276 to 300 of 2,286 AWS Jobs in London

applying them to solve specific problems. Solid engineering skills, including designing and implementing services/data models and features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines ...

adjacent domains is a strong plus and will be valued in candidate evaluation, since it enables broader solution ownership across engagements. Public cloud platforms (AWS, Azure, GCP), particularly hybrid and cloud‐adjacent private cloud designs. Networking (routing/switching, data center fabric) given the tight coupling with NSX/ ...

contributing to and overseeing large-scale rollouts and infrastructure initiatives. Expertise in several of the following areas: robust python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance. What ...

implementation partner or as part of a delivery/technical consulting team in a software company. Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure Data ...

/CD pipelines What We're Looking For Strong experience with Java (8+) and the JVM ecosystem Hands‐on expertise with cloud platforms (Azure, AWS, etc.) Experience with SQL and NoSQL databases Proven ability to build and scale distributed systems Understanding of Agile delivery methods Exposure to reactive programming Experience ...

tools such as Jira, Azure DevOps, Confluence or TestRail. Desirable skills Exposure to Kubernetes, OpenShift, Helm and ArgoCD. Experience with cloud platforms such as AWS, Azure or Google Cloud Platform. Knowledge of infrastructure automation tools such as Terraform or Ansible. Familiarity with compliance and security frameworks including ...

Data Platform, Cloud, Integration or Platform Engineering teams Strong experience with modern data platform technologies, including Snowflake and/or Kafka. Experience with Azure, AWS or GCP Good knowledge of Kubernetes and containerised platforms Experience with CI/CD pipelines, Git-based source control and automation Understanding of platform governance ...

with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders ...

with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders ...

based platforms and infrastructure.Technical Proficiency: Exhibiting a good grasp of cloud platform engineering principles and demonstrating expertise in areas such as cloud service providers AWS, Azure, GCP, containerization technologies like Docker and Kubernetes, and infrastructure as code IaC.Independent Work and Initiative: Expected to work independently on specific tasks, showcasing initiative ...

Experience working with data manipulation and large datasets. Proven experience developing and maintaining production-level codebases . Experience with any public cloud provider (GCP, AWS, or Azure). Optimise Python performance through effective use of loops , vectorization , threading , and understanding of the Global Interpreter Lock (GIL) . Desirable Experience Experience ...

distributed systems patterns. * Proficiency with message brokers (e.g., Kafka, RabbitMQ) and event-driven architectures. * Experience with CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and advanced DevOps practices. * Proven ability to lead technical initiatives, define architectural patterns, and mentor backend development teams. * Strong understanding of backend security best ...

Registry, and event-driven architecture. •Hands-on experience with GitHub Actions, CI/CD, DevOps automation, and Infrastructure-as-Code. •Experience with Azure/AWS/GCP cloud platforms. •Strong knowledge of Kubernetes, containerization, and cloud-native platforms. •Deep understanding of Data Mesh, Data Governance, Security, and Compliance. •Experience with ...

that transform complex operational data into trusted business insights. Working as part of a multi-disciplinary Agile team, you will help evolve a sophisticated AWS-hosted platform that ingests data from WiFi, IoT sensors and other property technology systems. This is an exciting opportunity for someone who enjoys combining data ...

understand needs, communicate solutions, and support delivery in real-worldenvironments Experience working with APIs, data pipelines, or distributed systems Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) Exposure to AI/ML concepts, including LLMs and prompt engineering Demonstrate advanced user capability on CodeX, Claude, etc. and other ...

scaling teams Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large‐scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines ...

Kafka, Apache Storm, CouchbaseDB/NoSQL, Spring). Familiarity with modern infrastructure paradigms , such as containerization (OpenShift/Kubernetes) and cloud platforms (GCP/AWS) is highly advantageous. Understanding of AI, machine learning, or advanced quantitative analytics applications in financial systems is a strong plus. Outstanding communication and collaboration skills ...

scale. Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks). Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines. Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems. Track record ...

Advanced Python and C/C++, with experience of infrastructure-as-code and at least one major cloud provider (AWS, GCP, or Azure) Nice to have: Experience with hardware-in-the-loop or software-in-the-loop test environments Exposure to MLOps, including model drift validation, dataset governance, and automated ...

cloud-native applications.* A solid understanding of software architecture, system design, scalability, resilience and security principles.* Experience working with cloud technologies such as AWS and/or Azure.* Well-developed SQL and data analysis skills, including troubleshooting, optimisation and production support.* Experience operating within modern DevOps environments, including CI/ ...

high-volume data processing patterns. Strong system design skills, with the ability to make pragmatic technical trade-offs. Experience with cloud platforms, preferably AWS, and infrastructure as code tooling such as Terraform. Strong knowledge of testing strategies, CI/CD, and engineering quality practices. Strong debugging, problem-solving, and analytical ...

model drift, dataset governance, and automated performance evaluation. Expertise in managing complex build environments (e.g., CMake, Bazel) or cloud-native infrastructure-as-code (Terraform, AWS/GCP). Direct experience navigating FDA Q-Sub or MHRA pre-submission processes. Experience with hardware-in-the-loop or software-in-the-loop ...

skills*** CI/CD — GitLab Pipeline/Jenkins/Harness (highly relevant given your Harness Engineering direction).* Infrastructure as Code — Terraform.* Cloud platform — AWS (ECS/EKS, Lambda, S3, IAM, networking); container orchestration with Docker + Kubernetes.* Observability & monitoring — OpenTelemetry, CloudWatch, logging/tracing for AI workloads.* Scripting/ ...

internal and external use. Developing complex interfaces using ReactJS and TypeScript. Develop, deploy, and maintain scalable, resilient cloud‐native applications on platforms such as AWS or GCP. Translating product and business requirements into solid technical solutions. Participate in code reviews and contribute to improving software development processes and culture. Build ...

implementation partner or as part of a delivery/technical consulting team in a software company. Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture. Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure Data ...