1 to 25 of 111 Permanent Amazon S3 Jobs in the UK

Strong commercial experience designing and building modern data platforms within AWS environments. Excellent knowledge of core AWS technologies, including: AWS Glue Amazon S3 Amazon RDS Amazon Athena Amazon Redshift Strong understanding of data architecture, data modelling and schema management principles. Experience ...

assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core ...

specific systems you’ve made more resilient, scalable, or cost‐efficient. Highly proficient with AWS – VPC, IAM, ELB/WAF, EC2, ECS, EKS, S3, Lambda, Step Functions, Glue, Kinesis, CloudWatch, CloudTrail, SageMaker, Bedrock, OpenSearch, RDS, ElastiCache, SES, KMS and more. Demonstrable experience with containerization technologies (Docker, Kubernetes) and infrastructure ...

East Their wider tech stack includes C#/.NET (Framework & Core), plus Node.js for some services TypeScript with Vue.js/React AWS (Lambda, ECS, S3, DynamoDB, RDS), Docker, Terraform, TeamCity, GitHub SQL Server, MySQL, PostgreSQL + Redis The right experience includes: C#/.NET, REST APIs, and AWS (cloud ...

workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling ...

interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. Strong skills in conceptual, logical ...

Deep understanding of modern architecture patterns (microservices, event driven systems, service oriented architecture) Cloud native development expertise with AWS services (Lambda, API Gateway, EC2, S3, RDS, DynamoDB, SQS/SNS) Solid DevOps knowledge including CI/CD, infrastructure as code, and containerisation Strong experience delivering software in Agile environments ...

products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia ...

modern AWS data services. Architect and develop data ingestion, processing, and transformation pipelines. Design and optimize data storage solutions using AWS services such as S3 and Lake Formation. Develop serverless data processing solutions using AWS Lambda and AWS Glue. Implement data governance and access control frameworks using AWS‐native … hands‐on experience working with AWS cloud services. Strong expertise in AWS data and analytics services, including: AWS Lambda AWS Glue Amazon S3 AWS Lake Formation Amazon Athena Experience building Lakehouse architectures and modern data platforms. Experience working with data formats such as Parquet ...

data, encryption, and secrets management within applications Required Skills AWS & Cloud Hands-on experience developing applications on AWS Understanding of core AWS services (EC2, S3, IAM, VPC, etc.) Familiarity with cloud-native development concepts and deployment models Exposure to Infrastructure as Code (Terraform, Ansible) ECM & OpenText Technologies Experience with ...

modern AWS data services. Architect and develop data ingestion, processing, and transformation pipelines. Design and optimize data storage solutions using AWS services such as S3 and Lake Formation. Develop serverless data processing solutions using AWS Lambda and AWS Glue. Implement data governance and access control frameworks using AWS-native … hands‐on experience working with AWS cloud services. Strong expertise in AWS data and analytics services, including: AWS Lambda AWS Glue Amazon S3 AWS Lake Formation Amazon Athena Experience building Lakehouse architectures and modern data platforms. Experience working with data formats such as Parquet ...

Development Develop scalable services and APIs using TypeScript and Python. Design and maintain microservices architecture. Deploy and manage applications on AWS (ECS, Lambda, S3, DynamoDB). Implement IaC (CloudFormation/Terraform) and CI/CD via GitHub. Apply AWS security best practices (IAM, secure design). Poly cloud understanding ...

management skills A platform-engineering mindset, with deep understanding of trade-offs and designing for failure Strong, hands-on AWS experience, including: Lambda, DynamoDB, S3, EventBridge ECS, RDS, AWS SAM Solid networking and security knowledge, including VPCs, security groups and VPNs Technologies You’ll Work With AWS Cloud Services ...

experience. Strong full stack development skills with TypeScript (front end and back end). Solid hands-on experience with AWS (e.g. Lambda, API Gateway, S3, DynamoDB, etc.). Demonstrable experience in rapid prototyping and AI-assisted/"vibe coding" workflows. Exposure to AI, Generative AI and/or Data ...

experience. Strong full stack development skills with TypeScript (front end and back end). Solid hands-on experience with AWS (e.g. Lambda, API Gateway, S3, DynamoDB, etc.). Demonstrable experience in rapid prototyping and AI-assisted/"vibe coding" workflows. Exposure to AI, Generative AI and/or Data ...

delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain a production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite … architect and operate the full lifecycle AWS IAM — advanced; writes least-privilege policies from scratch, not just modifies examples Amazon S3 — advanced; including lifecycle policies, encryption, and bucket policies AWS KMS — working knowledge of key management in an ML context AWS CI/CD tooling (CodePipeline/ ...

delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain a production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite … architect and operate the full lifecycle AWS IAM — advanced; writes least-privilege policies from scratch, not just modifies examples Amazon S3 — advanced; including lifecycle policies, encryption, and bucket policies AWS KMS — working knowledge of key management in an ML context AWS CI/CD tooling (CodePipeline/ ...

delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain a production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite … architect and operate the full lifecycle AWS IAM — advanced; writes least-privilege policies from scratch, not just modifies examples Amazon S3 — advanced; including lifecycle policies, encryption, and bucket policies AWS KMS — working knowledge of key management in an ML context AWS CI/CD tooling (CodePipeline/ ...

interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. Strong skills in conceptual, logical ...

fundamentals (data structures, concurrency, distributed systems). Deep understanding of AWS cloud‐native architectures and services (e.g., ECS/EKS, Lambda, OpenSearch, DynamoDB, RDS, S3) and resilience patterns. Proficiency with microservices, API design, and event‐driven systems, as well as experience with containerization and orchestration (Docker, Kubernetes). Strong ...

tools such as Claude Code as part of your development process, evaluating outputs and maintaining high engineering standards. Tech Stack : AWS (RDS, S3, DynamoDB, EBS, IAM), Terraform, Ansible, Jenkins, GitLab, Docker, Kubernetes (EKS/ECS), Linux, Python, VPC, ALB, Route 53, security groups. Knowledge of security, obserability, and scalable ...

GitLab, Bitbucket, etc. Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc. Cloud: Azure, AWS (S3) basic Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Need ...

understanding of Kubernetes architecture, concepts, and resource management with respect to AWS EKS clusters. Strong knowledge of AWS core services such as EC2, VPC, S3, IAM, and CloudWatch. Experience configuring and maintaining SPLUNK and Datadog. Extensive experience with IaC using Terraform or OpenTofu. Hands‐on experience managing and operating ...

best practice Work with cloud infrastructure and modern DevOps tooling Tech Stack: Python/Django GraphQL/REST APIs PostgreSQL/Redis AWS (Cognito, S3, Lambda) Terraform/Docker Celery Git/CI/CD Requirements: Building backend applications using Python and Django in a commercial environment. Designing ...

production, this role has real scope. No tickets, no hand‐offs, just ownership What You Bring AWS Depth: Strong production experience with Lambda, ECS, S3, SageMaker, and Bedrock, with solid knowledge of IAM, cloud networking, and security fundamentals Terraform Expertise: Deep, hands‐on Terraform experience. You write infrastructure ...