51 to 75 of 190 Amazon S3 Jobs in the UK excluding London

incidents. Qualifications Required Qualifications: 6+ years of hands-on DevOps/Cloud Infrastructure experience. Strong AWS experience, including core services: EC2, EKS, ECS, RDS, S3, Route 53, VPC networking. Strong Terraform experience. Strong knowledge of K8s fundamentals (networking, workloads, ingress, scaling, troubleshooting). Experience with CI/CD systems ...

technical design and deliver to an agreed standard. Desirable Experience with Spring Boot, TypeScript and React. Familiarity with AWS services such as ECS, Lambda, S3 and RDS, or comparable cloud services. Exposure to Snowflake, Redis or similar technologies. Experience working with foundation-model APIs, structured outputs, tool calling, retrieval ...

technical stakeholders Experience supporting machine learning or AI workloads through production-grade data engineering solutions Highly Desirable Strong AWS data platform experience (S3, Glue, EMR, Redshift, Athena, Lambda, Bedrock, SageMaker or equivalent) Experience operationalising machine learning models into production environments Experience with MLOps, model deployment, model monitoring, model lifecycle ...

Factory, Informatica, or similar.Hands-on experience with major cloud platforms (AWS, Azure, or GCP) including Snowflake deployment, networking (Private Link), and cloud storage integration (S3, ADLS, GCS); familiarity with lakehouse stacks (Databricks, Delta Lake, Apache Iceberg) is a plus.Mastery of Snowflake security and governance: RBAC, tag-based governance, dynamic ...

experience using C# and .NET technologies. Experience developing, deploying and supporting applications within AWS cloud environments. Knowledge of AWS services such as EC2, Lambda, S3, RDS, IAM and CloudWatch. Understanding of cloud-native architectures, scalability, security and resilience principles within AWS. Knowledge of Infrastructure as Code (IaC) tools such ...

distributed systems. Experience with MarTech solutions (Analytics, A/B Testing, Personalisation, Tag Management). Professional experience with AWS services such as Lambda, S3, EventBridge, SQS and ECS. Benefits Discretionary annual bonus and annual pay review. 25 days holiday + bank holidays, plus optional 5‐day purchase. Flexible working ...

PowerShell unit testing Experience automating Active Directory, Group Policy, or Windows networking tasks via PowerShell Solid AWS experience: EC2, EKS/ECS, Lambda, S3, RDS, VPC, IAM, and CloudWatch — understanding of services as automation targets Familiarity with CI/CD platforms and integrating infrastructure code pipelines (GitHub Actions, Jenkins ...

experience in cloud security or security engineering within an AWS focused DevOps environment. Strong technical proficiency across AWS services including IAM, VPC, EC2, S3, RDS, Lambda, and core networking concepts. Deep, practical experience in incident response , including digital forensics, log analysis, threat detection, and handling security incidents ...

cloud security or security engineering within an AWS focused DevOps environment. Strong technical proficiency across multiple cloud services services including IAM, VPC, EC2, S3, RDS, Lambda, Entra ID, Azure Front Door, Azure Functions, Azure Monitor and core networking concepts. Deep, practical experience in incident response, including digital forensics ...

experience leading DevOps teams within large, complex technology programmes. Proven experience working within multi-vendor delivery environments. Strong hands-on AWS experience, including IAM, S3, EC2, Lambda, VPCs and DynamoDB . Strong Infrastructure as Code experience using Terraform . Experience building and maintaining CI/CD pipelines using GitHub ...

large-scale data solutions Hands-on expertise in Apache Spark development using Java or Scala (Python experience considered) Strong proficiency in AWS cloud services (S3, EMR, Glue, IAM, etc.) and cloud-native architecture principles Advanced SQL development skills for performance-critical data transformations Practical knowledge of ETL/ ...

models from scratch. Strong proficiency in Python (pandas, PySpark, or similar) and SQL. Experience with cloud-based data platforms (e.g., Snowflake, Azure DL, AWS S3, Databricks). Practical knowledge of AI/ML concepts and experience integrating AI capabilities into data products or pipelines. Excellent communication skills: able ...

operational excellence initiatives. Requirements Proven commercial experience as an AWS Data Engineer or Data Platform Engineer. Strong experience working with AWS services including S3, Glue, Athena, EMR and Lambda. Advanced SQL and Python skills. Strong data modelling expertise, including dimensional modelling and analytics-ready data design. Experience delivering ...

deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation ...

optimise scalable cloud-based data platforms. The successful candidate will be responsible for architecting enterprise data solutions on AWS, with a particular focus on S3-based Data Lakes, ETL frameworks, analytics platforms, and modern data engineering best practices. You will work closely with engineering, analytics, and business stakeholders … technical roadmaps. Support migration of legacy data platforms into AWS-native architectures. Knowledge Skills & Abilities Strong experience designing and operating Amazon S3 Data Lakes. Hands-on experience with AWS Glue including Crawlers, Data Catalog, ETL Jobs and Workflows. Experience designing analytical solutions using Amazon Redshift. ...

driven microservices Our Tech Stack Backend: C#, .NET 10.0, Redis, MongoDB, SQL Server, MassTransit, Mediator Data: Azure Blob and Table Storage, Amazon S3, streaming and batch processing, time‐series and analytical data stores Messaging and Integration: Azure Service Bus, RabbitMQ, event‐driven patterns Infrastructure: Azure, AWS, Docker ...

Design and optimise data models and schemas for both structured and unstructured data with a snowflake environment Enhance cloud data capabilities, working with AWS S3, Azure Data Lake, and Apache Spark Collaborate with cross-functional teams to ensure data availability for advanced analytics and reporting Automate workflows, implement ...

3+ years of experience in a DevOps, SRE, or infrastructure‐focused engineering role Strong experience with AWS services (EC2, ECS, RDS, S3, IAM, Cognito) Proficiency with infrastructure‐as‐code (especially AWS CDK, but Terraform or similar also a plus) Hands‐on experience with Docker and container orchestration ...

strategies Hands-on experience with AWS Infrastructure as a Service (IaaS), including provisioning and operating core compute, storage, and networking services (e.g., EC2, EBS, S3, VPC) Demonstrated ability to architect and manage infrastructure on AWS Cloud, utilizing Infrastructure as Code (IaC) tools like Terraform to automate and optimize deployment ...

integrating modern services with Legacy SOAP/XML systems and modernising them incrementally. Hands-on AWS experience, ideally EKS, RDS PostgreSQL, SQS, SNS, and S3, with infrastructure as code such as Terraform. Database tuning and batch processing experience on high-volume transactional services. Confidence getting more out of existing ...

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 ...

idempotent re-ingestion, error handling), containerisation with Docker and CI/CD with GitHub Actions Desirable Experience • Cloud deployment, particularly Google Cloud; AWS (Bedrock, S3, ECR, EKS) is also used today • Kubernetes and Helm • Working with LLM providers (OpenAI, Anthropic, Bedrock) and locally hosted models (Ollama) • Data labelling workflows ...

Scala . Experience with messaging and event-streaming technologies such as Kafka . Strong experience integrating with backend services including PostgreSQL , Redis , and S3/Object Storage solutions. Deep understanding of microservices architecture , distributed systems, and modern software design patterns. Experience working with Big Data technologies and data-intensive ...

both technical and business audiences We'd also love to see (you don't need all of these) Working knowledge of cloud, ideally AWS (S3, SQS, Lambda, Fargate) or equivalents Experience with distributed, microservices-based applications Solutions architecture and system design experience Strong database and data modelling skills Experience ...

architecture, Delta Lake, Unity Catalog, and streaming technologies. Broad cloud expertise across Azure (Synapse, ADF, Event Hub, ADLS Gen2, Purview, Key Vault) and AWS (S3, Glue, EMR, Kinesis, Athena, Lake Formation, IAM), with strong multi-cloud experience. Strong understanding of modern engineering practices, including CI/CD for data ...