This is a working manager role: you are expected to stay close to the code — reviewing designs, code and stepping in on the hardest problems — while primarily driving delivery for the POD. The POD's core surface is Order Routing and the Market Data ecosystem, with regular contributions into Risk, FIX services, trading UI enhancements and other backend systems as customer commitments require.
Key Responsibilities
- Delivery & stakeholder ownership — Own end-to-end delivery of customer-funded projects across multiple concurrent engagements. Run the daily cadence (standups, sprint reviews, hand-offs) and act as the primary engineering point of contact for Product and Project Management on requirements, estimation, capacity planning, project tracking, CR workflows, and risk. Surface schedule and scope of risk early with credible mitigations, and provide honest, timely status to Client Services, Sales, Platform, Release Engineering, and senior leadership.
- Hands-on technical leadership & design — Stay close to one or more components across the TT platform (Order Routing, Market Data, Risk, FIX services, trading UI). Author tech design documents for non-trivial customer-funded features and review designs produced by the team — ensuring correctness, performance, blast radius on shared components, rollout / rollback, observability, and long-term supportability. Set the quality bar through architecture, design, and code reviews in modern C++, and be the escalation-of-last-resort on hard issues.
- Cross-component versatility & engineering excellence — Deliver across a broad surface — Order Routing, Market Data, Risk, FIX services, and trading UI enhancements — as customer commitments evolve. Drive engineering best practices across the POD: modern C++ standards, multithreading and concurrency correctness, performance tuning, automated testing, and CI hygiene. Treat customer-funded work as first-class product code, not throwaway one-offs, and build a POD that can flex across components without becoming shallow on any of them.
- AI-assisted engineering — Champion the adoption of AI coding assistants and agentic tooling (e.g., Claude Code, Copilot, and internal AI tooling) across the POD to accelerate delivery, code review, test authoring, design exploration, and production diagnostics. Set the bar for responsible use — quality, security, IP protection, and human accountability for shipped code — and share patterns that work back into the wider engineering org.
- SE + SQE leadership — Lead a cross-functional POD of Software Engineers and Software Quality Engineers. Foster a shared ownership model where quality is designed in, not bolted on, and where SQEs are equal partners in scoping, automation, and release readiness.
- People management & culture — Line-manage the POD: 1:1s, feedback, growth plans, hiring, and calibration. Build a fair, sustainable delivery culture that can absorb context switching and shifting priorities without burning people out or letting quality slip.
Skills, Knowledge and Expertise
- Bachelor's degree in computer science, Software Engineering, or a related field (or equivalent professional experience), with 10 to 12 years of software engineering experience and 2+ years managing a mid-sized engineering team, including line management of engineers.
- Expert-level hands-on proficiency in modern C++ (C++11 through C++20) — able to review and write production-grade code, and to lead deep technical discussions on architecture, multithreading, concurrency, and performance.
- Deep experience delivering software for electronic trading, capital markets, or other high-performance, mission-critical, low-latency systems, with strong working knowledge of trading-system fundamentals: order lifecycle, exchange gateways, FIX / exchange protocols, market data, price generation, and risk checks.
- Proven track record delivering complex, customer-committed software projects in an Agile environment — working closely with Product and Project Management on estimation, planning, and CR workflows — and managing multiple concurrent engagements with changing priorities, aggressive timelines, and frequent context switching, while still meeting commitments.
- Hands-on experience using AI coding assistants and/or agentic developer tooling (e.g., Claude Code, Copilot, Cursor, or equivalents) in real delivery — with a clear point of view on where they add leverage, where they don't, and how to keep quality, security, and IP under control.
- Proficient with Linux, production diagnostics, and debugging / profiling tools (GDB, Address Sanitizer, perf, and similar).
- Demonstrated success as a people manager — growing engineers and SQEs, hiring, calibrating, and handling difficult conversations — with excellent communication and stakeholder-management skills across engineering, Product, Project Management, Client Services, and customers.
- Prior experience leading customer-funded, professional services, or bespoke-delivery engineering teams in a financial-technology context, ideally on a major OMS/EMS/trading platform with exposure to Order Routing, Market Data, Risk, FIX services, or trading UI.
- Familiarity with major exchange connectivity stacks (CME, ICE, Eurex, LSE, NSE, etc.) and with vendor certification / conformance testing, plus experience with formal CR / change-management workflows in a regulated financial environment (Jira / Confluence for delivery tracking and design documentation).
- Working knowledge of Python for tooling, automation, and test scaffolding; familiarity with CI/CD, DevOps practices, containerisation, and cloud technologies as applied to trading-system delivery; background in kernel-bypass / low-latency networking (Solarflare, Onload) or lock-free data structures.
- Track record of driving measurable productivity gains through AI adoption in an engineering team — e.g., accelerating design, code generation, code review, test coverage, or production triage — including establishing guardrails, prompts/skills libraries, and adoption metrics.
Benefits
- Health & Financial Security:
- Medical, Dental, and Vision coverage
- Time Off & Flexibility:
- Enjoy the best of both worlds: the energy and collaboration of in-person work, combined with the convenience and focus of remote days. This is a hybrid position requiring three days of in-office collaboration per week, with the flexibility to work remotely for the remaining two days. Our hybrid model is designed to balance individual flexibility with the benefits of in-person collaboration, enhanced team cohesion, spontaneous innovation, hands-on mentorship opportunities and strengthens our company culture.
- 21 days of Paid Time Off (PTO) per year, with the option to roll over unused days.
- One dedicated day per year for volunteering.
- Two professional development days per year to allow uninterrupted professional development.
- An additional PTO day is added during milestone anniversary years.
- Robust paid holiday schedule with early dismissal.
- Generous parental leave for all parents (including adoptive parents).
- Work-Life Support & Resources:
- Budget for tech accessories, including monitors, headphones, keyboards, and other office equipment.
- Milestone anniversary bonuses.
- Wellness & Lifestyle Perks:
- Subsidy contributions toward gym memberships and health/wellness initiatives.
- Our Culture:
- Forward-thinking, culture-based organization with collaborative teams that promote diversity and inclusion.
- Forward-thinking, culture-based organization with collaborative teams that promote diversity and inclusion.
Trading Technologies (TT) is an equal-opportunity employer. Equal employment has been, and continues to be, a required practice at the Company. Trading Technologies’ practice of equal employment opportunity is to recruit, hire, train, promote, and base all employment decisions on ability rather than race, color, religion, national origin, sex/gender orientation, age, disability, sexual orientation, genetic information, parental status, veteran, or any other protected status. Additionally, TT participates in the E-Verify Program for US offices.
About
Trading Technologies is a Software-as-a-Service (SaaS) technology platform provider to the global capital markets industry. The company’s award-winning TT® platform connects to the world’s major international exchanges and liquidity venues in listed derivatives alongside a growing number of asset classes, including fixed income and cryptocurrencies. The TT platform delivers advanced tools for trade execution and order management, market data solutions, analytics, trade surveillance, risk management, and infrastructure services to the world’s leading sell-side institutions, buy-side firms, and exchanges. The company’s blue-chip client base includes Tier 1 banks as well as brokers, money managers, hedge funds, proprietary traders, Commodity Trading Advisors (CTAs), commercial hedgers, and risk managers. These firms rely on the TT ecosystem to manage their end-to-end trading operations. In addition, exchanges utilize TT’s technology to deliver innovative solutions to their market participants. TT also strategically partners with technology companies to make their complementary offerings available to Trading Technologies’ global client base through the TT ecosystem.
Skills Required
- Bachelor's degree in computer science, software engineering, or a related field, or equivalent professional experience
- 10 to 12 years of software engineering experience
- 2 or more years managing a mid-sized engineering team, including line management of engineers
- Expert hands-on proficiency in modern C++ from C++11 through C++20
- Experience with architecture, multithreading, concurrency, and performance
- Experience delivering software for electronic trading, capital markets, or high-performance mission-critical systems
- Knowledge of order lifecycle, exchange gateways, FIX or exchange protocols, market data, price generation, and risk checks
- Experience delivering complex customer-committed software projects in an Agile environment
- Experience managing multiple concurrent engagements, changing priorities, and aggressive timelines
- Hands-on experience with AI coding assistants or agentic developer tooling
- Proficiency with Linux, production diagnostics, GDB, AddressSanitizer, perf, and similar debugging or profiling tools
- Demonstrated people-management success, including developing engineers and SQEs, hiring, calibration, and difficult conversations
- Excellent communication and stakeholder-management skills
- Experience leading customer-funded, professional services, or bespoke-delivery engineering teams in financial technology
- Experience with OMS, EMS, or trading platforms involving order routing, market data, risk, FIX services, or trading UI
- Familiarity with CME, ICE, Eurex, LSE, NSE, or other exchange connectivity stacks
- Experience with vendor certification, conformance testing, and formal change-management workflows
- Experience with Jira and Confluence for delivery tracking and design documentation
- Working knowledge of Python for tooling, automation, and test scaffolding
- Familiarity with CI/CD, DevOps, containerization, and cloud technologies
- Background in kernel-bypass or low-latency networking, including Solarflare or Onload, or lock-free data structures
- Track record of measurable productivity gains through AI adoption in an engineering team
Trading Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Trading Technologies and has not been reviewed or approved by Trading Technologies.
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Healthcare Strength — Health coverage is described as competitive, with multiple plan options, discounted premiums, and wellness initiatives such as gym subsidies and healthy meal programs.
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Leave & Time Off Breadth — Paid time off is portrayed as generous, combining substantial PTO, paid holidays, flexible schedules, and added allowances like training days and volunteer time.
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Parental & Family Support — Family supports include generous parental leave for primary caregivers, backup care for children, adults, and pets, adoption assistance, and dedicated spaces for new mothers.
Trading Technologies Insights
What We Do
Trading Technologies creates professional trading software, infrastructure and data solutions for a wide variety of users. Be aware of fraudulent job postings: It has come to our attention that individuals pretending to represent Trading Technologies are posting fake job ads on LinkedIn and possibly other job boards. These individuals conduct candidate interviews via Skype and extend offers, likely with the intent to collect personal information such as banking information, social security number or date of birth. They use a Gmail email address that is not affiliated with Trading Technologies. Only emails using a tradingtechnologies.com or trade.tt email address are authentic. Although we use third party recruiting agencies on a case-by-case basis, all candidates speak with a staff member who has a valid company email address before any offers are extended or personal information collected. Our open positions are posted on BuiltIn and on the Careers page of our website.
Why Work With Us
Cited by Crain's and Built In Chicago as one of Chicago’s best places to work, Trading Technologies is a pioneering financial technology firm that constantly pushes boundaries in the trading industry. TT is a highly collaborative and culture-first organization that fosters an environment of creativity and camaraderie to achieve results.
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