201 to 212 of 212 Performance Tuning Jobs in the UK

with front‐office platforms such as SecDB, Athena, Quartz, or equivalent. Strong programming in Python and/or C++; experience architecting maintainable, testable, high‐performance codebases and extending large‐scale libraries; proficiency in numerical methods and performance tuning. Proven experience designing, calibrating, and maintaining IM/pricing models … e.g., curve construction, volatility surfaces, credit/rates models, margin frameworks), including performance monitoring and backtesting. Experience delivering production services with Technology partners (APIs, packaging, CI/CD, containerization, logging/monitoring); familiarity with data engineering and compute frameworks. Excellent quantitative problem‐solving; able to decompose ambiguous problems, select ...

Implement: Design scalable, event-driven, microservices-based backend components, including APIs, market data, order/risk workflows, and real-time streaming capabilities. Optimise Performance: Focus on improving latency, throughput, and reliability across the entire stack. Implement observability practises (metrics, tracing, logging) and conduct performance profiling. Establish Best Practises … clear specifications and implementation plans. Skills & Experience: Professional Experience: Strong background in software engineering with deep expertise in Core Java, multithreading/concurrency, and performance tuning. Low Latency Expertise: Proven experience in low latency design and patterns that enhance trading performance. Distributed Systems: Experience in designing and operating distributed ...

months initial Rate: £ per day Inside IR35 About the role Contribute to a new, cutting-edge, low-latency FX e-trading platform - delivering high-performance, resilient, and secure systems. Partner closely with product, trading, and infrastructure teams to deliver features end-to-end—from UI and desktop container experiences … market data, order/risk workflows, and real-time streaming. Optimize latency, throughput, and reliability across the stack; instrument observability (metrics, tracing, logging) and performance profiling. Establish engineering best practices: code standards, testing strategies (unit/integration/E2E), CI/CD, secure coding, and release management. Mentor engineers ...

multi‐year convergence and modernization journey. You will play a pivotal role in shaping our next‐generation SRE patterns, reliability frameworks, observability strategy, and performance engineering capabilities across globally distributed systems. This role is ideal for an SRE specialist who thrives in fast‐paced front‐office environments, enjoys direct … software engineering team, participating in daily standups and design discussions. Contribute directly to the codebase (Java, Kotlin, Python) to implement reliability improvements, performance optimisations, bug fixes, and automation. Lead the design and rollout of modern SRE patterns across trading systems, including automated remediation, self‐healing workflows, and resilience engineering. ...

market-facing and low-latency infrastructure for Forex and Fixed Income trading. Strong Linux/Unix administration skills with focus on network and messaging performance tuning. Automation and scripting proficiency (Python, Shell scripting, SQL). Experience & Soft Skills: Strong experience in technical platforms or infrastructure support, preferably in electronic … Implement Solace DMR for inter-datacenter message distribution. Define and enforce Solace governance frameworks, naming conventions, and messaging standards. Monitor and optimize message flow performance, identifying and resolving latency issues. Capacity plan for Solace infrastructure based on trading volumes and growth projections. Trading Application Integration: Collaborate with CMI development ...

Detailed Job Description **Key Responsibilities** * Build and maintain scalable modular data models using dbt inside Snowflake. * Transition complex, unoptimised Teradata views into high-performance Snowflake tables. * Implement data quality testing, version control (Git), and CI/CD pipelines for analytics code. * Manage Snowflake warehouse optimization, access controls (ABAC … query performance tuning. **Technical Requirements** **Core Platforms:** Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience. **Modeling Concepts:** Semantic Modeling, Dimensional Modeling (Kimball), Business/Logical/Physical Modelling. **Skills:** Software engineering mindset applied to SQL; git workflows, and automated testing. ...

networking initiatives to stakeholders across the business. Drive the technical roadmap. Shape Mimecast’s hybrid-cloud network architecture through design, deployment, capacity planning, and performance tuning. Be the escalation point. Serve as the senior technical escalation for complex network incidents and architectural decisions within the Cloud Networking team. Collaborate … standard for infrastructure-as-code practices. Ensure the team builds scalable, intelligent, and repeatable network automation solutions. Manage people operations. Hiring, onboarding, performance management, career development, and retention. Establish engineering processes. Build and refine operational runbooks, reliability practices, and engineering processes to support a production-first culture. Represent ...

site reliability practices to cutting-edge AI platforms. You’ll work hands‐on with cloud and Kubernetes‐based deployments, deep observability, and cost‐aware performance tuning. If you enjoy solving hard production problems and making platforms measurably better, you’ll find meaningful impact and growth here. As a Lead … will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost‐efficiency of the LLM inference platform end to end. You will operate large language model serving stacks (such as vLLM ...

feeds) with versioning, documentation, and clear ownership. Design data models that fit both operational systems (RDS) and analytics stores (columnar/OLAP), including performance and cost tuning. Ensure data products also power ML workflows: trusted training datasets, feature-ready outputs, and consistent definitions for decision‐making. Enable AI automation … Google Cloud (IaaS level: compute, storage, networking, IAM). Practical experience with both operational databases (RDS‐style) and analytics stores (columnar/OLAP), including performance tuning. Strong data modeling ability, including schema evolution, conformed dimensions, and “one source of truth” metric definitions. Track record of delivering data products that ...

software house in the City of London is seeking an experienced Senior C++ Engineer to join its core development team. Youll work on high-performance trading and market-data systems used by hedge funds, proprietary trading firms and global investment banks technology where microseconds matter and engineering quality directly … architecture of systems that operate at scale across global markets. About the Role As a Senior C++ Engineer, you will design, implement and optimise performance-critical software that powers front-office trading workflows. Youll work closely with quants, traders and other engineers to deliver robust, low-latency solutions ...

Networks with customised monitoring policies and alerting. Integrating infrastructure and network devices including hardware, virtual machines, storage platforms, switches, routers and firewalls. Configuring performance monitoring, capacity planning and observability solutions. Enabling network flow visibility and dependency mapping. Tuning alerts to reduce noise and improve operational effectiveness Developing dashboards … technical teams. Strong understanding of NSX and core networking concepts. Experience in infrastructure monitoring, alerting and observability solutions. Knowledge of capacity management and performance tuning. Experience integrating network and infrastructure devices using protocols such as SNMP and ICMP. Previous experience working within secure or highly regulated environments. What ...

design and operate scalable AI infrastructure for reliable LLM serving at production scale. This role emphasizes cloud-based deployments, Kubernetes, observability, and cost‐aware performance tuning. You will own reliability, performance, and cost efficiency of the LLM platform end-to-end, manage diverse hosting environments including EKS, SageMaker ...