capabilities with the needs of engineering teams, quantitative researchers, and trading operations.

• Lead the design, implementation, and continuous improvement of monitoring, alerting, logging, tracing, and metrics infrastructure at scale.

• Own the end-to-end developer experience of observability tooling - reducing friction, improving self-service adoption, and ensuring engineers can quickly diagnose and resolve production issues.

• Manage and grow a small team of engineers, providing technical mentorship, setting clear expectations, and fostering a culture of ownership and accountability.

• Partner with infrastructure, platform, and application teams to ensure observability is deeply integrated into the development lifecycle, CI/CD pipelines, and incident response workflows.

• Establish and enforce best practices for instrumentation, SLOs, alert quality, and operational readiness across the engineering organization.

• Evaluate emerging tools, frameworks, and approaches in the observability space, driving adoption where they deliver measurable value.

WHAT WE'RE LOOKING FOR

• 8+ years of technical engineering experience, with at least 3 years focused on observability, monitoring, or site reliability engineering.

• Demonstrated expertise designing, building, and operating observability platforms at scale - including metrics, logging, tracing, and alerting systems; deep experience with Datadog and OpenTelemetry strongly preferred.

• Proven experience leading or managing a small engineering team, with a track record of developing talent and delivering results through others.

• Strong understanding of distributed systems, micro-services architectures, and the observability challenges inherent in complex, high-throughput environments.

• Hands-on experience with Kubernetes and bare-metal infrastructure; understanding of the unique observability challenges across both containerized and traditional deployment models.

• Advanced programming proficiency in at least one of Python, Go, or Java; familiarity with C++ or low-latency systems is a strong plus.

• A product-oriented mindset — you think about observability as a service to internal customers and obsess over the developer experience of the tools you build.

• Exceptional communication skills with the ability to partner across engineering, operations, and business stakeholders.

• Financial sector experience (trading, prop trading, hedge funds) and familiarity with the demands of low-latency, high-reliability systems are strongly preferred.

• Advanced degree (MS, PhD) in Computer Science, Engineering, or related field is a plus.