1 to 25 of 93 Performance Optimisation Jobs in the City of London

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 and … 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 ❯

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 and … 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 More ❯

solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as More ❯

You’ll work closely with engineering managers, architects, mobile teams, and product stakeholders to deliver scalable, secure, and maintainable solutions. Key Responsibilities: • Design and develop scalable, secure, and high-performance backend systems using Java, Spring Boot, and modern architectural practices. • Lead development of RESTful APIs and microservices along with mobile platforms, ensuring consistency and alignment with business and UX … Identity, Okta, or Auth0, with support for OAuth2, OIDC, and JWT. • Collaborate with mobile app teams to ensure backend services are optimized for mobile-specific use cases such as performance, caching, and offline access. • Own end-to-end technical delivery, including code quality, performance optimization, security best practices, and CI/CD integration. • Perform code and design reviews … tooling (GitHub Actions, Jenkins, GitLab CI). • Excellent communication, collaboration, and technical documentation skills. Preferred Qualifications: • Exposure to mobile application development lifecycle, backend-for-frontend (BFF) patterns, and mobile performance optimization. • Experience with NoSQL databases (e.g., MongoDB, Cassandra). • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). • Knowledge of event-driven or reactive architectures, messaging More ❯

engineering leadership. What the Engineering Lead will be doing Leading, coaching and developing a squad of engineers working on a core Rules Engine product. Driving team delivery, ensuring high performance, scalability, and maintainability of software systems while guiding systems design decisions. Supporting and mentoring engineers in their career growth, goal setting, and performance. Partnering closely with product management to …/CD, Agile product delivery Bonus Points For Experience leading cloud-based SaaS product teams. Exposure to highly regulated or data-sensitive industries (e.g. finance, insurance). Familiarity with performance optimisation and cost control in AWS environments. Understanding of underwriting or insurance systems. This is an amazing opportunity to lead a talented team in an ambitious tech company More ❯

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 both … 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 ❯

engineering leadership. What the Engineering Manager will be doing Leading, coaching and developing a squad of engineers working on a core Rules Engine product. Driving team delivery, ensuring high performance, scalability, and maintainability of software systems while guiding systems design decisions. Supporting and mentoring engineers in their career growth, goal setting, and performance. Partnering closely with product management to …/CD, Agile product delivery Bonus Points For Experience leading cloud-based SaaS product teams. Exposure to highly regulated or data-sensitive industries (e.g. finance, insurance). Familiarity with performance optimisation and cost control in AWS environments. Understanding of underwriting or insurance systems. This is an amazing opportunity to lead a talented team in an ambitious tech company More ❯

quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and … real-time data analysis. Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data. Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers. Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate … years of professional experience in Python development, with a focus on building performant, scalable systems. Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL More ❯

networking experience across DNS, routing, load balancers, and firewalls. Skilled with enterprise‐level deployments across microservices and multi‐server environments. Experience with MLOps platforms (ideally Azure), database maintenance, and performance optimization. Familiarity with ITIL or ISO27001. Ability to review CVs and participate in the recruitment process. Azure certification to Architecture or DevOps Solutions level (or equivalent experience) is highly More ❯

solutions, and migration strategies to support Paymentology's business objectives. This role involves assessing existing IT infrastructure, identifying opportunities for cloud adoption, and recommending migration strategies based on cost, performance, and security considerations. The Cloud Architect defines cloud architecture principles, standards, and best practices, ensuring compliance with industry standards and regulatory requirements. This role designs scalable, resilient, and highly … available cloud infrastructure solutions using Infrastructure as Code (IaC) tools and automation techniques. Additionally, the role includes implementing cloud security measures, optimising resource utilisation and performance, and supporting the implementation of cloud-based solutions across AWS, Azure, and OCI platforms. What you get to do: Cloud Design and Development: Lead the design and development of Google Cloud Platform (GCP … GKE (Google Kubernetes) Design and optimise GCP Implement Identity and Access Management (IAM) and Security Policies Work with Google Anthos, Kubernetes, and container-based architectures Optimise GCP cost and performance , ensuring efficiency across environments (Optional) Provide expertise in AWS, Azure, and OCI when needed Kafka and Kubernetes Platform Management: Design, deploy, and maintain scalable Kafka and Kubernetes clusters to More ❯

latest tools in Machine Learning, Data Science and Automation tools? A mid-level Java Developer is required to join an innovative and rapidly growing scale-up dedicated to optimizing performance for their clients using cutting-edge automation tools, Data Science and machine learning technologies. Their mission is to revolutionize how businesses operate by delivering high-performance solutions that … talented and experienced Full-stack Java Developer to join our team. As a Full-stack Java Developer, you will play a crucial role in designing, developing, and maintaining high-performance applications that leverage the latest in automation and machine learning. Qualifications: Experience: 3+ years of professional experience as a Fullstack Java Developer. Education: Bachelors degree in Computer Science, Engineering … and responsive user interfaces using modern JavaScript frameworks/libraries (e.g., React, Angular, Vue.js). Backend Development: Implement server-side logic, database schemas, and APIs to support frontend functionality. Performance Optimization: Identify performance bottlenecks and implement solutions to optimize application performance. Automation and ML Integration: Integrate automation tools and machine learning models to enhance the functionality and performance More ❯

reporting system to Azure Databricks, ensuring a smooth transition. Design and implement new, scalable reporting solutions using PySpark, SQL, and Databricks visualization tools. Optimize data processing pipelines to enhance performance, reliability, and efficiency of regulatory reports. Optimize PySpark performance to handle large-scale financial data processing for regulatory reporting. Improve SQL query execution to ensure fast, efficient report … reporting processes to reduce manual intervention and enhance accuracy. Work with DevOps teams to ensure seamless Azure Databricks integration into the existing infrastructure. Skills Must have Databricks Concepts Databricks performance optimizations ACID properties of RDMS Python, PySpark SQL Concepts Databricks Queries and Visualization Exposure to CI/CD DevOps Pipelines Nice to have Azure Data Services ETL & Data Processing More ❯

and a solid foundation in DevOps tools such as Jenkins, Ansible, and HashiCorp Vault. The ideal candidate will be responsible for designing, developing, and maintaining scalable, secure, and high-performance web applications. Key Responsibilities: Develop, test, and maintain scalable web applications using Node.js , Python , and Angular 16+ . Write clean, efficient, and well-documented code in TypeScript and JavaScript. … for secrets management and security. Familiarity with containerization (Docker) and orchestration tools (Kubernetes) is a plus. Excellent debugging and problem-solving skills. Strong understanding of web application security and performance optimization. More ❯

deployment strategies. Design the integration architecture , including APIs, microservices, and third-party integrations. Technical Leadership: Guide engineering teams in implementing the architecture while ensuring best practices in software design, performance, and security. Define technology choices and architectural patterns to support the product roadmap. Conduct architecture reviews to ensure compliance with design principles and performance benchmarks. Scalability, Security & Cloud … architecture, micor forntend , event-driven architecture, and API-first design . Cloud Platforms: Deep knowledge of key cloud players AWS, Azure, and GCP , ensuring cloud-agnostic design principles. Scalability & Performance Optimization: Expertise in designing scalable, distributed, and high-availability systems. DevOps & CI/CD: Knowledge of Kubernetes, Docker, Terraform, Ansible , and other infrastructure automation tools. Security & Compliance: Understanding of More ❯

planning and design to deployment and ongoing support. Cross-Functional Collaboration : Work closely with other engineers and cross-functional stakeholders (e.g., product and design) to integrate new features smoothly. Performance Optimization : Monitor, evaluate, and improve application performance, scalability, and security. Code Quality & Standards : Establish and uphold coding standards, documentation, and best practices. Rapid Prototyping : Prototype new features quickly More ❯

networking experience across DNS, routing, load balancers, and firewalls. Skilled with enterprise‐level deployments across microservices and multi‐server environments. Experience with MLOps platforms (ideally Azure), database maintenance, and performance optimization. Familiarity with ITIL or ISO27001. Ability to review CVs and participate in the recruitment process. Azure certification to Architecture or DevOps Solutions level (or equivalent experience) is highly More ❯

networking experience across DNS, routing, load balancers, and firewalls. Skilled with enterprise‐level deployments across microservices and multi‐server environments. Experience with MLOps platforms (ideally Azure), database maintenance, and performance optimization. Familiarity with ITIL or ISO27001. Ability to review CVs and participate in the recruitment process. Azure certification to Architecture or DevOps Solutions level (or equivalent experience) is highly More ❯

into robust technical solutions, delivery plans, and architectural designs Build and maintain highly automated, scalable data pipelines using modern cloud-based tools Identify and resolve data quality and pipeline performance issues to ensure stability and integrity Contribute to the design and deployment of data lakes, warehouses, and streaming architectures Participate in mentoring and upskilling junior team members, supporting a … high-performance, inclusive team culture Continuously look for opportunities to improve delivery methods, introduce new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure … client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role interests you and you would like to find out more (or find out More ❯

plus) Implementing Infrastructure as Code (Terraform) Supporting deployments of PHP/Laravel applications in high-concurrency environments Working with Docker, Kubernetes, ECS or EKS Automating development workflows and driving performance optimisations Building out monitoring solutions, cost management strategies, and SOC2-compliant processes 🧠 Skills & Experience Needed 5+ years in a DevOps-focused role Strong cloud background (AWS) Proficiency in Terraform … Docker, Python or Bash scripting Solid experience with infrastructure performance, security, and scaling - SOC2/ISO compliance within DevOps workflows Comfortable in high-availability, fast-paced environments Experience deploying and scaling in PHP If you're passionate about automation, performance, and scalable systems and love solving problems with a proactive, product-first mindset I’d love to hear More ❯

legacy applications and infrastructure to cloud. Cloud Administration & Management : Administer and manage cloud services, and others to optimize cloud infrastructure. Oversee the monitoring and maintenance of cloud environments, including performance optimization, backup and disaster recovery, and compliance with internal policies. Security & Compliance : Implement security best practices, such as identity and access management (IAM), network security, encryption, and compliance with … as Code (IaC) using tools to automate infrastructure provisioning and management. Collaborate with DevOps teams to integrate cloud infrastructure with continuous integration and continuous deployment (CI/CD) pipelines. Performance Monitoring & Optimization : Implement and configure monitoring tools to track the health and performance of cloud services. Stakeholder Engagement : Work closely with development, operations, and security teams to align … into cloud architecture solutions. Documentation & Reporting : Maintain clear and comprehensive documentation of cloud architecture, configurations, policies, and procedures. Provide regular status reports on cloud infrastructure health, issues, improvements, and performance metrics to senior management What you need : Key Skills & Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Relevant cloud certifications (e.g., AWS More ❯

Data Engineer Bond street 70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company’s success. There are opportunities for professional development, such as training programs, certifications, and career advancement paths. KEY RESPONSIBILITIES Design, develop, and maintain scalable data pipelines SQL, Azure ADF, Azure More ❯

can blend deep technical expertise with strong client-facing skills. You’ll lead the design and delivery of modern data architectures using Databricks on AWS or Azure , developing high-performance pipelines and helping businesses unlock the power of their data. What You’ll Do Design and build modern data solutions using Databricks on the cloud ☁️ Create scalable pipelines in … the forefront of data engineering and AI trends What We’re Looking For 6+ years of hands-on experience in data engineering Proven expertise in Databricks (deployment, pipeline development, performance optimisation) Strong coding skills in Python and SQL Solid experience with AWS or Azure Familiarity with DevOps practices (CI/CD, Infrastructure as Code) Confident in technical solution More ❯

and transformational delivery. Key Responsibilities Lead the planning and execution of database modernisation, conversion, and migration activities, ensuring alignment with project timelines and deliverables. Oversee database architecture assessments and performance optimisation efforts. Collaborate with development and architecture teams to improve data flow and streamline database operations. Conduct thorough testing and validation of migrated data to ensure completeness and More ❯

integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible … and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in More ❯

Role Purpose: Lead and scale a high-performing engineering team focused on product development and innovation. Drive cultural change and engineering excellence across the UK engineering team. Set clear performance goals, foster an inclusive team culture, and drive the team to maintain high standards of technical quality and operational efficiency. Align the engineering roadmap with business goals and help … environments and transitioning on-premise products to the cloud. Exceptional leadership and interpersonal skills with experience managing and developing diverse engineering teams. In-depth knowledge of security, scalability, and performance optimization within engineering solutions. Strong decision-making and problem-solving skills, particularly under pressure. If you're a seasoned engineering leader with a background in software engineering and product More ❯