15 of 15 Permanent Amazon S3 Jobs in Central London

Deep knowledge of SQL and experience with analytical or time‐series databases (e.g. Redshift, ClickHouse, Snowflake, BigQuery). Hands‐on experience with AWS (e.g. S3, Lambda, ECS/EKS, Redshift) and modern DevOps practices, including Docker and CI/CD. Proven track record working with front‐office or desk ...

Banking/Financial services domains experience Highly Desirable Experienced with any of the following: Cloud technologies AWS modules: CloudWatch (logging), Athena, EC2, Lambda, storage (S3, EBS), databases (RDS, DynamoDB) stream-processing platform: Kafka, webhook, protos Docker and Kubernetes (nice to have ...

Data modeling Indexing strategies Performance optimization Advanced experience with Java concurrency, streams, and performance tuning Cloud & Infrastructure AWS services including EC2, ECS/EKS, S3, RDS and/or DynamoDB, and CloudWatch Docker and containerized deployments CI/CD pipelines and Git‐based workflows Experience designing systems for scalability ...

particularly Apache Airflow. Experience with model registries and experiment tracking platforms (MLflow preferred). Experience deploying and operating ML workloads on AWS (Batch, EC2, S3, IAM, CloudWatch). Solid understanding of the ML lifecycle: training, evaluation, deployment, monitoring, and retraining. Experience with containerisation (Docker) and infrastructure-as-code. Proficiency ...

configuring ALB/NLB load balancers. Deep understanding of VPN, BGP, and network peering protocols. Solid grasp of the broader ecosystem: EC2, ECS, S3, Lambda, and Config. Strong background in implementing Security Groups, NACLs, and PrivateLink. London Based - Hybrid Working | £50,000 to £70,000 *Must be SC Clearance ...

Hands-on experience deploying applications on Red Hat OpenShift and/or Kubernetes. Strong cloud experience with AWS services such as ECS, EKS, Lambda, S3, etc. Solid understanding of MongoDB and NoSQL design patterns. Prior experience in Payments Processing, financial services, or banking systems. Strong communication skills ...

integrated systems (rollups, bridges, settlement layers) Develop backend services and APIs using Node.js/Next.js Deploy and manage scalable systems on AWS (Lambda, ECS, S3, RDS, etc.) Create secure, performant systems with strong attention to key management and custody flows Collaborate with product and frontend teams to deliver seamless ...

systems using microservices architecture. Experience with Docker and containerisation principles, with practical knowledge of deploying containerised applications. Proficiency in AWS cloud services (e.g., ECS, S3, RDS, Lambda) and a solid understanding of cloud architecture. Familiarity with event-driven systems and messaging frameworks (e.g., Kafka, RabbitMQ) is a plus. Excellent ...

DevOps, or infrastructure engineering role. Strong hands-on experience with Docker and Docker Swarm in a production environment. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/Fargate, and RDS. Solid understanding of Linux server environments, command-line operations, and scripting. Experience in supporting real-time … support, DevOps, or systems engineering role. Hands-on experience with Docker, docker-compose, and container lifecycle management. Experience supporting or integrating MinIO or similar S3-compatible object storage. Technical Skills: Familiarity with advanced networking concepts and protocols (TCP/IP, DNS, DHCP, VLANs, routing, proxies, firewall configuration, etc.). ...

/CD pipelines and quality gates) 💻 The stack under test: Python microservices with Kafka React/Next.js/TanStack Query (frontend) AWS Lambda, S3, RDS/Aurora (infrastructure) Terraform-managed environments So you'll need to be comfortable with the full picture, not just the UI layer. What they ...

fast-paced environment and take ownership of features Nice to Have Development & Infrastructure Experience with Docker and containerised deployments Familiarity with AWS services (S3, EC2, ECR, Cognito) Experience working with JupyterHub, JupyterLab or Airflow APIs Experience building developer platforms or internal tooling Knowledge of SQL and/or NoSQL ...

models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3) Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering ...

settlement, operations and compliance • Maintain and extend CI/CD pipelines (GitHub Actions), container infrastructure (ECS), and deployment automation • Manage AWS infrastructure — ECS, RDS, S3, IAM, networking, and cost optimisation • Work with Infrastructure as Code (Terraform) to provision and manage cloud resources • Contribute to observability tooling (Grafana, Prometheus, OpenTelemetry … this is not a scripting-on-the-side role; you’ll be building services • Experience with cloud infrastructure (AWS preferred, Azure acceptable) — ECS, RDS, S3, IAM, VPCs • Familiarity with Infrastructure as Code (Terraform preferred) and CI/CD (GitHub Actions preferred) • Comfortable with containerisation (Docker) and Linux fundamentals • Working ...

Infrastructure Deploy and manage models using SageMaker (training, endpoints, pipelines) Leverage Bedrock for foundation model access Implement serverless inference with Lambda & API Gateway Utilise S3, Glue, Athena for data processing Implement CI/CD for ML workflows Monitor performance via CloudWatch and drift detection tooling Optimise inference cost … Statistical modelling & ML algorithms Feature engineering Experiment design & evaluation AWS ML Stack SageMaker (training, endpoints, pipelines) Bedrock (foundation models incl. Claude) Lambda (serverless inference) S3, Glue, Athena CloudWatch IAM & security best practices AI-Native Tooling Foundation models for reasoning workflows Code-generation tooling for automation scripting Agent orchestration frameworks ...

production-grade platforms. Our current stack includes: · Python/Flask backend · Jinja2 templating · Modular vanilla JavaScript (no front-end framework) · Tailwind CSS · Snowflake and S3 for data storage · PySCIP for optimisation workflows In addition to strengthening the front-end and platform layer, this role will support API integrations with … outbound data workflows. Data Collaboration – Work closely with the Data Engineering team to ensure consistent, scalable, and well-structured data pipelines between Snowflake, S3, optimisation models, and external systems. Technical Strategy – Help define when to extend our current server-rendered approach versus introducing modern front-end frameworks or additional ...