51 to 75 of 97 Amazon S3 Jobs in Slough

cloud-native infrastructure built on AWS . Tech Stack & Responsibilities Design, develop and deploy backend services using Python (Preferred) Work with AWS (Lambda, ECS, S3, API Gateway, etc.) to build scalable, serverless solutions Integrate APIs across multiple platforms (web, mobile, retail systems) Collaborate with cross-functional teams in a More ❯

such as Spring. Familiarity with Scala programming language and its ecosystem. Basic understanding of cloud computing concepts and experience with AWS services (e.g., EC2, S3, Lambda, DynamoDB). Strong problem-solving skills and ability to learn new technologies quickly. Excellent communication and teamwork skills. Benefits: Competitive salary and benefits More ❯

an AWS serverless environment. Responsibilities: Backend Development: Design, develop, and maintain serverless systems in Node on AWS. Utilize AWS services such as Lambda, DynamoDB, S3, ECS, ECR for efficient data processing. Develop and maintain Docker containers for data processing. Integration and Deployment: 3rd party API development Work on systems More ❯

to have: Software engineering background Exposure to building or deploying AI/ML models into a production environment Previously used AWS data services e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS Experience using any data streaming technologies/paradigms for real-time or near-real time analytics More ❯

scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery role (preferred). Proven More ❯

front runner for this position. Nice to haves (in order of priority – at least one or two is needed): Python (commercial experience) AWS services – S3, ECS, AppSync GraphQL or REST APIs Kafka or message queue systems PostgreSQL or NoSQL database experience To apply – click the link or for a More ❯

to architecture decisions and continuous improvement initiatives. Requirements: 5+ years of experience with Node.js and Express. Hands-on experience with AWS (e.g., Lambda, EC2, S3, DynamoDB). Exposure to AI/ML projects or pipelines (preferred). Startup or high-growth environment experience. Experience with Chatbox To be considered More ❯

React.js & ideally Next.js - experience with React Native for cross-platform development is also great Demonstrable expertise in AWS and related services including EC2, Lamba, S3 etc Any experience with AI/LLM integrations is also great to have Agile and modern engineering principles with a background in mentoring and More ❯

Software Engineer, you will: Develop and optimize high-performance C++20 code that powers a serverless database running entirely on users’ machines, primarily utilizing AWS S3 storage, with support for Google Cloud and on-premise solutions. Focus on performance-critical areas such as algorithm efficiency, multi-threading, parallel processing, and More ❯

more common RDBMS systems (primarily Postgres). Practical knowledge of commonly used protocols and tools for data transfer (e.g., FTP, SFTP, HTTP APIs, AWS S3). Excellent communication skills. Experience with big data frameworks, databases, distributed systems, or Cloud development Nice to have - Experience with any of these: C++ More ❯

Code (IaC) tools, specifically Terraform. Experience working with Amazon Web Services (AWS) and a deep understanding of its core services (e.g., EC2, S3, ECS/EKS, Lambda, IAM). Experience designing and implementing RESTful APIs and microservices. Solid understanding of software development principles, design patterns, and best More ❯

our client’s 100 circa Windows VMs over 6 different accounts using AppStream and RDS for databases an EC2 environment of over 100 services S3 backups and storage FSX cloud storage OKTA is central to their hub so lots of Okta and Okta Workflows work including automation projects Windows More ❯

scalable data pipelines and ETL/ELT workflows Work with Snowflake , SQL , and Python to transform and manage large datasets Leverage AWS services (e.g., S3, Lambda, Glue) to build modern, cloud-based data solutions Collaborate with cross-functional teams to improve data accessibility and quality Monitor and troubleshoot data More ❯

releases in a fast-paced, content-rich environment Key requirements: Strong Test Automation skills working with Python Experience with AWS (Lambda, SNS/SQS, S3) and serverless architectures Experience with API Testing (Wiremock) Experience with Test-Driven Development An ability to define and produce testing guidelines Experience working with More ❯

process data for modeling Experience with SQL Experience in the data/BI space Preferred qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets If you are interested More ❯

high-quality, maintainable code and contribute actively to peer reviews. Collaborate with stakeholders to understand analytical and product requirements. Integrate diverse data sources (APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. More ❯

end) and NestJS (back-end) Testing tools: Jest, ViteTest, and Playwright Architectures include SPAs, REST, and GraphQL APIs Hosted on AWS using ECS, RDS, S3 and related services More ❯

Desk, Network Services and Environment Management Services. Key Responsibilities : Act as SME for AWS services such as EC2, VPC, RDS, ELB, Route 53, EFS, S3, and Athena. Configuration Management and Version control System using Ansible and GIT Containerization and Orchestration using tools such as dockers and Kurbernetes Deployment and … issues Key Skills and Experience : AWS Cloud Services : Hands-on experience with key AWS services such as EC2, VPC, RDS, ELB, Route 53, EFS, S3, and Athena. Version Control System: GIT Configuration Management Tools: Ansible Containerization: Docker Orchestration tools: Kubernetes Infrastructure as Code (IaC) Tools: Terraform, AWS CloudFormation DevOps More ❯

Python engineering experience. Experience building ETL pipelines using Python. Experience of SQL and relational databases. Experience with AWS or similar Cloud technology. Experience with S3, Kafka, Airflow, and Iceberg will be beneficial. Experience in the financial markets with a focus on securities & derivatives trading. Exceptional communication skills, attention to More ❯

SQL coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams More ❯

through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply More ❯

using Next.js and Node.js Headless CMS using Drupal APIs written in PHP Hosting using Heroku Apps written in React Native AWS for other services – S3, WAF, Cloudfront, RDS, EC2, Route53 You Have These: Strong leadership and influencing skills across all areas of a business Strong communicator who is clear More ❯

of engineers in their respective timezones • Deep expertise in Kubernetes, with hands-on experience using platforms such as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS) • Proficient … in designing, developing, and releasing code in languages such as Python, Go, or Rust • Practical experience with object storage technologies, including Amazon S3 or Google Cloud Storage (GCS) • Strong background in designing and troubleshooting complex networking issues in both public and private cloud infrastructures • Solid understanding of More ❯

must be an expert with experience with continuous integration, automated deployment, testing and relevant tooling (Git/GitLab, Jenkins, Ansible, Terraform, Linux, AWS EC2, S3 and EKS are essential) with Squid Proxy, NGINX with AWS services - IAMS, WAFS, SQSBYOK, Helm, Kubernetes, Docker, Ingress, Kafka, Elastic Search, Pega exp must … MUS Understanding of the Linux Operating System, standard network protocols and security hardening. Proven experience using AWS Cloud Solutions and services such as Ec2, S3, Lambda, EKS, API Gateway, ALB, API Gateway, Auto scaling etc In-depth knowledge in Infrastructure-as-code tools (such as Ansible, Terraform, etc.) Mandatory More ❯

experience in a systematic Hedge Fund or similar Quantitative Trading environment. Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least More ❯