126 to 150 of 553 Remote Performance Tuning Jobs

the design and development of scalable systems, with opportunities to explore machine learning, AI-driven categorisation models, and vector search. What You’ll Be Doing Design and build high-performance data pipelines and search capabilities. Develop solutions using Apache Lucene, Solr, or Elasticsearch. Implement scalable, test-driven code in Java and Python. Work collaboratively with Business Analysts, Data Engineers …/TypeScript front end to Java-based backend services. Leverage cloud infrastructure including Azure Data Factory, Batch Services, and Azure SQL. Participate in code reviews, DevOps practices, and system performance tuning. Current Projects The team is focused on enhancing how supplier catalogue data supports next-generation search features—helping users discover the right products more efficiently. This year’s More ❯

of coding in a front-end capacity (preferably JavaScript and React). Container-related tools – e.g., Docker, Docker Compose. Databases – e.g., SQL, PostgreSQL. RESTful API development and management. Proactive Performance Tuning. Solid understanding of design patterns and relevant implementation models. Solid understanding of DevOps tooling, GitLab, CI/CD, Jenkins, build pipelines and source control systems. Working knowledge of … makes life better for millions wasn’t rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include: Annual performance based bonus, up to 10% 25 days annual leave, plus eight bank holidays Up to 8% pension contribution Financial support and time off for study relevant to your role More ❯

Manage and optimise CI/CD pipelines using tools like TeamCity, Jenkins, GitLab CI/CD, Nexus, and Nolio . Administer Linux and Windows infrastructure , including Load Balancers and performance tuning. Apply Git workflows and repository management strategies to enable seamless version control. Leverage your SQL skills to automate data-related processes like data migrations and environment setup. ✅ Preferred More ❯

excellence but also the seasoned judgment and leadership that comes from years of hands-on experience. Key Responsibilities: * Administer, monitor, and maintain SQL Server databases across multiple environments. * Perform performance tuning, query optimisation, and database health checks. * Manage database backup, recovery, and disaster recovery planning. * Apply patches and updates to maintain security, performance, and stability. * Ensure data … expert (SME) for all SQL DBA-related matters. Skills & Experience Required: * Extensive experience as a SQL DBA within a complex enterprise environment. * Strong knowledge of core DBA activities including performance tuning, backup/restore strategies, patch management, and data integrity assurance. * Experience working with cloud platforms - especially Azure and/or AWS (equivalent to Azure Administrator level experience More ❯

database infrastructure that underpins the entire Engine technology platform. We are also on the lookout for Data Engineers. The ideal candidate will have experience with: Database design and architecture Performance tuning Backup and recovery Security Cloud database infrastructure management on AWS/GCP using Infrastructure as Code Managing large database environments, preferably with Postgres Monitoring and alerting A … proven track record of working closely with software engineers You will Monitor and optimise the performance of our ever growing PostgreSQL database estate by working closely with our technology teams to understand the workloads Keep our database estate up to date - both from a vulnerability management and supported Postgres version point of view Managing and monitoring data replication Lead … and PCI-DSS Additional qualifications: An aptitude for thinking out of the box Experience with AWS, GCP or other cloud environments Understanding of database monitoring, analysis, disaster recovery and performance tuning Proven experience working as a DBA from a performance tuning and optimisation perspective Built and deployed PostgreSQL clusters into production (would consider Oracle/MySQL More ❯

/CD pipelines/Java, GIT Lab, Service first, JIRA, Confluence, Windows, TWS, MQ, and KAFKA. Knowledge of Payments messaging formats (SWIFT, MX, ISO 20022 etc). Participate in Performance Tuning, database modelling to handle large data sets effectively. Should be able to work in 100% Agile Software Development Life Cycle under sprint delivery timelines. Work experience in 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 ❯

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 ❯

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 ❯

Experience: 5+ years of experience in database and data management Experience with the following: Oracle 18c or higher incl Oracle RAC Strong Oracle SQL, PL/SQL, and query performance tuning Strong front end Scripting experience, JavaScript Strong HTML, CSS, AJAX and JSON experience Experience with Law Enforcement Data (major plus) Experience with Linux based systems hosting Oracle … include hands-on solutions development and implementation experience Ability to translate technical issues into understandable business language for end users Ability to establish and document new standards for quality, performance or productivity Certification Requirement: CompTIA Security+ CE (Current DoD 8570 - IAT Level II) Education: BS degree. Additional 4 years of experience may be considered in lieu of degree CompTIA More ❯

Tomcat, CI/CD pipelines, Java, GIT Lab, ServiceNow, JIRA, Confluence, Windows, TWS, MQ, and KAFKA. Knowledge of payments messaging formats (SWIFT, MX, ISO 20022, etc.). Participate in performance tuning and database modeling to handle large data sets effectively. Work in a 100% Agile Software Development Life Cycle under sprint delivery timelines. Experience in enterprise applications related More ❯

Develop and maintain scalable data pipelines and integration solutions using modern cloud technologies. Identify opportunities for reuse of data flows across projects and teams. Ensure data quality, integrity, and performance optimisation throughout the data lifecycle. Design and manage metadata repositories, supporting metadata-driven ETL frameworks. Systems Integration: Ensure seamless integration between multiple data platforms and business systems. Troubleshoot and … personality with a collaborative, proactive approach. Familiarity with additional database technologies such as Oracle, Cosmos DB, and MySQL Experience with BI/reporting tools like QlikSense and Tableau Database performance tuning, query optimisation, and diagnostics Cloud infrastructure knowledge (Google Cloud, AWS) Data migration projects, particularly high-performance stored procedures What They’re Looking For This role is More ❯

using DBT (core/cloud). Strong Python programming skills for automation and data processing. Leverage Python to create automation scripts and optimize data processing tasks. Proficiency in SQL performance tuning and query optimization techniques using Snowflake. Troubleshoot and optimize DBT models and Snowflake performance. Knowledge of CI/CD and version control (Git) tools. Experience with orchestration 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 ❯

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 Bachelor's 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 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 ❯

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 ❯

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 ❯

to progress their existing skills with a leading Oracle Platinum Partner working with cutting edge technologies. Qualifications Experience implementing and supporting Oracle Database environments from versions 11g upwards Excellent performance tuning and optimization skills are essential. Oracle Fusion Middleware (WebLogic) with Oracle Forms and Reports required Experience in migrating to Oracle OCI and AWS RDS desirable Knowledge of … for migrations to be conducted. Full migration lifecycle activities including, but not limited to detailed analysis, design, development, test, user acceptance test support and production implementation. Identifying and correcting performance issues, reviewing systems and error logs, storage management, backups, job monitoring, optimization efforts, data integrity analysis and resolving database contention issues. Experience with third party backup and monitoring tools. … Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with More ❯

of customized products. Collaborate with engineering team and product team to establish best products Follow outlined standards of quality related to code and systems Develop automated tests and conduct performance tuning Qualifications Bachelor's degree in Computer Science or relevant field 5+ years of experience working with .NET or relevant experiences Experience with integration- Azure, DevOps, Microservices C More ❯

CD & Automation: Promote CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and automation for reliable delivery. Collaboration: Work with DevOps, engineering, product management, and stakeholders to align strategies. Performance & Cost Optimisation: Drive performance tuning, cost management, and resource optimisation. Risk Management: Identify and mitigate technical risks. Documentation & Standards: Maintain architectural standards, design patterns, and documentation. The More ❯

applications in a software product development environment Strong commercial experience with: .Net and C#, Asp.Net, MVC, JavaScript or JavaScript Web Frameworks (e.g. Angular). Expert in designing, developing and performance tuning in enterprise-scale databases using Microsoft SQL Server Proficiency with the Microsoft Visual Studio IDE and the use of Azure DevOps or Jira 2+ years of practical More ❯

efficiency practices to help us and the business succeed. Job Description: We're looking for an experienced Senior Support Specialist to play a key role in ensuring the stability, performance, and reliability of our Big Data Platform. The successful candidate will have deep technical expertise in big data technologies and a strong track record of resolving complex technical issues. … various components and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka. Experienced in Linux Very good knowledge on analyzing the bottlenecks on the cluster - performance tuning, effective resource usage, capacity planning, investigating. Perform daily performance monitoring of the cluster - Implement best practices, ensure cluster staility and create/analyze performance metrics. … receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and More ❯