DevOps Engineer for High-Performance Trading Systems

At Jump Trading Group, we are dedicated to pioneering world-class research in the fields of Mathematics, Physics, and Computer Science. We empower extraordinary talents to explore scientific frontiers and apply avant-garde research to global financial markets. Our distinct culture fosters constant innovation, demanding creativity, intellectual honesty, and a fiercely competitive spirit. We believe in collective success and aim to unlock unique individual talents through collaboration and mutual respect. Research outcomes at Jump go beyond delivering superior risk-adjusted returns; we develop and deploy transformative technologies, support start-ups across diverse industries, and collaborate with leading global research organizations and academies to tackle pressing challenges. We are seeking a motivated Software Engineer to join one of our expanding quantitative trading teams. In this role, you will collaborate closely with traders and technologists to manage trading and operational challenges, ensuring the deployment process for the team’s production trading systems is scalable and fault-tolerant. Your responsibilities will include crafting and maintaining a sophisticated Python infrastructure, configuring production servers, and keeping all information sources for production processes current. The ideal candidate will possess a passion for development, a desire to learn about automated electronic trading, and the ability to tackle complex technical problems in a fast-paced and dynamic setting. This position promises exposure to a wide array of intriguing and challenging issues. The trading team views technology as an essential element of their ongoing success, and candidates will have the opportunity to work with cutting-edge technologies.

C++ Developer – High Frequency Trading SystemsJoin MARGO in London – Exceptional Trading EnvironmentsAt MARGO, we are a technology-driven consultancy that provides premier software engineering services to the world's most demanding financial market environments.We specialize in latency-critical trading scenarios where performance, determinism, and predictability are paramount. Our consultants work in highly specialized trading environments, creating systems that communicate directly with exchanges and market venues under intense time constraints.Business ContextYou will be part of a High Frequency Trading / Low Latency Trading environment collaborating with one of our partners, which may include investment banks, proprietary trading firms, or market makers.Our teams design, build, and operate latency-sensitive trading systems that are directly connected to exchanges, typically deployed in colocated environments.These systems are known for:·Microsecond to sub-microsecond latency constraints·Deterministic and predictable execution paths·Minimal software and network overhead·Direct interaction with market data feeds and order gatewaysRole OverviewWe are seeking a C++ Software Engineer focused on developing latency-critical trading infrastructure.This position is primarily engineering-driven, emphasizing speed, predictability, and control of execution rather than just functional feature delivery.Depending on the environment, you may also interact with C# components utilized outside of the ultra-latency-critical execution path.Key ResponsibilitiesCore HFT EngineeringEngage in the design and enhancement of high-performance trading systems to meet stringent latency requirements.

Join Teza Technologies as a High-Frequency Trading (HFT) Engineering Lead where you will spearhead the development of innovative HFT algorithms for a diverse range of exchange-traded financial products. Your contributions will directly influence the profitability of our trading strategies in both futures and equities, establishing our competitive advantage in the financial markets.Location: Chicago, IL or London, UK (Hybrid, requiring 3 days in-office)Key ResponsibilitiesDrive the creation of an advanced C++ trading platform, presenting a unique chance to redefine our high-frequency trading infrastructure.Manage and enhance our legacy HFT Java trading platform to ensure high performance, low latency, and reliability across various asset classes.Establish robust protocols and monitoring tools for platform stability and swift issue resolution.Continuously optimize the trading platform for performance and scalability to meet the evolving demands of trading strategies and market opportunities.Oversee system architecture and hardware-software integration, focusing on minimizing latency and maximizing throughput.Lead quantitative analyses on trading infrastructure performance, latency reduction, and system benchmarking.Collaborate with research, trading, and operations teams to ensure seamless integration of trading algorithms and market data feeds within the trading platform.Manage the collection and analysis of trading and infrastructure data to facilitate ongoing improvements and troubleshooting.

Hudson River Trading seeks a Trading Systems Engineer to join the Trading Systems Infrastructure team. This group builds and maintains the technology behind global trading operations. Their work supports high performance and reliability for the ultra-low latency operating systems, automation tools, and development platforms that keep trading strategies running worldwide, around the clock. Role overview The Trading Systems Engineer will help support and improve real-time production trading environments. The work centers on solving challenges that require high availability, high throughput, and ultra-low latency. This role contributes to the development and automation of essential infrastructure components, working alongside a team committed to keeping trading systems operating smoothly at all times. What you will do Support and improve real-time production trading environments Address challenges involving high availability, high throughput, and ultra-low latency Contribute to developing and automating critical infrastructure Collaborate with a team focused on system reliability and uptime Requirements Experience with coding and automation Strong interest in enhancing technology stacks Ability to solve complex technical problems in demanding environments Comfort working where uptime and performance are essential Locations Austin, TX, United States Boulder, Colorado, United States Chicago, Illinois, United States London, United Kingdom New York, NY, United States Seattle, Washington, United States

About WintermuteWintermute is a pioneering technology company and a leading player in the algorithmic trading sector, focusing on digital assets. We are dedicated to providing liquidity across a vast array of cryptocurrency exchanges and trading platforms. Additionally, we offer comprehensive OTC trading solutions, supporting both high-profile blockchain initiatives and traditional financial institutions transitioning into the crypto space. Our Wintermute Ventures division also invests in promising early-stage DeFi projects.Founded in 2017, Wintermute has adeptly navigated the complexities of industry cycles. Our culture merges the high-frequency trading standards of traditional markets with the innovative and entrepreneurial spirit typical of technology startups. We are firm believers in the transformative potential of blockchain, and we take a long-term approach to the digital asset market, positioning ourselves as leaders in fostering a compliant and innovative trading environment. For more details, you can read more here.Why Join Wintermute?We are on the lookout for an Algorithmic Trader with robust coding abilities (Python) and a keen interest in high-frequency trading, liquidity provision, and cryptocurrency markets. From day one, you will manage your own “desk” and have the chance to create and refine your own trading algorithms and strategies. You will receive invaluable mentorship from seasoned traders and developers, including our founders and management team. Expect a high degree of autonomy and responsibility from the outset, allowing you to make a significant impact without the hindrance of legacy systems or bureaucratic red tape.Your ResponsibilitiesFollowing a brief training period, you will focus on enhancing existing trading strategies, introducing new trading products, and advancing the technology behind our trading systems. You will analyze extensive trading and transaction data to extract insights, prioritize them, and devise solutions based on your findings. You will have the opportunity to influence P&L positively and will be encouraged to experiment with innovative ideas and strategies. We will provide more technical specifics during the interview process.Please note: We seek individuals with strong quantitative and coding skills; however, this is primarily a business/trading role rather than a research position.

Join Hudson River Trading (HRT) as a Systems Engineer within our dynamic Research & Development team. We are at the forefront of technology, building and maintaining expansive distributed compute clusters and multi-petabyte storage solutions. Our facilities boast GPU and CPU compute clusters that surpass those of many national laboratories, and we are developing our own on-premises data centers globally. Our teams are dedicated to optimizing computing, networking, storage, and power usage for unparalleled performance. Our people and our computational resources are our greatest assets, and we are committed to investing in both.As a full-time Systems Engineer, you will play a pivotal role in projects that ensure our live trading and research operations run seamlessly around the clock, globally. Your responsibilities will vary from maintaining our high-performance computing (HPC) environment to designing and implementing services that enhance our research capabilities. Duties will include hardware and software installation, configuration, remote administration, monitoring, testing new technologies, developing automation tools, and performance tuning.

Hudson River Trading is hiring a Junior Trading Systems Engineer to join its Trading Systems Infrastructure team. This group is responsible for designing, building, and maintaining the high-performance infrastructure that supports the firm's global trading operations. The focus is on ensuring reliability and efficiency for ultra low-latency operating systems, automation tools, and platforms that keep trading strategies running around the clock. Key responsibilities Contribute to projects within a real-time trading environment Address challenges that demand high availability, high throughput, and ultra low-latency solutions Support the maintenance and improvement of core infrastructure for global trading systems Assist in developing and automating tools that back trading operations What we look for Strong interest in coding and automation Willingness to learn new skills and technologies to work with a complex technical stack Ability to solve technical problems in a demanding setting Locations Chicago, Illinois, United States London, United Kingdom New York, NY, United States

Role Overview Talos Trading is hiring a TechOps Engineer - System Administrator in London. This position plays a key part in supporting and improving the technology that powers our trading operations. The work focuses on maintaining and optimizing systems so trading platforms run smoothly and efficiently.

Are you eager to explore the exciting realm of high-frequency trading? Do you have a passion for advanced technology's role in trading? Join us for our UK Masterclass in London! This immersive program will take place on September 27 for Trading enthusiasts and on September 28 for those interested in Technology. During the Masterclass, you'll gain insights into technology-driven high-frequency trading at IMC. Experience the dynamic intersection of trading and software engineering firsthand. Learn the fundamentals of interacting with a financial exchange and how to develop a strategy capable of processing market data and assessing profitability. You'll engage in not just one, but two unique coding challenges crafted in-house!

Wehrtyou is excited to announce an opening for a Trading Systems Engineer within our vibrant Systems team. This team is instrumental in developing and managing the high-speed, dependable infrastructure that drives our global trading operations. As part of our team, you'll play a crucial role in deploying and overseeing all servers in our trading environment, ensuring exceptional performance and reliability. In this role, you'll encounter a range of technical challenges that have a significant impact on our live trading and research operations. Daily tasks will include installing and configuring hardware and software, remote administration, monitoring system performance, testing new technologies, and optimizing system efficiency. We're looking for a passionate and innovative technologist eager to learn and contribute to meaningful projects in a fast-paced and collaborative setting. If you're enthusiastic about working on cutting-edge systems vital to our success, we encourage you to apply!

Front Office IT Support Engineer – Trading & Electronic Trading SystemsJoin MARGO in the UK (London)MARGO is a technology-driven consultancy that provides high-value IT expertise to the financial services sector.We thrive in complex Front Office environments where technology, trading activity, and operational constraints converge. Our team supports and manages mission-critical trading systems utilized by Front Office, trading, and risk teams, ensuring responsiveness, reliability, and a deep technical understanding.Being part of MARGO means engaging in challenging Front Office environments while enjoying a close-knit structure, personalized support, and customized training pathways.Business ContextIn this role, you will be integral to Front Office IT Support and Trading Technology, providing support for live trading operations across various asset classes.Our systems are production-critical, operate in real-time, and demand a strong emphasis on stability, performance, and incident management. You will collaborate closely with traders, sales, risk, development, and infrastructure teams.Role OverviewWe are seeking a Front Office IT Support Engineer to oversee, enhance, and maintain trading and electronic trading systems.This position extends beyond mere reactive support; it requires proactive ownership of Front Office platforms, involvement in change initiatives, and hands-on troubleshooting of production issues in real-time settings.Ideal candidates will have a strong passion for trading systems, production environments, and a desire for progressive technical challenges.Key ResponsibilitiesProduction Support & Operations· Deliver Front Office IT support in live trading environments.· Ensure the availability, stability, and performance of trading systems during market hours.· Collaborate with various teams to identify and resolve issues efficiently.

Join Us as a Software EngineerAt Talos, we are leading the way in institutional trading technology for the digital asset market, established in 2018. Our cutting-edge solutions empower major players in the crypto ecosystem, facilitating seamless trading and settlement processes.Our mission is to promote the widespread adoption of digital assets, creating a trusted and innovative platform that supports the entire trading lifecycle. We pride ourselves on fostering a workplace that values kindness, respect, and inclusivity, where diverse perspectives fuel our progress.As part of a close-knit yet decentralized team of skilled engineers and professionals, you will thrive in our hybrid-friendly environment, with hubs in New York, London, Singapore, Sweden, and Cyprus.As a Software Engineer at Talos, you will be instrumental in developing high-performance systems that bridge the gap between crypto and capital markets. Collaborating with our talented team, you will enhance our backend trading and settlement platform, focusing on areas such as order routing, market data connectivity, position management, and risk systems.We seek passionate engineers eager to take ownership of their work and contribute across the entire development lifecycle—design, implementation, testing, and deployment. If you enjoy tackling complex challenges in a fast-paced environment and are eager to learn from seasoned colleagues, we want to hear from you! Experience in finance or crypto is a plus, but your coding skills, critical thinking, and collaborative spirit are our top priorities.Interested in our engineering culture? Explore Sonic, our inaugural open-source project that enables microsecond network stack latency in Go: https://github.com/talostrading/sonic

Join Our Innovative Team in the Digital Asset MarketFounded in 2018, Talos is at the forefront of providing institutional-grade trading technology tailored for the global digital asset market, empowering many key players within the crypto ecosystem.At Talos, our mission is to foster the widespread adoption of digital assets by effectively connecting institutions to the evolving digital asset landscape. We are dedicated to developing the most innovative and trusted platform, supporting a comprehensive trading lifecycle.Our workplace embodies kindness, respect, and inclusivity, valuing diverse perspectives that contribute to our growth. We believe that each team member brings unique insights and skills that propel Talos towards excellence. In our commitment to collaboration and mutual success, we cultivate a culture of trust and integrity, working together to build something remarkable. Your contributions will be vital to our collective achievements.We are a close-knit yet decentralized team of experienced engineers and business professionals, operating in a hybrid-friendly environment with offices in New York, London, Singapore, Sweden, and Cyprus.About the RoleAs a Software Engineer in our Trading Connectivity team, you will be responsible for designing, developing, and maintaining high-performance backend systems that interface with our extensive provider network. Your role will involve collaborating with product managers, trading support, other engineering teams, and clients to facilitate the integration of new liquidity providers into the Talos network. You will be instrumental in enhancing the platform's scalability, reliability, security, and overall performance, managing the integration process from requirement gathering to deployment.To learn more about Talos's engineering culture, explore Sonic, our inaugural open-source project that enables us to achieve microsecond network stack latency in Go: https://github.com/talostrading/sonic

Join the Digital Asset RevolutionFounded in 2018, Talos is at the forefront of institutional-grade trading technology for the global digital asset market, enabling many prominent players within the crypto ecosystem. Our mission is to facilitate the widespread acceptance of digital assets by connecting institutions to this evolving landscape seamlessly. We are dedicated to creating the most innovative and reliable platform in the industry, supporting the entire trading lifecycle.At Talos, we promote a culture of kindness, respect, and inclusivity, valuing diverse perspectives that contribute to our collective success. Each team member brings unique insights and skills that propel Talos forward, fostering a collaborative environment built on trust, integrity, and mutual growth.As part of our globally distributed team of seasoned engineers and business professionals, you will find a hybrid-friendly workplace that encourages your unique talents and contributions to help us build something extraordinary.Client Services Engineer RoleWe are seeking a skilled Client Services Engineer to support our clients in a dynamic, round-the-clock global digital asset trading environment. This pivotal role will ensure ongoing client success and the overall integrity of our trading systems.

Join Longshot Systems Ltd, where we create cutting-edge platforms for sports betting, analytics, and trading. We are seeking a Senior DevOps Engineer to enhance our platform team.You will manage a medium-sized deployment that connects with global sports betting platforms and supports multiple internal teams with diverse infrastructure needs. Your role will involve overseeing critical systems from backtesting to real-time trading and long-running backend services.Our infrastructure is hosted on AWS, and we are undergoing an evolution focused on automation and repeatability to drive our growth. Our core systems process thousands of trading signals per second, requiring minimal latency, presenting similar challenges to high-frequency trading environments but in the sports betting sector.As a Senior DevOps Engineer, you will collaborate closely with the CTO and development team to maintain our production and development trading infrastructure. You will take the lead on developing new infrastructure and troubleshooting performance and stability issues across applications, networks, and operating systems. You should be adept at analyzing metrics, packet dumps, and logs to identify and resolve issues, followed by implementing automation to prevent future occurrences.The ideal candidate is autonomous and innovative, thriving on generating new solutions and suggesting improvements to current methodologies. We offer you flexibility and the freedom to explore effective solutions.We embrace a hybrid work model, requiring in-office attendance on Thursdays at our London (Farringdon) office, with flexible arrangements for the remainder of the week. Our standard working hours are 10 AM to 6 PM UK time, Monday to Friday, with support for flexible schedules to achieve your goals.Regarding on-call responsibilities, while we do not maintain a 24/7 rota, we have a compensated on-call system based on best efforts, which will involve sharing responsibilities within the platform team.Interview Process:Introductory call (30 mins) – discuss your background and interests.First technical interview (30 mins) – live systems management and code review.Second technical interview (60 mins) – in-depth technical questions.Full assessment day (10:30 AM – 5 PM) – a practical systems engineering exercise reflecting actual team work. Meet the team, tour the office, and enjoy a complimentary lunch.

Production Engineer - Electronic Trading SystemsJoin MARGO in London, UKMARGO Group is a cutting-edge consultancy that provides high-value IT expertise to the financial services sector. We specialize in complex Front Office environments where trading activities depend on robust, high-performing, and resilient production systems. Our experts bridge the gap between trading, development, and infrastructure teams to ensure critical platforms operate reliably under the pressures of real-time market conditions.Becoming a part of MARGO means thriving in challenging production environments, benefiting from a close-knit structure, personalized support, and tailored training programs.Business ContextIn this role, you will engage with Front Office Production and Trading Technology environments, actively supporting live trading and electronic trading platforms. These critical production environments operate in real-time and necessitate strong ownership of system stability, performance, and incident management. You will interact closely with traders, developers, IT support, and infrastructure teams.Role OverviewWe are seeking a dedicated Front Office Production Engineer to manage, stabilize, and enhance our trading and electronic trading systems. This role is highly technical and focuses on production. It combines hands-on system operation with in-depth incident investigation, performance optimization, and automation, providing close support to Front Office users.This position is ideal for individuals who take pride in owning production systems, comprehending application behavior under load, and collaborating across teams to enhance reliability and performance.Key ResponsibilitiesProduction Ownership & Reliability· Operate and support Front Office trading systems in live production environments.· Ensure the highest levels of availability, stability, and performance during trading hours.

Queueco is seeking a skilled Quantitative Developer with a focus on High-Frequency Trading (HFT) to become a vital member of our compact team. In this pivotal role, you will be key in the design, enhancement, and optimization of our trading engines and systems, ensuring they excel in performance and efficiency.Your collaboration with traders and researchers will be crucial in comprehending exchange architectures, protocols, market data, and order entry APIs. Your ability to translate this knowledge into our low-latency solutions will enable us to trade profitably on major exchanges. This position demands a strong focus, impeccable attention to detail, outstanding programming capabilities, and ideally, a passion for financial markets.Please note that this is an onsite role; remote work options are not available.

The Vice President of Trading Systems Development at Galaxy Digital Services will lead the architecture and development of high-performance trading systems in London. This role focuses on building and optimizing systems that handle market data ingestion, order routing, and execution, all while reducing latency and ensuring deterministic performance across critical trading workflows. Role overview This position sits at the intersection of software engineering and infrastructure. The main objectives are to minimize latency, maximize throughput, and deliver predictable performance for trading operations. The work directly supports the firm's institutional digital asset platform, which spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. What you will do Design and develop low latency trading systems that process large volumes of market data and execute trades efficiently. Architect solutions for order routing and execution, focusing on high throughput and reliability. Collaborate with cross-functional teams to ensure trading infrastructure meets performance and scalability requirements. Requirements Experience building low latency trading systems. Background in high-performance messaging, especially in Java. Strong understanding of both software engineering and infrastructure as it relates to trading workflows. Our culture Galaxy values high performance, open feedback, and a mission-driven approach. The team brings together deep cryptocurrency expertise and institutional experience, working together to shape the future of Web3 and AI. The company encourages independent decision-making, transparent disagreement, and building exceptional teams. Strive for Excellence Selectivity for Effectiveness Highly Aligned, Loosely Coupled Transparent Disagreement Encourage Independent Decision-Making Build Exceptional Teams

At Longshot Systems, we develop cutting-edge platforms for sports betting analytics and trading.We are currently seeking experienced Machine Learning Engineers to join our modeling engineering team. In this role, you will collaborate closely with our quantitative research teams to transform prototype trading models into robust, production-ready systems. You will be responsible for designing and building the tooling, frameworks, and data engineering necessary to support strategy research and development, while also architecting high-level designs of the strategy software to minimize trading latency and ensure scalability. Our ML stack is primarily Python-based, incorporating modern ML libraries and tools such as Polars, Ray, and Plotly.The ideal candidate will possess a solid software engineering background, with extensive experience in high-performance computing topics such as multi-threading, networking, profiling, and optimization. Proficiency with the NumPy/SciPy stack is essential, along with experience in performance optimization tools like C++ and Numba. Familiarity with common ML algorithms and techniques is advantageous but not mandatory.As a hybrid working company, we require team members to work in our London (Farringdon) office on Thursdays, while offering flexibility for remote work on other days. Our standard working hours are from 10 am to 6 pm UK time, Monday to Friday, but we encourage flexible schedules to help our team meet their objectives.Interview Process:Introductory Call (30 mins) - Discuss your background and interestsFirst Technical Interview (30 mins) - Live code review and pair programmingSecond Technical Interview (60 mins) - In-depth technical questionsFull Assessment Day (10:30 am to 5 pm) - A programming exercise reflective of actual team tasks

Longshot Systems builds advanced platforms for sports betting analytics and trading. The team blends software engineering, machine learning, and expertise in sports markets to develop trading strategies for clients. Role overview The Sports Betting Trading Analyst joins the modeling team as a subject matter expert in sports and betting markets. This role works closely with software engineers and machine learning specialists to refine and improve trading strategies. Key responsibilities include monitoring client trading activity, analyzing historical trade data, and applying deep knowledge of the sports betting landscape to spot improvements and value leaks in both current and new strategies. What you will do Work with engineers and machine learning specialists to enhance trading strategies Analyze historical trades and client activity to identify areas for improvement Apply expertise in sports and betting markets to find value opportunities and leaks Use data analysis tools, especially Python and Jupyter notebooks, to extract insights Engage with a wide range of sports from a betting perspective Requirements Strong passion for sports and sports betting, ideally with experience as a professional bettor Deep understanding of betting exchanges, prediction markets, and sharp bookmakers, including US and Asian markets Proficiency with Jupyter notebooks and data analysis in Python Strong numerical skills and a solid background in statistics Interest in following a broad range of sports, especially through the lens of betting Working arrangements This position follows a hybrid working model. Thursdays require in-person attendance at the London (Farringdon) office, while the rest of the week offers flexibility. Core hours are 10 am to 6 pm UK time, Monday through Friday, with support for flexible working to help the team meet goals. The role often benefits from engagement during sporting events, and tools are available to review games outside regular hours. Interview process Introductory call (30 minutes) to discuss background and interests First technical interview (90 minutes) for an in-depth discussion of experience Comprehensive assessment day (10:00 am - 6:00 pm) on-site, focused on data analysis using Python to generate insights