2,176 to 2,200 of 7,198 AWS Jobs in the UK

/mid-level engineers and act as a technical point of contact across teams. Skills, knowledge and expertise or Hands-on cloud security experience — AWS, Azure, or GCP. Either: Advanced Splunk (SPL); YARA, and EDR detection logic. Experience with Cribl, Kinesis, S3, Amazon Security Lake, and OCSF/data normalisation. ...

with global delivery footprint With 3,800+ people and revenues exceeding €347m/£302m , our client is a market leader in Oracle, Microsoft, and AWS consulting services and one of the fastest-growing digital consultancies in Europe. Job Description Senior Oracle Cloud Technical Consultant YOU MUST BE SC CLEARED ...

with global delivery footprint With 3,800+ people and revenues exceeding €347m/£302m , Version 1 is a market leader in Oracle, Microsoft, and AWS consulting services – and one of the fastest-growing digital consultancies in Europe. Senior Oracle Cloud Technical Consultant YOU MUST BE SC CLEARED OR ELIGIBLE ...

artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, and Skills: Familiar with modern front-end technologies and frameworks Exposure to cloud technologies, especially AWS (Amplify, S3, Lambda) Experience with front-end build tools and bundlers (Webpack, Babel, npm, Yarn) Experience with testing frameworks and tools (Jest, React Testing Library ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

platform. You will intelligently help route, collate, filter, and normalise logs, ensuring data is tagged as soon as possible and enriched at the edge. AWS Cloud Telemetry Integrity: Support the end-to-end flow of AWS security telemetry (CloudTrail management and data events, VPC Flow Logs, GuardDuty findings, EKS/… scores to ensure high‐fidelity alerting. Required Technical Skills & Experience Technical Core Cloud Platforms: Proven hand‐on experience designing and securing cloud infrastructures within AWS, and ideally with Azure and Google Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols ...

platform. You will intelligently help route, collate, filter, and normalise logs, ensuring data is tagged as soon as possible and enriched at the edge. AWS Cloud Telemetry Integrity: Support the end-to-end flow of AWS security telemetry (CloudTrail management and data events, VPC Flow Logs, GuardDuty findings, EKS/… scores to ensure high‐fidelity alerting. Required Technical Skills & Experience Technical Core Cloud Platforms: Proven hand‐on experience designing and securing cloud infrastructures within AWS, and ideally with Azure and Google Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols ...

platform. You will intelligently help route, collate, filter, and normalise logs, ensuring data is tagged as soon as possible and enriched at the edge. AWS Cloud Telemetry Integrity: Support the end-to-end flow of AWS security telemetry (CloudTrail management and data events, VPC Flow Logs, GuardDuty findings, EKS/… scores to ensure high‐fidelity alerting. Required Technical Skills & Experience Technical Core Cloud Platforms: Proven hand‐on experience designing and securing cloud infrastructures within AWS, and ideally with Azure and Google Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols ...

providing support and line management to data engineers on your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core ...

handling high-frequency data updates in UI applications Strong understanding of application profiling and tuning techniques Knowledge of AI integration or cloud technologies, especially AWS Experience working in fast‐paced, agile environments within financial services About the Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking ...

HTTP, REST, TCP/IP). Familiar with version control tools (e.g. Git, SVN). Familiar with UML, OOP, and design patterns. Familiar with AWS services and/or GCP. Proficiency with distributed caching and message‐oriented middleware (e.g., Kafka). Experience with Docker and Kubernetes. Experience running experiments ...

Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively. Cloud expertise - Knowledge of cloud platforms (e.g. AWS, GCP, Azure) and tools for data analytics or data science, and experience with data modelling and data management Collaborative team player– Collaborate with cross-functional ...

Experience with RxJS and state management (e.g., NgRx) Experience integrating with REST APIs Understanding of .NET back-end environments Experience working with AWS-hosted applications Proficient with Git and GitHub (PRs, branching, code reviews) Experience with CI/CD pipelines and automated testing Desirable Experience with C# Experience with … Tailwind framework Knowledge of AWS services (e.g., S3, CloudFront, Lambda, API Gateway) Experience of the Vitest testing framework Enterprise or large-scale application experience Personal Attributes Strong critical thinking and proactive problem solving skills Clear and confident communicator, both written and verbal Composed and resilient under pressure Attention to detail ...

Lakehouse Engineer to join our team on a hybrid contract basis. This role focuses on designing, building, and optimizing modern data lakehouse architectures using AWS-native services and open table formats like Apache Iceberg. You will play a key role in enabling scalable, secure, and high-performance data platforms.Key Responsibilities … Design and implement scalable AWS Data Lakehouse solutions Develop and maintain data pipelines using Python and PySpark Work with AWS services including: S3, EMR, Lambda, IAM, EKS, MWAA Build and manage Apache Iceberg tables for efficient data storage and querying Implement CI/CD pipelines for data platform deployments ...

facing deliverables Working with large and complex datasets, ideally in structured databases and distributed systems like Databricks Cloud-based platforms such as Microsoft Azure, AWS or Google Cloud Experience in some of the following areas would also be beneficial: Generative AI and machine learning concepts and applications Structured and unstructured ...

deep understanding of a customers needs and guide them to a technical solution using Twilio Communications products Knowledge of public cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architectures Experience writing code in one or more of the following areas, multiple areas of experience would ...

them, for example by connecting them to a client’s own information Working knowledge of at least one major cloud provider (Microsoft Azure, Amazon Web Services or Google Cloud) A practical view of what it takes to move from proof of concept to live: testing, security, monitoring, support and cost ...

them, for example by connecting them to a client’s own information Working knowledge of at least one major cloud provider (Microsoft Azure, Amazon Web Services or Google Cloud) A practical view of what it takes to move from proof of concept to live: testing, security, monitoring, support and cost ...

handling high-frequency data updates in UI applications Strong understanding of application profiling and tuning techniques Knowledge of AI integration or cloud technologies, especially AWS Experience working in fast-paced, agile environments within financial services #J-18808-Ljbffr ...

user need. We prefer short feedback loops to polished first attempts. We build the smallest thing that works. Stack: Python (Flask), Postgres, Celery and AWS (ECS, Lambda, SQS) on the backend; React and TypeScript across web and mobile; GitHub Actions for CI/CD. Experience with our stack helps ...

related field Required skills and experience 5+ years of hands‐on technical experience in SRE, Platform Engineering, Infrastructure, or related roles Strong experience with AWS (or Azure), including services such as EKS, ECS, EC2, networking, IAM, and managed services Solid understanding of cloud security principles and experience collaborating with security ...

Bring: Proficient, hands-on GCP Architecture experience across Shared VPC, Compute, GKE, and Cloud Run - GCP Architect Professional certified; must be GCP-first, not AWS-only Expert-level Terraform/Infrastructure as Code experience, covering org hierarchy, folders, projects, IAM policies, and networking Expert-level CI/CD pipeline engineering … changes and handing services to operations Strong working experience of advanced GCP networking constructs (VPC Service Controls, Network Connectivity Center, Private Service Connect) desirable AWS experience alongside GCP desirable, given the wider estate is mainly AWS Experience with GCP Data & Analytics and/or AI/ML services (BigQuery, Vertex ...