1,101 to 1,125 of 3,956 AWS Jobs in London

strategic risk reduction rather than just individual remediation.RequirementsRequirementsStrong engineering and automation background with a keen interest in Vulnerability ManagementStrong technical knowledge, including:Cloud Experience (AWS, GCP)Kubernetes and Container experienceInfrastructure as code (terraform)Proficiency with at least one programming language (ideally Java, Golang, Python, SQL.)Strong automation skillsProven experience deploying … manifests.Proficiency in cloud posture management: familiarity with tools and frameworks to monitor cloud configuration drift and ensure adherence to security benchmarks (e.g. CIS Benchmarks, AWS/GCP best practices)Riskbased prioritisation models: proven ability to translate raw vulnerability data (CVSS scores, exploitability) into business contextualised risk insights, enabling engineering teams ...

Large Language Models (LLMs) Palantir Foundry, Gotham or AIP Data Engineering & Data Analytics Software Engineering Python, Java or similar programming languages Cloud technologies (AWS, Azure or GCP) Data integration, modelling and visualisation Solving complex technical challenges within secure environments What You'll Bring Active UK Developed Vetting (DV) Clearance (essential ...

responsive design principles Strong understanding of Back End technologies and best practices Passion for writing clean, well-tested code Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills and the ability to explain technical ideas clearly A mindset focused on scalability, maintainability, and continuous learning Nice to Have ...

requirements, High/Low-level designs), across Underwriting, Policy Administration, Claims and AI ToolingSolution design experience across various technology domains, including cloud platforms (e.g., AWS, Azure), data management, APIs, microservices, and securityExperience in leading and/or supporting current application estate assessment and providing remediations including definition of technology roadmap … implementing AI-driven solution within the general insurance lifecycle (e.g., claims automation, fraud detection, risk assessment, etc.) is highly desirableProfessional certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect are highly desirableConnect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation ...

provide training in: .NET 10.0, ASP.NET Core, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and Azure Cosmos DB. This is your opportunity to be part of a new, technically challenging project ...

leadership across complex enterprise initiatives Technical Environment Experience in several of the following areas would be beneficial: Snowflake Kafka or other streaming technologies Azure, AWS or GCP Kubernetes and container-based platforms Data Warehousing and Data Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ ...

mapping End User Computing (EUC) security capabilities to CIS Controls v8.1. BMC certifications (Helix ITSM, Remedy, Discovery or Digital Workplace). Experience with Azure, AWS or hybrid cloud environments. Scripting and automation experience (Python, PowerShell, REST APIs or orchestration tools). Experience integrating BMC Helix with monitoring, security or DevOps ...

3+ years' commercial experience as a Data EngineerStrong Python and SQL skillsExperience building and maintaining ETL/ELT pipelinesCommercial experience working with Azure or AWS cloud platformsExperience with modern data platforms such as Databricks, Snowflake or RedshiftExperience using orchestration tools such as Airflow, Azure Data Factory or PrefectStrong understanding ...

experience as a Data Engineer Strong Python and SQL skills Experience building and maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect ...

Code: Knowledge of IaC tools such as Terraform and Helm. Cloud Expertise: Excellent familiarity with at least one of the hyperscaler clouds (GCP, AWS, Azure), and familiarity with the others. Engineering Excellence: Excellent software engineering and problem-solving skills. Communication: Excellent interpersonal and communication skills. Why Join Us Founding Equity ...

container orchestration and cluster management.· Terraform: Strong experience in Infrastructure as Code for cloud and on-prem environments.· Public Cloud: Hands-on experience with AWS, Azure, or GCP.· F5 Distributed Cloud or Similar: Knowledge of CDN/ADC platforms and their integration.· Networking Fundamentals: Expertise in application delivery networks, load ...

SDLC) Continuous Integration (CI) Continuous Delivery and Continuous Deployment (CD) Infrastructure as Code (IaC) Containerisation with Docker Container Orchestration Cloud Computing Fundamentals Cloud Platforms (AWS, Microsoft Azure and Google Cloud) Configuration Management Monitoring and Logging Security Best Practices (DevSecOps) Networking Fundamentals Automation and Scripting Incident Management and Reliability Engineering Practical ...

understanding of DevOps concepts, CI/CD, and modern software delivery practicesHands-on experience with tools such as Jenkins, Git, Kubernetes, Docker, cloud platforms (AWS, Azure, GCP), or similarAbility to explain complex technical concepts to both technical and non-technical audiencesComfortable working in a fast-paced startup environmentExperience supporting EMEA ...

SaaS company during a rapid growth phase and demonstrable experience supporting an enterprise platform globally. Technical Proficiency: A deep, practical understanding of AWS/GCP ecosystems and Kubernetes orchestration. You must be an expert systems administrator with hands‐on experience in Infrastructure as Code (Terraform) and modern observability tools (Datadog ...

systems. Demonstrated ability to independently solve design and functionality challenges with minimal supervision leveraging modern AI techniques. Experience working with cloud platforms such as AWS and Terraform based deliveries. Hands‐on experience designing and building scalable applications using SQL and NoSQL databases. Demonstrated experience leading effective use of enterprise‐authorized ...

Middleware technologies. Experience integrating ERP, CRM, HR, and SaaS platforms (eg, Salesforce, SAP, Oracle, Workday, NetSuite). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of security standards including OAuth2, SAML, JWT, and encryption practices. Professional Skills Strong stakeholder management and communication skills. Ability to present ...

mapping End User Computing (EUC) security capabilities to CIS Controls v8.1. BMC certifications (Helix ITSM, Remedy, Discovery or Digital Workplace). Experience with Azure, AWS or hybrid cloud environments. Scripting and automation experience (Python, PowerShell, REST APIs or orchestration tools). Experience integrating BMC Helix with monitoring, security or DevOps ...

sales, solutions engineering or technical architecture.* Exceptional communication and presentation skills.* Proven ability in technical integrations and conducting POCs.* In-depth knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, OpenTelemetry.* Background in Engineering/DevOps will be considered an advantage.* Previous experience in Technical Sales of Observability, Monitoring ...

Expertise in software engineering or DevOps concepts & best practices is preferred Experience in terraform deploying and configuring metastores and workspaces on any cloud platform (AWS, Azure or GCP) highly desirable Any Databricks certificates are highly regarded Willingness to travel This position is fully-remote; however, London-based applicants will have ...

high‐complexity, data‐heavy domains. Ability to lead architectural discussions and technical trade‐offs without losing sight of the details. Familiarity with cloud infrastructure (AWS preferred) and modern MLOps practices. Commitment to people development: mentoring, performance conversations, and building high‐performing teams. Bonus: experience with NLP on financial contracts ...

passion for clean, performant code and continuous improvement. Bonus Points For Experience with AI tooling (Claude, Co‐Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time‐series databases. Exposure to tick data, real‐time analytics, electronic trading systems. People management or team leadership experience. Why Join Data ...

academic and internship credentials may also apply. Skills Required: Proficiency in programming languages such as C++, Java, Python, or C#. Knowledge of cloud platforms (AWS, Azure, or Google Cloud). Familiarity with DevOps, Agile methodologies, and version control (e.g., Git). Excellent problem‐solving, communication, and team collaboration skills. Salary ...

technical experience with security engineering and cloud computing. Hands‐on security experience and expertise with one or more major cloud platforms such as GCP, AWS or Azure. You are confident in automating your work in languages like Python, Java, or Golang with modern software development practices. You are comfortable with ...

user activity analytics. Proficiency with version control systems (preferably Git) and databases (SQL or NoSQL). Hands‐on experience with major cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker). A genuine interest in applying your technical skills to solve complex challenges in the mental healthcare space. ...

production.Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise environments.Excellent communication and stakeholder management ...