20 of 20 Amazon S3 Jobs in the City of London

about automation, observability, and designing systems that just don’t fail , this is the perfect environment for you. Tech Stack Cloud: AWS (EC2, RDS, S3, IAM, Lambda, CloudWatch) Containerisation & Orchestration: Docker, Kubernetes (EKS) Infrastructure as Code: Terraform Configuration Management: Ansible Monitoring & Observability: Prometheus, Grafana, ELK Stack CI/ ...

design and query optimisation. Experience designing and maintaining AWS DynamoDB schemas and indexes. Familiarity with AWS services including Lambda, API Gateway, CloudFormation/CDK, S3, ECS, CloudFront, and IAM. Hands-on experience with DevOps tooling (CI/CD pipelines, infrastructure as code, environment management). Understanding of cryptographic standards ...

Strong proficiency in Python Experience developing and consuming RESTful APIs AWS & Cloud Technologies Hands-on experience with: CloudWatch EC2 Step Functions Lambda DynamoDB Athena S3 SNS & SQS Event Bridge CloudFormation Infrastructure as Code using Terraform DevOps & Version Control Deployments and version control using Git Experience working with PR-based ...

deliver reliable, scalable, and secure systems using modern DevOps and GitOps practices. Key Responsibilities Design, deploy, and operate AWS infrastructure (EC2, EKS, VPC, IAM, S3, RDS) Build and run Kubernetes (EKS) clusters and containerised workloads Define infrastructure using Terraform following IaC best practices Implement GitOps workflows (Argo ...

days a week on - site weekly ) Key Skills and Responsibilities: Design, deliver, and support secure and scalable AWS infrastructure using services like EC2, S3, ECS, and FARGATE Integrate SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) tools into CI/CD pipelines to enforce secure development ...

make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, S3, IAM, etc.) Kubernetes (building and managing production clusters) Terraform (for full IaC provisioning) Python (scripting, automation) GitHub Actions (CI/CD pipelines) Docker & Helm ...

make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python, Bash or Go (scripting, automation) GitHub Actions ...

knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please either click online or email directly to henry.clay-davies@searchability.com. For further ...

maintain and optimize a secure, scalable cloud infrastructure supporting advanced trading strategies. Responsibilities: Manage and support AWS environments using core services such as EC2, S3, and VPC. Troubleshoot and resolve complex infrastructure issues independently. Automate cloud operations using Terraform, CloudFormation, Python, and Bash. Monitor performance and costs, implementing optimizations ...

multi-model orchestration and agentic workflows. Required Skills & Experience Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). Hands-on experience with Databricks and large-scale data or embedding pipelines. Proven experience building and operating production AI systems , including RAG pipelines ...

What We’re Looking For Kubernetes: Production-grade clusters, networking, ingress, storage, RBAC, upgrades, and operations. Cloud: Deep AWS experience (EKS, IAM, VPC, EC2, S3, Load Balancing); multicloud patterns a strong plus. Infrastructure as Code: Terraform (or equivalent) for repeatable, auditable environments. CI/CD: GitHub Actions or similar ...

background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamental ...

Control Tower and Landing Zone Accelerator in multi-account environments Building and maintaining infrastructure using Terraform Designing and deploying Kubernetes platforms using Amazon EKS Defining cloud governance, security standards and compliance controls Working closely with delivery teams to optimise cloud-native application design Providing technical leadership, guidance … platforms evolve What we’re looking for Essential Strong, hands-on experience as an AWS Technical Architect Deep knowledge of AWS services including EC2, S3, VPC, IAM, Lambda, RDS, CloudFormation and CloudWatch Proven experience implementing AWS Control Tower and Landing Zone Accelerator Expert-level Terraform experience in production environments ...

providing technical leadership (formally or informally) Tech stack Java & Kotlin (More Serverside Kotlin, the better!) Spring Boot Kafka AWS (ECS/EKS, Lambda, S3, etc.) Microservices & event-driven architecture What we’re looking for 8+ years of commercial software engineering experience Strong background in Java , with exposure ...

payment processing and subscription management (Stripe) Design and manage user databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application ...

Configuration and Automation of business workflow tooling e.g. within Jira; experience with a range of Database and Storage technologies e.g. Elastic, Mongo, Cassandra, Redis, S3 Nice to have requirements: PyTorch, Artificial Intelligence(AI), Machine Learning(ML), Natural Language Processing(NLP), Data Handling, Large Language Model(LLM), Atlassian Suite, GitHub ...

data architecture as they expand. Specifically, you can expect to be involved in the following: Technical tasks: Building real-time streaming pipelines using AWS (S3, PostgreSQL) , with a focus on scalability and performance. Other key responsibilities: Maintaining internal systems, choosing modern data tools, and ensuring seamless collaboration with ...

familiarity with multi-drop, time windows, packing rules. Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts. Cloud & delivery awareness: AWS (S3, ECS/Lambda, SNS/SQS), Docker, CI/CD (GitHub Actions), SQL/Postgres. TypeScript fluency: Able to read TS and collaborate … data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process 30-min intro (role, your goals) Python ...

recommendation components Develop high-performance APIs supporting semantic search, clustering insights, and protocol-generation features Deploy, operate, and maintain cloud infrastructure on AWS (EC2, S3, RDS/Postgres, OpenSearch) Build robust, scalable ingestion pipelines for clinical and scientific data sourcesx` Shape and evolve data models spanning structured data, unstructured … frameworks such as FastAPI, Flask, or equivalent Solid understanding of Postgres and relational data modelling (schemas, indexing, migrations) Practical AWS experience, including EC2, S3, IAM, and networking fundamentals Fluency with Docker and Docker Compose A few important notes You don't need to come from health tech or life ...

Role : Data Engineer - Machine Learning Location : London Contract Role Job Description – Skills • Redis cluster setup • Kafka/Flink streaming pipelines • S3 Data pipeline • Real-time micro batches implementation (5 minutes, hourly, daily) • Mongo/Atlas as alternative implementation (we might land with S3 instead) • SageMaker MLOps/SageMaker ...