19 of 19 Performance Tuning Jobs in Scotland

scaling of Snowflake, Postgres, and Greenplum database platforms globally for over 10,000 end-users. The role focuses on modernizing, automating, and optimizing performance across a hybrid cloud infrastructure spanning AWS and Azure. Key Responsibilities Design, implement, and manage large‐scale distributed database systems using Snowflake and Postgres Lead … maintain automation frameworks for provisioning, monitoring, and scaling database infrastructure Collaborate with data engineering, platform, and application teams to ensure high availability, security, and performance Drive adoption of best practices for schema design, query optimization, and data lifecycle management Implement robust backup, disaster recovery, and compliance strategies Mentor junior ...

responsibilities Author and optimize queries for performance and correctness. Monitor and tune database performance, including query tuning, indexing, partitioning, and caching. Build and maintain monitoring, alerting, and observability for database systems. Support production incidents and perform root cause analysis; participate in on-call rotations. Assist application teams … functions, aggregates, subqueries, and explain/analyze plans. Experience with at least one major RDBMS: PostgreSQL, MySQL/MariaDB, Microsoft SQL Server, or Oracle. Performance tuning experience, including indexing strategies, query profiling, and execution plan interpretation. Experience with monitoring and observability tooling such as Prometheus, Grafana, Datadog, Dynatrace ...

based applications Collaborate with stakeholders to define technical requirements and project goals Mentor and support engineers, fostering growth and knowledge sharing Drive code quality, performance, and security standards across projects Implement best practices in software engineering and agile methodologies Troubleshoot and resolve complex technical issues Review code and provide … platforms and containerization Apply familiarity with DevOps practices and CI/CD pipelines Utilize knowledge of front-end technologies and frameworks Demonstrate expertise in performance tuning and optimization Leverage experience with database technologies (SQL and NoSQL) Use understanding of distributed systems and scalability Apply experience in mentoring ...

e.g., Kafka, AMPS) for reliable distributed communication. Database architecture: Architect relational and NoSQL data stores (e.g., Oracle/RDS, MongoDB/DynamoDB) for integrity, performance, and growth. Technical oversight: Guide teams on architectural adoption, engineering excellence, and code quality across core languages and platforms. Governance: Establish documentation, review processes … code review in both languages. Strong experience with relational databases (e.g., Oracle, Amazon RDS) and NoSQL databases (e.g., MongoDB, AWS DynamoDB), including schema design, performance tuning, and data modeling. Experience managing and coordinating technology initiatives across multiple regions and applications. Expertise with data architecture and event driven architecture. ...

e.g., cloud, artificial intelligence, machine learning, mobile) Ability to solve data‐oriented problems using technologies such as SQL, Relational DB, Spark, NoSQL, optimizing for performance Preferred Qualifications, Capabilities, and Skills Experience with Spark performance tuning of complex calculations on large datasets Experience delivering production changes to complex ...

improvement within a collaborative environment. The Role • Developing and supporting Oracle and SQL Server databases and applications• Providing Oracle Database Administration (DBA) support, including performance tuning and optimisation• Designing and delivering database solutions using PL/SQL and SQL• Supporting the development of a new enterprise data warehouse ...

cloud‐native deployments Cloud platforms including AWS, Azure or GCP CI/CD pipelines and DevOps practices Observability, monitoring and distributed tracing JVM performance tuning and concurrency Automated testing strategies across all testing layers Build tooling including Maven or Gradle Experience with reactive programming, WebFlux or platform engineering ...

Collaborate with cloud, security, DevOps, and application teams to ensure successful platform integration and deployment. Troubleshoot and resolve complex API gateway, networking, security, and performance-related issues. Implement and enforce security standards including authentication, authorization, encryption, and API protection policies. Drive performance tuning, monitoring, scalability planning ...

role across the delivery lifecycle, including: Configuring and developing solutions based on agreed designs and requirements Working with data to query, manipulate and optimise performance Supporting build activities alongside more senior developers or build leads Carrying out unit testing and end-to-end testing Investigating and resolving defects identified … full lifecycle, not just isolated development tasks What they're looking for Good hands-on understanding of SQL (data querying, manipulation, and ideally performance tuning) Ability to deliver code and configurations in line with requirements, standards and deadlines Ideally some skills across reporting tools such as Power ...

Capabilities, and Skills Additional formal training or certification in software engineering concepts. Exposure to AI tools and technologies for software development. Experience with Spark performance tuning for complex calculations on large datasets. Experience delivering production changes to complex software using Scala and Spark. If you’re ready ...

authentication services, and security frameworks. Configuration & Administration Configure Alation platform settings, user roles, permissions, workflows, stewardship, and governance features. Perform platform administration, monitoring, troubleshooting, performance tuning, and regular maintenance activities. Data Source Onboarding & Metadata Hydration Connect and onboard databases, data warehouses, BI tools, data lakes, and other enterprise ...

Proven track record in Software Development in a similar role Demonstrable strong skills across SQL including areas such as data querying, manipulation and performance tuning Hands-on SSRS skills Strong skills across unit, end-to-end, and acceptance testing Ability to lead on technical projects and liaise with ...

development of real‐time, mission‐critical trading platforms using Java Tackle large‐scale engineering challenges with technologies like Kafka Innovate, troubleshoot, and optimize for performance and stability Inspire and foster a culture of creativity, inclusion, and technical excellence Collaborate with stakeholders to deliver impactful solutions Drive system design, application … certification in software engineering concepts Experience developing event‐driven and batch Java applications in financial services Proficiency in Java/Spring, data structures, and performance tuning Solid experience with Kafka Proficiency in testing and debugging low latency applications Hands‐on experience in system design, application development, testing ...

reusable RESTful APIs Preferred qualifications, capabilities, and skills Exposure to frontend libraries such as ag-grid, highcharts, redux as well as Typescript Exposure to performance tuning complex UI’s would be advantageous. Working within Investment Bank/Finance Technology Team leading experience #J-18808-Ljbffr ...

Systems Research Engineer position: Architect and implement distributed system components for AI workloads across CPU, GPU, and NPU clusters. Conduct in-depth profiling and performance tuning of inference pipelines, focusing on KV cache management. Develop low-latency, fault-tolerant AI serving frameworks using vLLM, Ray Serve, and PyTorch … publications in top-tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this ...

Reliability Engineer you should have: Experience on Lunix/Unix, Java Applications, Oracle, SQL (PLQSP/MySQL) and RDBMS with exposure to writing queries, tuning concepts, data analysis etc. Experience of at least two of the Middleware technologies amongst JBOSS Apache Tomcat, Glassfish. Experience of Cloud technologies, AWS, OpenShift … automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them. Accountabilities Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning. Resolution, analysis and response to system outages and disruptions, and implement ...

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 ...

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 Senior … 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 large language model inference platform end to end. You will operate large language model serving stacks in production at scale ...

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 ...