about scaling models—it’s about rethinking how AI workloads are executed at speed and scale. You’ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement … infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-lowlatency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve performance bottlenecks across the stack, from model execution and scheduling More ❯
Global Markets: High Performance Architectures - Infrastructure (HPAi) group. This team is responsible for all electronic trading infrastructure architecture across all markets globally for the firm. It is composed of lowlatency Subject Matter Experts (North America, EMEA), Systems Architects (both regional and asset class aligned) and an aligned initiative management function (e.g. Technical Project Manager). Technology is … and engage effectively in a very technical manner with other SMEs, systems architects, the business (at times), Markets-Tech, and enterprise infrastructure organizations (CTI/CISO). The environment LowLatency Trading - Rates and Cross Markets, domain specific technology is required (solid knowledge for as many of the following as possible): Compute (Linux - O.S., Tuning, kernel bypass technologies … venue, client. nvLink, uaLink, CXL, UltraEthernet) Colo/Datacenter (Power, Space, Cage, Rack, Cabinet, Design) Market Data (Bloomberg, Reuters, RAW | Consolidated Feeds) Skills & Experience Systems Architecture experience in a LowLatency etrading Trading environment Deep knowledge of operating system fundamentals - hyper focus on Linux (REL, CoreOS) Understanding of OSI model and TCP and UDP network protocols Experience with More ❯
skills: Proven experience as a senior/principal engineer in high-performance trading systems or similar domains. Microsoft C# .Net backend, React front end and Java components. Experience with low-latency, high-throughput messaging systems (e.g., Kafka, RabbitMQ, or proprietary systems). Expertise in cloud technologies and deployment pipelines (AWS, GCP, or Azure). Expertise in performance profiling More ❯
worked within a Front Office environment previously Business knowledge around Fixed Income products would be advantageous Knowledge of AWS is a plus Experience with performance tuning and working on lowlatency e-trading systems is a huge advantage Knowledge of messaging systems (MQ, Solace) is preferred Someone who has worked on greenfield systems before is advantageous Excellent communications More ❯
support for overseas applicants - Modern tech stack deployed alongside some of the best talent in quant finance Requirements: - Excellent C++ programming skills, ideally using a modern version - Expertise with lowlatency/high throughput systems - Some level of experience with Python - Experience working with systems processing high volumes of data (terra or petabyte-scale) - Extensive expertise with at More ❯
leads across engineering to plan, develop, test, and deliver software for a range of products. Specific Responsibilities Embedded Software Systems Understand the deployment of real-time operating systems for lowlatency sensing, computation, and communication. Design, develop, and debug complex embedded systems utilising a broad range of communication protocols and peripherals. Hardware in the loop testing, debugging, and More ❯
engineering. The role involves significant technical leadership, including mentoring team members and driving code design discussions. The position requires expertise in Golang and microservices, with experience in high-throughput, low-latency solutions built on modern technologies like Kafka and Kubernetes. You'll be responsible for containerizing services, implementing robust testing strategies, and maintaining high code quality standards. The More ❯
in sprint refinement sessions. Ideal Experience Experience with Microservice Architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python). Experience working with Kafka and Domain Driven Design. Experience with designing lowlatency, reliable (fault tolerant), scalable, secure, and cost-effective solutions on a cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Ability More ❯
in sprint refinement sessions. Ideal Experience Experience with Microservice Architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python). Experience working with Kafka and Domain Driven Design. Experience with designing lowlatency, reliable (fault tolerant), scalable, secure, and cost-effective solutions on a cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Ability More ❯
in sprint refinement sessions. Ideal Experience Experience with Microservice Architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python). Experience working with Kafka and Domain Driven Design. Experience with designing lowlatency, reliable (fault tolerant), scalable, secure, and cost-effective solutions on a cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Ability More ❯
stability Understanding of Credit or similar financial markets products Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Familiarity with modern low-latency technologies About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals More ❯
with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI) Experience with model monitoring, A/B testing, and performance optimization Experience with real-time inference systems and low-latency model serving Knowledge of adversarial ML and AI security/robustness techniques Experience with graph neural networks for network analysis Experience in design, deployment, support of AI More ❯
stability Understanding of Credit or similar financial markets products Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Familiarity with modern low-latency technologies About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals More ❯
stability Understanding of Credit or similar financial markets products Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Familiarity with modern low-latency technologies About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals More ❯
connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect lowlatency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore More ❯
great products that make a difference on one of the world's most trafficked and loved websites. The ideal candidate has a deep understanding of building large scale applications, lowlatency API's, data pipelines, and a high focus on capability oriented architecture. As the lead engineer you will oversee aspects of the software lifecycle. Primary Job Responsibilities More ❯
sprint refinement sessions etc. Ideal Experience Experience with Microservice Architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python) Experience working with Kafka and Domain Driven Design Experience with design of lowlatency, reliable (fault tolerant), scalable, secure and cost-effective solutions on a cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Experience More ❯
meet the evolving needs of developers. What you'll need Demonstrated expertise and hands-on experience with the Rust programming language. Hands on experience building high through-put systems, lowlatency and high availability software. Bachelor's degree in Computer Science, Software Engineering, or a related experience. Strong computer fundamentals (e.g. algorithms, data structures and concurrency). Excellent More ❯
backend services for a government client leveraging the latest commercial and open-source technologies. This involves designing, developing, documenting and deploying backend services with a focus on high availability, lowlatency and scalability. Design, develop, document and deploy new or enhanced features to our backend services that meet functional/non-functional business requirements Actively participate in the More ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
ASDA
Contribute to Licence management of Atlassian and other software Work under guidance of Software Engineers to understand problems, analyse requirements & deliver solutions that enhance engineering productivity Write code for lowlatency, highly available and scalable solutions Contribute to delivering initiatives to improve system observability, incident response processes and operational efficiency Continually update technical knowledge and skills using internal More ❯
Ag-Grid for complex data visualization. Integrate with backend services using WebSockets for live market data and trade updates. Maintain and enhance existing UI applications, ensuring high availability and low latency. Translate business requirements into technical specifications with a strong focus on user experience. Required Skills & Experience: 8 to 10 years of hands-on experience in UI development with More ❯
Ag-Grid for complex data visualization. Integrate with backend services using WebSockets for live market data and trade updates. Maintain and enhance existing UI applications, ensuring high availability and low latency. Translate business requirements into technical specifications with a strong focus on user experience. Required Skills & Experience: 8 to 10 years of hands-on experience in UI development with More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
Backend Software Engineer/Developer (Java LowLatency OMS EMS) WFH to £100k Are you a skilled Backend Software Engineer with strong Java skills and lowlatency trading systems experience? You could be progressing your career at a global market data and trading platform provider for Cryptocurrency markets. As a Backend Software Engineer you will develop … test and maintain high-quality, low-latency Java applications handling millions of requests per day, collaborating with cross-functional teams to design systems that meet business and regulatory requirements. You'll seek to continuously improve system performance and scalability, implement automated testing, CI/CD pipelines and document system workflows, architecture and design decisions. Location/WFH: You … times - please note: you must have the right to work in the UK and be UK based. About you: You have strong Java development experience including concurrency, garbage collection, low level performance optimisation, data structures and memory efficient design patterns You have experience with lowlatency systems, particularly OMS (Order Management Systems), EMS (Execution Management Systems) You More ❯
new HFT platform built in Rust. Your mission will be to work on (and not limited to): Develop trading algorithms: Create and improve algorithms for trading, including those for low-latency, high-frequency trading. Build front-office systems: Create systems for algorithmic trading, including data, risk, live trading, and post-trade. Integrate with DeFi venues: Onboard real-time More ❯
with cloud ai platforms (aws bedrock, azure openai, google vertex ai) experience with model monitoring, a/b testing, and performance optimization experience with real-time inference systems and low-latency model serving knowledge of adversarial ml and ai security/robustness techniques experience with graph neural networks for network analysis experience in design, deployment, support of ai … with cloud ai platforms (aws bedrock, azure openai, google vertex ai) experience with model monitoring, a/b testing, and performance optimization experience with real-time inference systems and low-latency model serving knowledge of adversarial ml and ai security/robustness techniques experience with graph neural networks for network analysis experience in design, deployment, support of ai More ❯