101 to 125 of 1,823 AWS Jobs in London

DevOps tooling • Infrastructure as Code – HashiStack (Terraform, Vault, Consul etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang More ❯

CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and effectively deliver projects What we offer Equity options - share in our success and growth. 10% employer More ❯

and influence technical discussions. Proven experience as a Technical Architect or similar role. In-depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance More ❯

and influence technical discussions. Proven experience as a Technical Architect or similar role. In-depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance More ❯

SC Cleared AWS Architect 3 days a week in Central London office Initial 6-months £600 - £650, Inside IR35 A global organisation is seeking a SC Cleared AWS Architect to design, implement, and oversee scalable, secure cloud solutions within a large enterprise environment. As an SC Cleared AWS Architect, you will be responsible for: Design and implement AWS architectures Lead … the design and delivery of AWS-based, cloud-native data platforms. Drive data modernisation, migrating legacy systems to scalable cloud solutions. Collaborate with architects and stakeholders to align with enterprise strategy. Act as a technical liaison between Delivery and Client teams. Support proposals and solution design Define and implement data governance, security, and compliance frameworks. Work hands-on with AWS … services Requirements: Significant experience in AWS cloud architecture Strong background in software engineering Strong hands-on expertise with AWS services AWS Certified Solutions Architect and/or equivalent certifications SC Cleared (essential) Please contact/01676545407 to discuss in further detail ECS Recruitment Group Ltd is acting as an Employment Business in relation to this vacancy. More ❯

Overview Job ID: AWS EMEA SARL (UK Branch) Amazon launched the Generative AI Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and … of data to address real-world problems. Responsibilities The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical "face" of AWS within our solution providers' ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and … technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including More ❯

in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency in the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data More ❯

founders, design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across More ❯

founders, design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across More ❯

founders, design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across More ❯

founders, design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across More ❯

and multiple paradigms (e.g. declarative, functional, object oriented ) Experience with establishing good engineering practice focused on lean, cross-discipline, continuous delivery Experience with cloud infrastructure such as Azure, GCP, AWS, and understanding of progressive ways of managing infrastructure, such as infrastructure-as-code, cluster orchestration tools (e.g. Docker, K8s), Experience with setting up modern CI/CD pipelines to support More ❯

solutions Experience working with Microservices, Event Sourcing and CQRS Highly proficient in C# .NET Strong experience with an RDBMS and SQL (preferably PostgreSQL or SQL server) Strong experience with AWS including Lambdas, RDS, Cognito Excellent communication and presentation skills Professional attitude (self-starter, ability to work with minimal supervision and in a team as required, ability to meet deadlines) Strong More ❯

with Test-Driven Development (TDD) and automated testing frameworks Excellent collaboration and communication skills, with a track record of working effectively in Agile environments Familiarity with public cloud platforms (AWS, Azure, or GCP) and containerized deployments Experience in retail banking or financial services is beneficial Environment & Culture The team currently manages over 300 microservices and operates within a truly collaborative More ❯

with Test-Driven Development (TDD) and automated testing frameworks Excellent collaboration and communication skills, with a track record of working effectively in Agile environments Familiarity with public cloud platforms (AWS, Azure, or GCP) and containerized deployments Experience in retail banking or financial services is beneficial Environment & Culture The team currently manages over 300 microservices and operates within a truly collaborative More ❯

environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience with DevOps tooling, particularly Terraform and CI/CD pipelines (e.g. Jenkins). A proactive, growth-oriented mindset More ❯

scale. Demonstrable experience with large scale datasets, data engineering workflows, and production automation. Python (production grade), SQL, Linux; strong software engineering (testing, type hints, code review, packaging). Cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking (MLflow/W&B). Machine Learning for time series/tabular data More ❯

to align priorities Mentoring and inspiring junior engineers, embedding a culture of quality and continuous improvement Essential experience Strong knowledge of coding concepts and modern engineering practices Cloud expertise (AWS preferred) with infrastructure-as-code (Terraform/CloudFormation) Containerisation and orchestration (Docker, Kubernetes) Modern development frameworks (React, Node.js, Next.js, Python) Databases such as DynamoDB, MongoDB, or RDS CI/CD More ❯

s a list of some of the typical technologies we use: CI/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and mitigation tools More ❯

s a list of some of the typical technologies we use: CI/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and mitigation tools More ❯

we expect of you Minimum 5 years of experience in Platform Engineering, Site Reliability Engineering (SRE), or DevOps roles supporting cloud-native enterprise environments Proficient in Microsoft Azure and AWS platforms with hands-on experience in Kubernetes (AKS/EKS), Helm charts, and service mesh technologies such as Istio or Linkerd Strong knowledge of CI/CD automation using Azure More ❯

we expect of you Minimum 5 years of experience in Platform Engineering, Site Reliability Engineering (SRE), or DevOps roles supporting cloud-native enterprise environments Proficient in Microsoft Azure and AWS platforms with hands-on experience in Kubernetes (AKS/EKS), Helm charts, and service mesh technologies such as Istio or Linkerd Strong knowledge of CI/CD automation using Azure More ❯

with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯