4 of 4 Amazon S3 Jobs in Portsmouth

DevOps Engineer

Hiring Organisation
Plan A Digital
Location
Portsmouth, Hampshire, UK
Employment Type
Full-time
understanding of AWS across compute, networking, identity and databases. Solid experience with Terraform and CloudFormation. Strong Python skills. Confident with SQL, MySQL, Postgres and S3 based storage. Comfortable with Linux and shell scripting. Experience with Git, GitHub and CI or CD pipelines. Strong analytical and problem solving mindset with ...

Engineering Manager

Hiring Organisation
Orbis Group
Location
Portsmouth, Hampshire, UK
Employment Type
Full-time
Experience building large-scale ingestion and normalisation pipelines Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS) CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines Experience operating highly available systems in production environments Security, Compliance ...

Software Engineer in Test

Hiring Organisation
SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Location
Portsmouth, Hampshire, UK
Employment Type
Full-time
than ticking every box. What they're looking for Experience with (or enthusiasm to learn) JavaScript/TypeScript, Node.js, React, and AWS (Lambda, Fargate, S3) Exposure to modern testing tools such as Cypress, Playwright, Mocha, or Chai A pragmatic, methodical approach to improving legacy systems while continuing to deliver ...

Data Engineer

Hiring Organisation
QAD
Location
Portsmouth, Hampshire, UK
Employment Type
Full-time
pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security … cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline ...