1 to 25 of 52 Amazon S3 Jobs in London

excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure … customer success, and are committed to improvement. AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart

Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions Implement

Hybrid3daysperweekintheoffice) £65,000£80,000perannum+Bonus+ExcellentBenefits WereworkingwithanexcitingentertainmentcompanythatslookingforaPlatformEngineertostrengthentheircloudandinfrastructurecapabilitiesasthebusinessscales. Youlljoinahighlyskilledengineeringteambuildingsecure,resilient,andscalableplatformsthatpowerreal-timefinancialapplications.Withastrongfocusonautomation,reliability,andcompliance,youllhelpshapethenextgenerationoftheirAWS-basedinfrastructureanddevelopertooling. Thisisanopportunitytohaverealtechnicalinfluenceinacloud-nativeenvironment,drivingbestpracticesacrossDevOps,infrastructure,andplatformengineering. TechStack Cloud: AWS(EC2,RDS,S3,IAM,CloudWatch,Lambda) InfrastructureasCode: Terraform Containerisation&Orchestration: Docker,Kubernetes(EKS),Helm ConfigurationManagement: Ansible Monitoring&Observability: Grafana,Prometheus CI/CD: GitHubActions Automation&Scripting: Python

years of experience in a Data Engineering role. Strong experience and knowledge of data architectures implemented in AWS using native AWS services such as S3, DataZone, Glue, EMR, Sagemaker, Aurora and Redshift. Experience administrating databases and data platforms Good coding discipline in terms of style, structure, versioning, documentation

innovating with cutting-edge innovation and leadership? We're on the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster

cloud-native development . Strong understanding of SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis). Proficient in AWS cloud services especially Lambda, SQS, S3, Cognito, API Gateway, EventBridge, etc. Hands-on experience with DevOps practices (CI/CD pipelines, Docker, GitHub Actions). Familiarity with frontend tooling such

relationship with developing secure and scalable applications (with a strong preference for AWS). An understanding of common AWS services (e.g., EC2, RDS, S3, SQS, Lambda, AWS MQ) Familiar with containerization technologies like Docker and Kubernetes. Basic Knowledge of DevOps automation using CI/CD pipelines Our client operates

make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, S3, IAM, etc.) Kubernetes (building and managing production clusters) Terraform (for full IaC provisioning) Python (scripting, automation) GitHub Actions (CI/CD pipelines) Docker & Helm

GenAI-powered automation Support GenAI initiatives through data readiness, synthetic data generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise

services Tech Stack Frontend : React, JavaScript/TypeScript Backend : Python (FastAPI, Flask, or Django), ideally with geospatial data processing Cloud : AWS (Lambda, ECS, RDS, S3, API Gateway, etc.) DevOps : Docker, CI/CD pipelines, Git Orchestration : Airflow or similar tools Eligo Recruitment is acting as an Employment Business

Agile practices. Ensure clean, testable, and well-documented code. Our Tech Stack You'll be working primarily with: Python (FastAPI, Django) AWS (Lambda, EC2, S3, etc.) PostgreSQL , Opensearch Kubernetes , Helm , Terraform GitHub for version control We're pragmatic about tools and open to exploring new technologies that help

bring expertise in an object-oriented programming language, experience building cloud-based systems (ideally on AWS using services such as Lambda, Step Functions, and S3), and familiarity with CI pipelines and modern DevOps practices. Experience with AWS CDK, monitoring and alerting integrations, and other non-functional engineering concerns

technical stakeholders. Technologies: Back-end: Java 21, Spring Boot, REST, Postgres/Jooq/Flyway, JUnit/TestContainers/Mockito, AWS (EC2, RDS, Cognito, S3, KMS), Containerization (Docker/kubernetes) Front-end: TypeScript, React, and Tailwind CSS Join a growing tech company thats redefining how complex industries connect

background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited acts

DevOps Engineer you will be responsible for: Develop and support solutions using AWS Lambda and related AWS services. Work with services including S3, IAM, DynamoDB, SQS, SNS, API Gateway, SSM, Connect, Pinpoint, Lex, EventBridge, Cognito. Implement and manage Infrastructure as Code. Support and maintain CI/CD pipelines. Contribute

Requirements Essential 3+ years experience in MLOps/ML Engineering/AIOps. Strong expertise in AWS (SageMaker, EKS/Fargate, Lambda, Step Functions, S3). Proficient with Docker, Kubernetes , and IaC (Terraform or AWS CDK). Experience with MLflow , CI/CD tools, and automated testing. Hands-on with

following, or be open to learning: JavaScript: React, Node, Jest, Cypress Ruby (non-Rails environment) – nice to have AWS: EC2, ECS, Lambda, S3, SQS Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues A strong communicator with empathy

technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact

technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact

technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact

technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact

will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/

will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/

ensure scalability, reliability, and security. AWS Expertise: Extensive hands-on experience with Amazon Web Services (AWS), including but not limited to EC2, S3, Lambda, IAM, Redshift, and VPC configurations, along with a thorough understanding of AWS best practices. Git/GitLab/Jenkins Pipelines: Strong command

ensure scalability, reliability, and security. AWS Expertise: Extensive hands-on experience with Amazon Web Services (AWS), including but not limited to EC2, S3, Lambda, IAM, Redshift, and VPC configurations, along with a thorough understanding of AWS best practices. Git/GitLab/Jenkins Pipelines: Strong command