19 of 19 Amazon S3 Jobs in Central London

microservices-based systems . Strong understanding of architectural patterns like CQRS , Event Sourcing , SAGA , and Domain-Driven Design (DDD) . Extensive experience with AWS cloud ecosystem – services like EC2, S3, Lambda, SNS/SQS, API Gateway, RDS/DynamoDB, CloudFormation, etc. Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS). Strong system design and problem-solving skills. More ❯

design AI-powered agent solutions that integrate with enterprise systems and cloud platforms. Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions. Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB, ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely More ❯

support trading applications and databases Help configure secure VPC networks, IAM roles, security groups, and VPNs for vendor access Support the setup of AWS services such as EC2, RDS, S3, and Lambda Contribute to Infrastructure-as-Code using Terraform or CloudFormation for automation Help maintain CI/CD pipelines and streamline deployment workflows Support disaster recovery and backup strategies … and accurate infrastructure documentation and operational runbooks Skills and Experience Required: 1-2 years of experience in cloud engineering, DevOps, or IT infrastructure Hands-on exposure to AWS (EC2, S3, IAM, RDS, VPC) Familiarity with Linux administration and scripting (e.g., Bash or Python) Basic understanding of networking (IP, subnets, routing, VPNs) Preferred: Exposure to Infrastructure-as-Code tools (Terraform More ❯

best practices in devops, aws, and java development.Skill Requirements1. Proficient in devops methodologies and tools such as jenkins, docker, and kubernetes. 2. Strong understanding of aws services like ec2, s3, rds, and lambda. 3. Expertise in java programming and frameworks like spring and hibernate. 4. Handson experience in designing and implementing scalable and secure cloud architectures. 5. Ability to More ❯

Mentoring junior engineers and contributing to a strong engineering culture Working with a modern, cloud-native stack Tech Stack Languages: JavaScript, Node.js Databases: SQL, PostgreSQL, BigQuery Cloud: AWS (Lambda, S3, Kinesis, RDS, Step Functions, AppFlow) DevOps: Serverless, Heroku, GitHub, CircleCI Monitoring: Graphite, Grafana, Splunk Bonus: Experience in marketing tech or AI What We're Looking For Strong full stack More ❯

technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong acumen for application More ❯

with modern frontend development, ideally with React Familiarity with Git and CI/CD pipelines Nice to Have: Experience with NestJS Cloud experience with AWS services (Lambda, API Gateway, S3, etc.) Exposure to payments or fintech environments This role is 3 days on site in central London and offers a quick 2 - 3 stage interview process with interview slots More ❯

consulting experience — either from a Big 4, boutique consultancy, or transformation-focused delivery team . Hands-on experience with AWS security, networking, and core platform services (IAM, VPC, EC2, S3, Lambda, etc.). Familiarity with Infrastructure as Code (Terraform, CloudFormation) and DevOps tooling (Git, CI/CD, etc.). Excellent communication and stakeholder management skills — confident engaging with both More ❯

and scripts using Python to enhance operational efficiency and reduce manual intervention. Experience deploying, managing, and optimizing infrastructure on AWS Cloud, including familiarity with AWS services such as EC2, S3, Lambda, and RD Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications More ❯

and management of errors in Go hands on expereince of Packages & Moduldes plus Go Testing Packages Understanding of Restful APIs, Microservices and distributed system AWS Expereince using EC2, Lamda, S3 EBS, RDS/Dyanamo DB and IAM/KMS Understanding GitLab CI/CD , Git Merging, Rebasing & Conflit Reolution Expereince in Containerization (Docker images) and understanding of Container lifecycle More ❯

oriented AWS architectures. Build and maintain REST APIs using AWS Lambda , API Gateway , and more. Automate infrastructure deployment using Terraform . Work with a wide range of AWS services: S3, IAM, Athena, Glue, SQS, SageMaker , and more. Deliver the integration layer above metadata repositories for the One Bank Data Quality service. Required Skills & Experience: 10+ years software development experience. … Expert in AWS core services: S3, IAM, Lambda, RDS, API Gateway, Glue, Secrets Manager, etc. Deep hands-on experience with Terraform and serverless architecture . Solid knowledge of CloudWatch , Glue Crawler , and Athena . Bonus: Familiarity with SageMaker Studio , Spark , and Python . Why Join? This is a fantastic opportunity to work on high-impact projects in a fast More ❯

/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required More ❯

and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack More ❯

leader with deep AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift, Matillion, etc.). • Define architecture, mentor large technical teams, and engage directly with senior client stakeholders. • Own technical responses for RFI/RFP processes, partnering with More ❯

tooling. It suits someone who thrives in greenfield environments, enjoys client engagement, and values clean, scalable, well-documented engineering. Key Responsibilities: Design and build robust data pipelines using AWS (S3, Redshift, Glue, Lambda, Step Functions, DynamoDB). Deliver ETL/ELT solutions with Matillion and related tooling. Work closely with client teams to define requirements and hand over production … ready solutions. Own infrastructure and deployment via CI/CD and IaC best practices. Contribute to technical strategy and mentor junior engineers. Requirements: Strong hands-on AWS experience – S3, Redshift, Glue essential. Proven experience building ETL/ELT pipelines in cloud environments. Proficient in working with structured/unstructured data (JSON, XML, CSV, Parquet). Skilled in working with More ❯

within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control More ❯

stack consists of: Websites built 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: Interest in the Arts Strong leadership and influencing skills across all areas of a business Strong communicator who is clear and More ❯

management skills, able to upskill a small team and help them transition to more technical work. 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 one asset class. Familiarity with More ❯

Drive Engineering Excellence: Lead and manage all engineering activities across internal and external teams, ensuring high productivity and quality of execution. AWS Expertise: Strong expertise across AWS products, including S3, Glue, Spark, DBT, Terraform, and Redshift. Roadmap Prioritisation: Prioritize and manage engineering activities and personnel to deliver on a roadmap, ensuring alignment with our strategic goals as defined by … Manager: Technology Degree with at least 5 years’ experience in data Proven experience in managing engineering teams in a fast-paced environment. Knowledge of AWS services and tools, including S3, Step Functions, Spark, DBT, Terraform, and Redshift. Strong leadership and communication skills, with the ability to inspire and motivate a diverse team. Communication with stakeholders at all levels is More ❯