1 to 25 of 78 Performance Tuning Jobs in the City of London

experience in the banking or financial services domain is highly advantageous. Must have experience with API gateways and mobile app development/modernisation Key Responsibilities: Design and develop high-performance, secure, and scalable backend systems using Java, Spring Boot, and modern architectural patterns. Lead the development of RESTful APIs and microservices, ensuring alignment with mobile platforms and business objectives. … and JWT. Collaborate with mobile application teams to optimize backend services for mobile-specific needs like caching and offline access. Take ownership of end-to-end technical delivery including performance tuning, code quality, security best practices, and CI/CD integration. Conduct code and design reviews, establish technical standards, and mentor engineering team members. Troubleshoot complex issues in … discipline. Significant experience in backend development with solid experience in technical leadership or solution architecture role. Exposure to mobile application development lifecycle, backend-for-frontend (BFF) patterns, and mobile performance optimization. Expert-level proficiency in Java, Spring Boot, and associated Spring modules (MVC, Data, Security). Strong track record in architecting and deploying microservices in enterprise environments. Experience with More ❯

Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best practices. Integration & Automation: Architect and maintain integrations with external … Proven track record of leading development teams and managing large-scale projects. Database Expertise: In-depth experience with PostgreSQL/SQL, including design of complex schemas, writing queries and performance optimisation. Security & Performance: Deep understanding of application security best practices, performance tuning, and scalable architecture. Problem-Solving: Ability to troubleshoot complex technical issues, with a proactive … well-being, and continuous growth, ensuring that you have the support and resources to excel both professionally and personally. Competitive Salary: £50,000 - £65,000 per year, with potential performance-based increases. Performance Bonus: Up to 10% annual bonus. Generous Holiday Allowance: 27 days holiday plus bank holidays. Health Insurance: Private health insurance including dental care, vision, and More ❯

migration experience. This role focuses on supporting enterprise-level systems, with PostgreSQL as the strategic database engine, and requires working collaboratively with development and infrastructure teams to ensure availability, performance, and scalability of data platforms. Key Responsibilities Cloud-Based & On-Prem DB Administration: Administer, configure, and optimize PostgreSQL, MS SQL Server, and Oracle databases hosted in AWS, Azure, and … on-premises. Database Design & Development: Design new schemas, optimize existing structures, and support database components aligned with application needs. Performance Tuning: Monitor and tune query and system performance across PostgreSQL, MS SQL, and Oracle DBs. Identify and resolve performance bottlenecks. Backup & Disaster Recovery: Define and implement robust backup/recovery procedures for multi-DB environments across … and scripting (e.g., Terraform, Ansible, AWS RDS/Aurora tools, Azure SQL automation). Monitoring & Health Checks: Utilize tools such as CloudWatch, Azure Monitor, OEM, or Prometheus to monitor performance and availability. Troubleshooting & Root Cause Analysis: Diagnose and resolve database incidents; conduct RCAs for critical incidents and outages. Collaboration: Work closely with DevOps, Application, and Security teams for seamless More ❯

proactive Solace Messaging Administrator to join our Messaging team. You will be responsible for managing and supporting our enterprise messaging infrastructure built on Solace PubSub+, ensuring high availability, optimal performance, and reliability across production and non-production environments. This includes working on incident response, capacity planning, WAN optimization, and system observability using tools like Prometheus and Grafana . Key … maintain Solace PubSub+ appliances and software brokers across environments (on-prem and cloud). Provide production support for messaging-related incidents, including root cause analysis and resolution. Monitor system performance and health using Prometheus and Grafana ; proactively identify and address anomalies. Configure and optimize Solace across WAN environments , ensuring low-latency, secure, and reliable messaging. Collaborate with development and … application support teams to troubleshoot message flow issues and integration problems. Perform capacity planning , scaling, and tuning of Solace infrastructure to meet current and future demand. Automate routine maintenance tasks and support continuous improvement of operational processes. Implement and maintain monitoring alerts, dashboards, and metrics to ensure visibility into the messaging layer. Ensure compliance with security policies and participate More ❯

in a fastpaced, highly collaborative environment. Key Responsibilities: Design, develop, and maintain scalable web applications using Python and Django Build and optimise backend services, APIs, and database schemas for performance and scalability Work closely with product, design, and DevOps teams to deliver new features and improve existing systems Write clean, well-documented, and testable code Manage and optimise SQL …/PostgreSQL queries, data models, and migrations Ensure high standards of data security, compliance, and performance in financial applications Troubleshoot and debug production issues Participate in code reviews, sprint planning, and technical discussions Requirements: 4+ years of professional experience in Python development Strong expertise in Django framework Solid experience with SQL and/or PostgreSQL, including performance tuning More ❯

similar data-centric role. Strong hands-on expertise with: ServiceNow (data models, integration, reporting) Data Lake architectures (e.g., AWS Lake Formation, Azure Data Lake, etc.) Oracle databases (data structures, performance tuning, migrations) Data Migration tools and best practices Solid knowledge of Elastic Search , indexing strategies, and query optimization. Experience with ETL/ELT tools and data pipeline orchestration. More ❯

closely with business stakeholders to understand requirements and translate them into functional technical designs. Participate in SDLC , including Agile sprints, code reviews, testing, documentation, and deployment. Perform Endur upgrades, performance tuning, and environment support . Troubleshoot and resolve production issues across trading desks and back-office functions. Ensure compliance with industry and internal standards for software quality, security More ❯

improving how we handle, transform and deliver data across the business 🧠 What you bring: 5+ years of hands-on experience with relational databases (500,000+ customers) Strong SQL (including performance tuning) and solid knowledge of database concepts Experience with Microsoft SQL Server (SSIS, SSRS, SSAS) Cloud data knowledge – AWS preferred (but GCP or Azure also welcome) Great communicator More ❯

Messaging Administrator to join a high-performing team powering real-time data flow across enterprise systems. This is a hands-on role with wide scope — covering production support, system tuning, and performance monitoring across cloud and on-prem environments. What You’ll Be Doing: Managing and supporting Solace PubSub+ appliances and software brokers across cloud and on-prem … platforms Responding to production incidents and working on root cause analysis and long-term fixes Monitoring system health and performance with Prometheus, Grafana, and custom dashboards Optimising Solace across WAN environments for secure, low-latency message delivery Partnering with development and support teams to troubleshoot integration and message flow issues Driving capacity planning and performance tuning to More ❯

scalable reporting solutions. Support critical production processes, including daily T+1 and month-end P&L workflows. Stay ahead of database technologies and continuously evaluate new data ingestion methods and performance optimizations. Provide on-call coverage for critical services, particularly in Asian trading hours when required. Train & mentor other developers in data engineering best practices. Requirements Strong programming skills in … modeling, ETL pipelines, and large datasets. 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution. Experience with database performance tuning, query optimization, and data pipeline automation. A deep understanding of financial markets, trading workflows, and risk analytics is highly beneficial. Ability to work independently and within a … small, high-performance team in a fast-paced environment. Master’s in Computer Science, Engineering, or a related quantitative field. My client anticipates to pay a strong performer upwards of £350k year 1 total compensation package. As well as a market-leading compensation package, they offer exceptional benefits including a top-tier healthcare package, fully subsidised qualifications plus breakfast More ❯

latest versions) and guide teams on best practices. Drive adoption of modern architecture principles like Microservices , Event-Driven Architecture , CQRS , and SAGA patterns . Define and enforce coding standards, performance tuning, and best practices. Select appropriate AWS services and design cloud-native architectures with cost, scalability, and security in mind. Conduct design and code reviews to ensure quality … Associate/Professional) is a plus. Experience with Infrastructure as Code (IaC) using Terraform or AWS CDK. Exposure to data streaming platforms like Kafka is a bonus. Background in performance optimization, scalability, and security best practices. Desired Skills: Knowledge of AI and Emerging Technologies (Good to have) Understanding of how AI capabilities can be integrated into enterprise applications to … user experience, decision-making, and automation. Exposure to modern AI application patterns such as: Retrieval-Augmented Generation (RAG) for augmenting LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search) to support semantic search and recommendation systems. Building More ❯

tools and services. AI Feature Integration Collaborate with engineering and product teams to embed AI-driven functionality into user-facing software. Technical Leadership Set standards for MLOps, automation, and performance tuning across the engineering team. Generative AI & LLMs Explore and integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code reviews … ideally AWS) and infrastructure-as-code tools (e.g., Terraform). Understanding of distributed systems, microservices, and modern software architecture. Hands-on experience with LLMs and generative AI models, including tuning and inference. Ability to set up CI/CD pipelines for ML workflows and manage models in a cloud environment. Strong communication and stakeholder engagement skills. A relevant degree More ❯

Develop ETL processes and support the integration of data from core insurance systems Work closely with BI, data architecture, and business teams to shape data structures and pipelines Support performance tuning, indexing, and optimisation across complex datasets Must-have experience: Strong T-SQL development experience with SQL Server Background in the London Markets insurance sector (syndicates, brokers, carriers More ❯

profiles as long as you have strong Solace expertise. You will be responsible for managing and supporting the enterprise messaging infrastructure built on Solace PubSub+, ensuring high availability, optimal performance, and reliability across production and non-production environments. You will be working on incident response, capacity planning, WAN optimization, and system observability so should have experience with tools such … and Grafana . Key Responsibilities: Administer and maintain Solace PubSub+ appliances and software brokers Provide production support for messaging-related incidents, including root cause analysis and resolution. Monitor system performance and health using Prometheus and Grafana ; proactively identify and address anomalies. Configure and optimize Solace across WAN environments , ensuring low-latency, secure, and reliable messaging. Collaborate with development and … application support teams to troubleshoot message flow issues and integration problems. Perform capacity planning , scaling, and tuning of Solace infrastructure to meet current and future demand. Automate routine maintenance tasks and support continuous improvement of operational processes. Implement and maintain monitoring alerts, dashboards, and metrics to ensure visibility into the messaging layer. Ensure compliance with security policies and participate More ❯

most competitive financial markets globally. They foster a culture of innovation, collaboration, and excellence, offering engineers the opportunity to work with the latest technologies in a fast-paced, high-performance environment. Role Overview: We are seeking a highly motivated Linux Engineer with strong experience in compute , performance, storage , and automation. The successful candidate will work closely with infrastructure … expertise within a dynamic and intellectually stimulating environment. Responsibilities: Optimize Linux-based trading infrastructure. Develop and maintain automation tools and scripts using Python and other relevant technologies. Monitor system performance, troubleshoot issues, and ensure high availability of trading systems. Collaborate with software developers, network engineers, and traders to enhance system performance and reliability. Implement and manage configuration management … and deployment automation tools (e.g., Ansible, Terraform, or similar). Work on the performance of Petabyte scale storage systems Research HPC Infrastructure Ensure security best practices are followed in system configurations and deployments. Participate in on-call rotations and respond to incidents in a timely manner. Requirements: 1-8 years of experience as a Linux Engineer, DevOps Engineer, or More ❯

scale time-series datasets to improve model accuracy and stability Collaborate with Data Scientists and DevOps to build end-to-end ML pipelines Contribute to model governance, MLOps, and performance monitoring frameworks Participate in code reviews, design discussions, and performance tuning Requirements: 3+ years of experience in a Machine Learning Engineer or similar role Proficiency in Python More ❯

high-performing KDB+ Developer to join a world-leading investment bank’s Front Office Quantitative Technology team in London . You will design, build, and optimise low-latency, high-performance time-series data systems used for real-time analytics , trading , and decision-making across global markets. This is a critical hire for an elite team driving alpha-generation tools … real-time market data ingestion, processing, and analytics. Collaborate directly with quant traders , quants , and front office technologists to build mission-critical trading systems. Optimise existing KDB+ databases for performance, latency, and storage efficiency . Design and implement solutions for tick data capture , data normalisation , and time-series analysis . Contribute to architectural decisions around data pipelines , streaming platforms … Strong understanding of tick data , time-series databases , and real-time market data . Experience working with global market data feeds (e.g., Bloomberg, Reuters, FIX, Kafka). Proficiency in performance tuning, memory management, and multi-threaded programming in KDB+ . Comfortable working in Agile/DevOps environments, including CI/CD pipelines. Familiarity with Linux systems , scripting (Python More ❯

deploying models Collaborate with data scientists, product teams, and software engineers to integrate ML into production Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying More ❯

tools and services. AI Feature Integration Collaborate with engineering and product teams to embed AI-driven functionality into user-facing software. Technical Leadership Set standards for MLOps, automation, and performance tuning across the engineering team. Generative AI & LLMs Explore and integrate modern techniques such as large language models and generative architectures. Mentorship & Collaboration Support peers through code reviews … ideally AWS) and infrastructure-as-code tools (e.g., Terraform). Understanding of distributed systems, microservices, and modern software architecture. Hands-on experience with LLMs and generative AI models, including tuning and inference. Ability to set up CI/CD pipelines for ML workflows and manage models in a cloud environment. Strong communication and stakeholder engagement skills. A relevant degree More ❯

expertise in supporting and maintaining the Oracle Cloud ERP/EPM application, specifically within the Finance and Procurement domains. This role requires a deep understanding of Oracle Cloud architecture, performance optimisation, integration, security, and operational best practices. The support lead will provide advanced technical support, trouble shoot complex issues, manage a team of support engineers and will work closely … outages, managing communication with internal stakeholders and driving resolution. Participate in post-incident reviews to identify root causes and implement preventative measures. Continuous Improvement: Identify opportunities to improve the performance, stability, and security of the Oracle Cloud environment. Drive the adoption of automation tools and scripts to streamline support processes and improve efficiency. Knowledge Sharing: Maintain comprehensive technical documentation … application development frameworks and tools. Strong troubleshooting and analytical skills, with the ability to diagnose complex technical issues. Proficiency in scripting languages (e.g., SQL and Python). Experience with performance monitoring and tuning tools. Understanding of integration technologies ( OCI ) and APIs (e.g., REST, SOAP). Experience with ITIL processes and change management. Soft Skills Excellent verbal and written More ❯

security. This is a hands-on engineering role, ideal for someone who enjoys solving complex problems, scripting, and working in modern distributed environments. Key Responsibilities Azure & M365 Operations Ensure performance, scalability, and cost-efficiency of Azure/M365 cloud services. Manage provisioning, configuration, and lifecycle of cloud resources. Monitoring & Automation Proactively monitor systems and resolve issues. Implement automation tools … tools like Terraform, PowerShell, or equivalent. Experience with Infrastructure as Code and CI/CD pipelines. Understanding of cloud-native and hybrid-cloud architectures. Knowledge of monitoring, alerting, and performance tuning. Desirable Tools & Tech Docker/Kubernetes DevOps tooling (Azure DevOps, GitHub Actions, etc.) REST APIs, scripting (Python, PowerShell, etc.) Security best practices in cloud environments Nice to Have More ❯

Power BI reports and dashboards using both Direct Query and Import modes. - Integrate Power BI with Databricks and other data sources, ensuring secure and efficient data access. - Optimize the performance of Direct Query reports through advanced query tuning and robust data modeling techniques. - Operate within Power BI Pro licensing constraints (excluding Premium, PPU, and Fabric) while maintaining high … usability and performance standards. - Implement incremental data refresh strategies where applicable, accounting for the limitations of non-date-partitioned datasets. - Navigate complex data models—such as degenerate fact tables with multiple grains—by applying creative solutions to meet reporting needs. - Facilitate the migration of selected reports from Direct Query to Import mode, focusing on refresh efficiency and optimized model … experience in both Direct Query and Import modes. - Strong background in connecting Power BI to Databricks and managing large datasets effectively. - Deep knowledge of query optimization, data modeling, and performance tuning techniques. - Familiarity with incremental refresh mechanisms and their limitations. - Experience working with complex, non-standard data models, including multi-grain fact tables. - Demonstrated success in delivering real More ❯

direction of our AI capabilities. This is a hands-on role for someone who enjoys both deep technical work and cross-functional collaboration—driving forward innovation while ensuring reliability, performance, and business value Responsibilities Architect and implement state-of-the-art machine learning solutions across use cases including intelligent document processing, risk modelling, and asset behaviour analytics Conduct advanced … experimentation and model development, applying deep learning, LLMs, or probabilistic methods as appropriate Build high-performance, production-grade pipelines for data ingestion, feature engineering, model training, and real-time inference Develop and maintain robust APIs and infrastructure for scalable model deployment, monitoring, and versioning Apply rigorous model evaluation, performance tuning, and A/B testing methodologies Continuously … technical expertise in machine learning, including supervised/unsupervised learning, NLP, and/or deep learning Experience with large language models (LLMs), transformers, and modern NLP techniques (e.g., fine-tuning, embeddings, prompt engineering) Proven track record in designing, scaling, and maintaining ML systems in production (cloud-native solutions preferred – e.g., Azure, AWS, GCP) Excellent problem-solving skills and a More ❯

responsible for ensuring production stability across a highly dynamic microservices architecture hosted in Azure . You’ll have end-to-end ownership over reliability tooling, incident response, and system performance—working across teams to scale a truly enterprise-grade platform. Key Responsibilities: Leading on production resilience, observability, and incident frameworks. Building SLIs/SLOs and advocating for best practices … Infrastructure as Code (Terraform, Bicep). Ability to lead technical conversations across Engineering and Product. Bonus points if you bring: Experience in fintech, crypto, or regulated digital infrastructure RDBMS performance tuning (MS SQL) Knowledge of SLAs/SLOs/chaos engineering and platform risk management More ❯

how in deploying and maintaining Azure Kubernetes Service (AKS) clusters Skilled in scripting and automation using Powershell , including module creation and systems orchestration Deep familiarity with Windows Server environments, performance tuning, and patching best practices 🔹 Bonus Skills Understanding of Azure DevOps and CI/CD workflows Experience with monitoring tools and observability strategies Exposure to security best practices More ❯