14 of 14 Amazon S3 Jobs in the North West

environments and working experience in data & analytics services such as Amazon EC2, AWS Lambda, AWS Fargate, Amazon ECS, Amazon EKS, Amazon S3, AWS Glue, Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon SageMaker, Amazon Bedrock (including LLM hosting and management). Expertise … Demonstrated experience designing and implementing Generative AI solutions (chatbots, digital assistants, content generation, etc.). Hands-on implementation and operation of AI/ML models with services like Amazon SageMaker. Advanced proficiency in Python and related AI/ML productivity libraries. Expertise in SQL and NoSQL database technologies. Skills Python AWS Gen AI Job Details Job Title: Technical More ❯

Strong experience with modern React (TypeScript, HTML, CSS). Proven backend development skills with RESTful APIs (AWS Lambda, API Gateway, DynamoDB). Experience deploying frontend apps on AWS (CloudFront, S3, Cognito). Proficiency with Git, CI/CD, and infrastructure-as-code (AWS SAM or CloudFormation). Familiarity with automated testing frameworks and practices. Passion for clean code, simplicity More ❯

is preferrable Solid understanding of networking protocols and concepts (TCP/IP, DNS, SSL/TLS, routing, etc.). Proficient with AWS services including EC2, ELB, VPC, IAM, CloudWatch, S3,VPC Lattice, Transit Gateway, VPN and more. Practical knowledge of DevOps tools: Git, Jenkins, Docker, Ansible, Terraform. Strong scripting skills (Bash, Python, or equivalent). Experience in managing production More ❯

with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or Streamlit cloud and tooling : experience with AWS (S3, Lambda, Bedrock, Athena, or SNS), or other cloud services Azure, or GCP; and familiarity with version control (Git/GitHub), command line, and IDEs software engineering practices : unit testing More ❯

and colleagues in an agile environment. Skills and Experience Required: 4+ years of proven experience developing in Python (full stack additionally). Hands-on AWS experience (e.g. Lambda, EC2, S3, etc.). Knowledge of CI/CD, testing practices, and agile delivery methods. Experience working in a consulting or client-facing role is desirable but not essential. Be part More ❯

and colleagues in an agile environment. Skills and Experience Required: 4+ years of proven experience developing in Python (full stack additionally). Hands-on AWS experience (e.g. Lambda, EC2, S3, etc.). Knowledge of CI/CD, testing practices, and agile delivery methods. Experience working in a consulting or client-facing role is desirable but not essential. Be part More ❯

systems. Typical responsibilities will include: Supporting and managing RedHat Linux systems (v6 & v7) Automating via Shell scripting in Linux/UNIX environments Working with AWS services such as EC2, S3, and CloudWatch Managing infrastructure using tools like Kubernetes and Terraform Administering storage (LVM, RAID) and working with Dell server hardware (BIOS, iDRACs, cabling) WHAT YOU NEED TO HAVE To More ❯

systems. Typical responsibilities will include: Supporting and managing RedHat Linux systems (v6 & v7) Automating via Shell scripting in Linux/UNIX environments Working with AWS services such as EC2, S3, and CloudWatch Managing infrastructure using tools like Kubernetes and Terraform Administering storage (LVM, RAID) and working with Dell server hardware (BIOS, iDRACs, cabling) WHAT YOU NEED TO HAVE To More ❯

are stable, secure, and up to date. Key responsibilities: Managing and supporting RedHat Linux systems (v6 & v7) Developing Shell scripts in Linux/UNIX environments Working with AWS (EC2, S3, CloudWatch) Leveraging Kubernetes and Terraform for orchestration and IaC Handling disk/volume management (LVM, RAID), and maintaining Dell server hardware (BIOS, iDRAC, cabling) REQUIRED SKILLS & EXPERIENCE To be More ❯

role with a leading UK consultancy supporting national security and defence cloud platforms. Core Responsibilities AWS Infrastructure Engineering Build and operate secure AWS environments including VPC, EC2, IAM, Lambda, S3 and RDS to meet stringent compliance and performance requirements Infrastructure as Code and Automation Streamline deployments using Terraform, CloudFormation, Ansible and build automation scripts in Python or Bash for … DV Clearance: Active Developed Vetting clearance is mandatory due to the nature of the environment. AWS Cloud Experience: Proven record deploying and managing AWS services such as VPC, EC2, S3, RDS, Lambda, IAM, CloudWatch, etc., ideally in high-assurance or government contexts. IaC & Automation: Hands-on with Terraform, Ansible, CloudFormation or equivalent, and scripting skills in Python, Bash or More ❯

/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge of AWS S3 and associated big data services Extensive experience with big data technologies including Hadoop and Spark for large-scale dataset processing Deep understanding of data security frameworks, encryption protocols, access More ❯

TLS/SSL) and encryption standards (e.g., AES-256). Cloud and Deployment : Proficiency with Amazon Web Services (AWS) for cloud hosting, scaling, and deployment (e.g., EC2, S3, Lambda). Alternatively, experience with Replit for collaborative development and deployment. Familiarity with Vercel for deployment and CI/CD pipelines. Version Control : Expertise with Git and GitHub for More ❯

to team members as needed. Profile The successful Senior Data Engineer should have: A strong background in data engineering or related fields. Strong experience with thefollowingAWS services: DynamoDB Glue S3 Athena Proven experience working with data lakes and large-scale data processing Excellent communication and data storytelling skills Job Offer The successful Senior Data Engineer will be able to More ❯

with a desire to complete certification will be considered Hands-on experience with Amazon Web Services (AWS), including but not limited to core IaaS (IAM, VPC, EC2, S3, EBS, ELB) and native AWS PaaS Services (Lambda, AWS Config, EMR, Athena, EKS, etc.) Hands-on experience with Azure public cloud, including core (compute, storage, networking) platform, PaaS and More ❯