76 to 100 of 421 Amazon S3 Jobs in the UK

in Python or Scala Familiarity in Java Experience in a Marketing technical stack and 3rd party tools Broad experience of working within AWS; including infrastructure (VPC, EC2, Security groups, S3 etc) to AWS data platforms (Redshift, RDS, Glue etc). Working Knowledge of infrastructure automation with Terraform. Working knowledge of test tools and frameworks such as Junit, Mockito, ScalaTest More ❯

Sr Delivery Consultant (AI/ML), Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that … for business problems - Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem - Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs - Analyze and extract relevant information from large amounts of historical data to help automate and optimize … English, within technical and business settings. PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3 and EC2) - AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate) - Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models. More ❯

other platforms to share knowledge with your peers) Nice To Have Knowledge of systems design within a modern cloud-based environment (AWS, GCP) including AWS primitives such as IAM, S3, RDS, EMR, ECS and more Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg More ❯

with CI/CD pipelines using Azure DevOps, GitLab, or similar Knowledge of API development and data onboarding with energy data providers Hands-on experience with AWS services like S3, Lambda, and EC2 Manage data storage using relational databases such as MS SQL Translate business needs into technical designs and improve existing solutions Ensure operational robustness, high availability, security More ❯

use native cloud services; and keep the conversation alive with new standards, technologies and reference implementations. Main responsibilities Support the design, deployment, and management of AWS infrastructure components (ECS, S3, RDS, Servless SQS/SNS) in alignment with internal cloud standards. Develop Infrastructure-as-Code using Terraform or AWS CloudFormation to support repeatable and secure deployments. Monitor cloud environments More ❯

Developed Vetting) – must be valid . Proven experience as a Technical Architect or Lead Engineer in secure environments. Strong hands-on experience with Python and AWS (e.g., Lambda, ECS, S3, IAM). Familiarity with Infrastructure as Code (Terraform, CloudFormation). Experience with CI/CD pipelines, DevSecOps, and Agile delivery Background in defence, intelligence, or national security projects Experience More ❯

with dev teams on Java-based apps and AWS operational support Triage infrastructure alerts and contribute to platform reliability Essential Skills: 3+ years of AWS experience (EC2, Lambda, CloudFront, S3, ACM, ECS, CloudWatch) Solid CI/CD knowledge - hands-on migration between Azure DevOps & GitHub Actions Strong Infrastructure-as-Code: Terraform/CDK/CloudFormation Familiarity with Java applications More ❯

Familiarity with Hibernate and Atlassian Suite - Bitbucket, Jira, Confluence Advantageous: experience with JSF (Primefaces), cloud software development (AWS), microservices, serverless architectures, and AWS services like EC2, EKS, Fargate, IAM, S3, Lambda. More ❯

querying capabilities. Velocity Scripts: Utilize Velocity scripts to enhance server-side rendering and dynamic content generation. Cloud Services: Deploy and manage applications on AWS, utilizing services such as EC2, S3, Lambda, and more. Implement best practices for security and scalability in cloud environments. Continuous Integration/Continuous Deployment (CI/CD): Set up and maintain CI/CD pipelines More ❯

experience in Zscaler Solid understanding of networking protocols and concepts (TCP/IP, DNS, SSL/TLS, routing). Proficiency with AWS services including EC2, ELB, VPC, IAM, CloudWatch, S3,VPC Lattice, Transit Gateway and VPN. Practical knowledge of DevOps tools: Git, Jenkins, Docker, Ansible, Terraform. Strong scripting skills (Bash, Python, or equivalent). Public Sector/Central Government More ❯

services Mentoring others and acting as a go-to technical escalation point within a close-knit team 🛠 Key tech skills you’ll bring: Strong commercial experience with AWS (EC2, S3, RDS, Lambda, IAM, ECS, CloudFront, etc.) Deep proficiency in Terraform and infrastructure automation Strong scripting ability (e.g. Python, PowerShell, Bash) Solid knowledge of CI/CD processes and tools More ❯

architecture A proactive and self-managing attitude (Desirable) Detailed knowledge of using PostgreSQL or PostGIS in a production environment (Desirable) Typescript experience (Desirable) Have worked with core AWS services (S3, Lambda, DynamoDB, API Gateway, Kinesis, Cognito, or comparable services on other platforms) Working at Route Reports This role is hybrid, with occasional travel around the UK for customer visits. More ❯

as code (e.g., Terraform). Experience working in a remote or distributed team environment. Experience working with cloud environments (AWS, Azure, or GCP). Familiarity with AWS services like S3, Lambda, EC2, SQS, and SNS. Personal Attributes Curious, proactive, and eager to learn. Comfortable balancing engineering depth with occasional BI support. Strong ownership mindset and attention to detail. Organized More ❯

fluency. Skills & Experience: Deep familiarity with Databricks (administration and development) Strong experience with CI/CD tools and pipelines for data science Solid understanding of AWS services (e.g. EC2, S3, Lambda, Glue) and CDK Proficient in Python and PySpark; SQL fluency Experience with MLflow or other model lifecycle tools Effective communicator and trainer - able to help others upskill Comfortable More ❯

asynchronous programming techniques and frameworks (in Java). Fluent in SQL and experience with RDBMS like Postgres and Oracle. Experience with Docker and docker-compose. Exposure to AWS specifically S3 , Aurora, ElasticCache Exposure to modern CI/CD platforms like Gitlab (or similar GitHub Actions, CircleCI) Understands the importance of monitoring and proactive in resolving critical issues. Fluent in More ❯

understanding of software testing methodologies, excellent analytical skills, and a passion for delivering high-quality products. Tech Stack: AWS Serverless Lambda with Node.js API Gateway (REST/JSON) DynamoDB S3 WAF Back-Office Banking Systems API Integration Dynamics 365 CRM React.js (website)/React Native (app) Responsibilities: Collaborate with cross-functional teams to understand project requirements and define test More ❯

Maven, Spring Boot etc) Good knowledge of relational database management systems (RDBMS) such as PostgreSQL Experience in developing interactive products with realtime technologies (e.g. Websocket) Experience with AWS services (S3, EC2, RDS, DynamoDB, ElastiCache etc) Working basic knowledge of infra technologies and processes (deployment, contracts, gRPC etc) to co-design solutions with our other engineers Working knowledge of microservices More ❯

Java, Scala, C# or Python Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Strong More ❯

systems and the ability to design scalable, fault-tolerant applications. Expertise in working with MySQL databases, including design, query optimisation, and performance tuning. Significant experience with AWS services, including S3, DynamoDB, SQS, SNS, IAM, Athena, and CloudWatch. Desirable Skills Familiarity with containerisation technologies (e.g., Docker). Understanding of CI/CD pipelines. Experience with serverless frameworks like Serverless, AWS More ❯

support Essential Skills & Experience: CI/CD Terraform Kafka Kubernetes (plus experience migrating away from Kubernetes to serverless) GitLab GitHub Actions (and ideally GitHub Enterprise) AWS services: Lambda, CloudWatch, S3, IAM, Athena, RDS Strong stakeholder management and communication skills Desirable Skills: FinOps Testing Cybersecurity Experience working as the sole DevOps Engineer on a project Reasonable Adjustments: Respect and equality More ❯

with Influx Full stack administration - TICK/elastic search/open search/Fluentd Experience of AWS Cloud based services Configuration and deployment of common AWS services, VPC, EC2, S3, NLB IAC approaches to AWS automation i.e. Terraform, CDK Other Agile working practices, including Kanban/Scrum, retrospectives, VFQ. Customer focused, through proactive engagement Risk aware, focused on risk More ❯

DevOps, Infrastructure as Code, CI/CD practices. Desirable skills Experience handling large datasets (>100GB). Knowledge of schema evolution tools like Flyway or Liquibase. Experience with AWS services (S3, IAM, RDS). Ability to translate data needs into BI dashboards. Knowledge of data governance, lineage, quality, and visualization tools. Experience collaborating across technical and non-technical teams. Interview More ❯

business impact across the organization. To be successful in this role, you will need the following: Strong proficiency and experience in AWS based Machine Learning technologies (AWS SageMaker, Lambda, S3, EC2). Experience with CI/CD pipelines and Docker containerisation for ML model development/deployment. Data preprocessing and feature engineering expertise. Programming skills in Python and ML More ❯

read as it is useful. We are fully AWS hosted. You'll get to use a range of tools and services, such as Kubernetes, Docker, Postgresql, Redis, SQS, SNS, S3, etc. Collaborating with product managers, designers, QA engineers and web/app engineers to help execute on product vision and drive value for our business. Deploying features as experiments More ❯

Lead development projects, data modelling, and cloud data platform deployments. Mentor data engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub More ❯