15 of 15 Remote Performance Optimisation Jobs in Slough

reviewed until WC 3rd November We’re partnering with a global investment bank to hire an exceptional Software Engineer to join a flagship team delivering a next-generation, high-performance derivatives risk platform . This is a mission-critical front-office role working on real-time distributed systems with exceptional technical standards. You’ll be part of a high … Python or Java , ideally with working knowledge of another. Rust very desirable Proven experience designing and developing complex, distributed, real-time systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in More ❯

scenario analysis for high-volume, data-intensive trading activity. As Lead Developer, you will drive the architecture and implementation of a cloud native, microservice based risk framework, ensuring scalability, performance, and accuracy across all risk computations. You will collaborate closely with quantitative developers, traders, and other stakeholders to industrialise models and deliver a best-in-class risk capability. This … based risk infrastructure with high scalability and low latency. Provide hands-on technical leadership and mentorship within a distributed team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL More ❯

CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data More ❯

Principal JavaScript Performance Engineer (with C++/Java/C# exposure) Location: London (Hybrid – 2 days WFH) Salary: £150,000 - £200,000 (Permanent)pension, private healthcare, gym membership, 25 days + 8 BH holiday allowance, tech/hardware budget. A high-growth software company is building the gold standard in UI frameworks and data-intensive visualisation technology . With … of what’s possible in the browser — solving problems of scale, speed, and complexity that ordinary web development never touches. What you’ll do Design and optimise a high-performance UI framework used globally in real-time applications. Push the limits of JavaScript, TypeScript, and the browser runtime to handle millions of data points smoothly. Solve deep algorithmic and … and enterprises worldwide. What you’ll bring Mastery of vanilla JavaScript and TypeScript , with additional exposure to C++, Java, or C# . Strong knowledge of data structures, algorithms, and performance optimisation . Experience with frameworks like React, Angular, or Vue , and a deep understanding of DOM internals and rendering pipelines . A systems-level mindset : diagnosing bottlenecks, eliminating More ❯

solutions, with a preference for experience in both relational databases like SQL Server and NoSQL databases like MongoDB or CosmosDB. debugging and troubleshooting skills within the .NET environment, including performance optimization and monitoring. Familiarity with a range of software development tools, such as source code management (e.g. Azure DevOps, Git), build and release management (e.g. Azure DevOps Pipelines) and More ❯

paced product team delivering impactful mobile experiences to a global user base. What you’ll do Build and maintain robust mobile apps using React Native and Expo Optimise app performance, implement modern architecture patterns, and handle push notifications, offline-first features, and state management Collaborate on backend APIs (REST or GraphQL) and integrate secure authentication methods - JWT, OAuth Deploy … deployment processes Experience with database design (SQL or NoSQL) and backend integrations Proven AWS deployment experience and familiarity with Infrastructure as Code (CDK) Knowledge of monitoring, logging, and application performance optimisation Why Apply? Outside IR35, long-term contract with genuine extension potential High-value project Opportunity to influence software adoption at global scale Flexibility to work remotely within More ❯

v16–v19+). Build and maintain integrations between Endur and internal/external systems. Collaborate with business analysts, traders, and risk teams to deliver technical solutions. Support release cycles, performance optimisation, and DevOps practices. Contribute to ongoing digital transformation and trading platform modernisation initiatives. Key Skills & Experience Strong experience in Endur development (v16+). Expertise in JVS, .NET More ❯

benchmark, and deploy GPU-accelerated software and AI models at scale. Responsibilities: Design and maintain CI/CD pipelines for GPU-accelerated codecs and AI/ML libraries. Automate performance benchmarking and regression testing across multiple GPUs and hardware targets. Manage containerised environments (Docker, Kubernetes) to deploy GPU and ML workloads at scale. Provision and optimise GPU cloud infrastructure … containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. Strong scripting and programming skills (Python, Bash, C/C++ exposure a plus). Knowledge of monitoring, logging, and performance testing for GPU/ML workloads. Excellent More ❯

Leadership & Architecture Define and execute engineering strategy aligned with business objectives Develop and lead a high-performing team of Data Engineers, Data Analysts, and Data Scientists Architect scalable, high-performance data infrastructure with sophisticated system design principles Apply advanced computer science concepts (algorithmic complexity, Big O notation, design patterns) to solve complex data challenges Lead technology selection, build vs. … on Leadership Maintain hands-on involvement, writing and reviewing high-quality production code for up to 50% of the time Establish engineering standards that ensure code maintainability, testability, and performance Lead code reviews and technical design discussions, providing expert guidance Optimize systems for speed, scalability, and reliability through sophisticated engineering approaches Oversee the evolution of our data infrastructure including … development efforts and client discussions Stay current with AdTech industry developments to identify technical opportunities Delivery & Execution Drive execution of the technical roadmap with high standards for quality and performance Oversee development lifecycle processes that balance speed with engineering excellence Implement data governance and security best practices across our platform Ensure efficient data storage, processing, and retrieval at scale More ❯

leading global FX trading platform as a Java Engineer, contributing to the backbone of ultra-low latency systems powering high-volume electronic trading. This role focuses on building high-performance, globally distributed Java services that enable real-time transaction processing, configuration management, and support for quantitative research and trading teams. Key Responsibilities: Develop scalable backend systems to support high … frequency FX trading Collaborate with quants and traders to deliver platform enhancements Drive performance tuning and solve low-level technical bottlenecks Maintain high standards in testing, documentation, and code quality Tech Stack & Skills: Strong proficiency in core Java Exposure to JavaScript/TypeScript & HTML5 is a plus Deep understanding of data structures, algorithms, and performance optimization Familiar with More ❯

and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud-based platforms. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and … standards are met across all projects. Required Skills Strong experience with Azure data services (Data Factory, Synapse, Blob Storage, etc.). Proficiency in SQL for data manipulation, transformation, and performance optimisation. Hands-on experience with Databricks (Spark, Delta Lake, notebooks). Solid understanding of data architecture principles and cloud-native design. Experience working in consultancy or client-facing roles More ❯

integration between computation, data, and science. You should have Deep experience building and scaling backend systems and distributed applications . Strong coding skills in Python , with an understanding of performance tuning and concurrency. Hands-on experience with Kubernetes , AWS , and modern cloud infrastructure . Proficiency with databases — schema design, performance optimization, and analytics. Familiarity with REST APIs , websockets … security best practices. A disciplined engineering mindset — you think about reliability, maintainability, and long-term scalability. Nice-to-haves Experience with MLOps and model-serving infrastructure. Background in high-performance computing or large-scale scientific workloads. Expertise in data pipeline architecture and real-time streaming systems. Knowledge of scientific or biological computing environments . This is a rare opportunity More ❯

on Genesys-related technical issues, challenges, and solutions. Serve as a trusted advisor on Genesys technologies, capabilities, and best practices, helping stakeholders maximize the value of their Genesys investments. Performance Optimization and Tuning: Identify opportunities to optimize performance, efficiency, and scalability of Genesys contact center environments through system tuning, configuration adjustments, and capacity planning. Conduct performance assessments … diagnostic analyses, and tuning activities to ensure optimal performance under varying workloads and conditions. Training and Knowledge Transfer: Develop and deliver training sessions, workshops, and educational materials to internal teams and stakeholders on Genesys products, features, and implementation methodologies. Facilitate knowledge sharing and collaboration within the organization to build internal expertise and capabilities in Genesys technologies. Vendor Management and More ❯

real-time trading Crafting interactive dashboards and research tools with live insights and streaming data Working with the quants to turn complex models into intuitive, usable interfaces Developing high-performance UIs for large-scale datasets and real-time visualisations Bringing real-time ML insights to life Implementing real-time data streaming and WebSocket-powered interfaces for instant updates Applying … modern React patterns, component architecture, and performance optimisations to mission-critical apps Shaping the future of trading interfaces, using the latest front-end tech to solve unique quant challenges Innovating! Ideal background: Minimum 1 year+ experience with React/TypeScript/Next.js etc Ideally someone Python Solid CompSci fundamentals (degree ideally but not essential) Passion for tech — meetups, side More ❯

connectivity, including caching, buffering, and sync/retry mechanisms. Implement synchronisation strategies between edge devices (e.g. SQLite) and cloud systems (PostgreSQL). Drive best practices in architecture, modularity, and performance through thorough code reviews. Mentor and support engineers, contributing to a culture of technical excellence. Maintain clear and comprehensive technical documentation for APIs and services. Key Requirements as a … with strong Python experience. Proven experience deploying to, or strong passion for working on, constrained hardware (NUCs, Raspberry Pi, embedded Linux). Strong database skills (PostgreSQL, SQLite) and ORM performance optimisation. Experience with TDD and writing maintainable, production-grade code. Strong communicator with collaborative mindset. Nice-to-Haves: Experience working with embedded, IoT, kiosk, or distributed edge systems. Background More ❯