18 of 18 Performance Tuning Jobs in Scotland

pipelines using Python and SQL Designing and maintaining data models to support analytics, reporting and data science Working with cloud data platforms to optimise performance, data structures and compute costs Implementing data quality checks, automated testing and monitoring Developing and maintaining CI/CD pipelines and applying software engineering … building data models, tests, incremental models and transformations would be advantageous. Python - data engineering, automation, ingestion and pipeline development SQL - including query optimisation and performance tuning Git and CI/CD - with experience working in a modern software engineering environment Data warehousing and data modelling principles Building ...

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 ...

Human Resources, Compliance, and Legal. You will contribute to architecture and design discussions, translate requirements into robust technical solutions, and ensure implementations meet the performance, security, and scalability demands of a large, regulated financial institution. Your work will directly strengthen the firm's technology controls agenda and support … outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Experience with observability and production support practices, including monitoring, logging, alerting, performance tuning, and structured incident and problem management in enterprise systems Exposure to cloud-native patterns, containerization, and platform modernization approaches Experience partnering closely ...

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 ...

work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and securityUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency … formal training or certification in software engineering concepts beyond foundational levelExposure to AI tools and technologies for software development and engineering workflowsExperience with Spark performance tuning for complex calculations on large datasetsExperience delivering production changes to complex software using Scala and SparkIf you’re ready to lead, innovate ...

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 ...

software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency … safe, compliant adoption within delivery practicesPreferred qualifications, capabilities, and skillsExposure to frontend libraries such as ag-grid, highcharts, redux as well as TypescriptExposure to performance tuning complex UI’s would be advantageous.Working within Investment Bank/Finance TechnologyTeam leading experienceJ.P. Morgan is a global leader in financial services ...

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 ...

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.P. Morgan is a global leader ...

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 ...