1 to 25 of 33 Permanent Amazon EC2 Jobs in London

.Cloud Platforms (AWS/Azure/GCP )Working knowledge of at least one major cloud platform, with willingness to work across all three :AWS — EC2, S3, RDS (PostgreSQL), ElastiCache, CloudFront, Route 53, SQS, IAM, CloudWatch .Azure — Container Apps/AKS, Blob Storage, Database for PostgreSQL, Cache for Redis ...

.Cloud Platforms (AWS/Azure/GCP )Working knowledge of at least one major cloud platform, with willingness to work across all three :AWS — EC2, S3, RDS (PostgreSQL), ElastiCache, CloudFront, Route 53, SQS, IAM, CloudWatch .Azure — Container Apps/AKS, Blob Storage, Database for PostgreSQL, Cache for Redis ...

cost allocation models Implement rightsizing and automation policies About You 5+ years' experience in DevOps/Cloud Engineering Strong AWS expertise (VPC, IAM, EC2, RDS, EKS, Lambda) Proven Infrastructure-as-Code experience (Terraform preferred) CI/CD tooling experience (GitHub Actions, GitLab CI, Jenkins) Experience operating production SaaS environments ...

standards Knowledge of REST APIs and cloud integrations Exposure to multi-cloud environments including Azure and Oracle Cloud preferred Experience with AWS services including EC2, S3, Lambda, VPC, and IAM Experience with CI/CD and automation platforms such as GitHub Actions and Azure DevOps Exposure to Azure services ...

working in Agile/iterative delivery environments Solid understanding of data modelling techniques and data structures Hands-on experience with AWS cloud services, particularly: EC2, RDS, Lambda, Athena, Glue Expertise in relational and/or NoSQL databases, including performance tuning Proficiency in Python or similar programming/scripting languages ...

role You'll own features end-to-end: from code to production deployment. That means full DevOps ownership: CI/CD pipelines, Docker, AWS (EC2, S3, Lambda), infrastructure as code. You've set up and managed real production environments, not just deployed to a hosting service. You'll work ...

platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS) , including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes , ensuring seamless orchestration, scaling … performance optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS) , including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud ...

platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling … performance optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud ...

scale operations What we’re looking for Strong experience building and running production systems on AWS Deep familiarity with services like Lambda, DynamoDB, S3, EC2, SQS, EventBridge, CloudWatch, and Route 53 Excellent Python skills, plus experience with Go for high-performance tooling or services Experience with infrastructure-as-code ...

years' experience in data architecture within complex, secure environments Strong experience designing large-scale, cloud-based data platforms Deep expertise in AWS services, including EC2, S3, RDS, Lambda, Redshift Proven experience with Apache Flink and real-time streaming architectures Strong background in: Data modelling ETL/ELT processes Data ...

experience in data architecture, with a focus on secure, large-scale, and complex projects Extensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands-on experience with ...

software architecture and high-quality engineering principles. Experience developing applications in Python. Experience with cloud and infrastructure technologies, particularly AWS, including services such as EC2, EKS and S3. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Strong Linux experience. Experience working with distributed systems or globally ...

software architecture and high-quality engineering principles. Experience developing applications in Python. Experience with cloud and infrastructure technologies, particularly AWS, including services such as EC2, EKS and S3. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Strong Linux experience. Experience working with distributed systems or globally ...

Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid understanding of prompt ...

model performance and user behavior. Utilise our extensive data infrastructure to uncover insights that drive the AI product roadmap forward. Tech Stack Includes : AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, QuickSight Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools Databases & Search: MySQL, PostgreSQL, SOLR Requirements Experience ...

experience with some of the following, or be open to learning: JavaScript: React, Node, Jest, Cypress Ruby (non-Rails environment) – nice to have AWS: EC2, ECS, Lambda, S3, SQS Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues ...

initiative when remote. UK based and required to work in London 2 days per week Nice-to-haves Experience developing against AWS services – ECS, EC2 and RDS in particular. Experience managing cloud infrastructure via configuration-as-code. Front end development experience - HTML, CSS and Javascript. Experience with gRPC, GraphQL ...

Data engineering at scale in government or similarly complex domains, including performance tuning and data‐quality management · Hands‐on expertise in AWS & Spark: Amazon EMR, S3, Lambda; strong PySpark/Python and SQL for large‐scale batch processing. · CI/CD & DevOps: pipelines and IaC (e.g., Terraform), automated … developers and validate end‐to‐end data flows. Required Skills: • Informatica experience • Data project experience • AWS • Azure Desirable Skills: · AWS ecosystem depth (Athena, Redshift, EC2, CloudWatch, IAM) and event‐driven patterns. · AWS Certified Cloud Practitioner (or higher), Azure AI Fundamentals (awareness of ML/AI services). ...

handle server-side logic and integrate with databases and external services. Design, implement, and deploy cloud-based applications on AWS, including services like EC2, Lambda, and S3. Collaborate with design and product teams to translate user needs into functional, high-performance features. Please get in touch to know more. ...

Server and PostgreSQL environments. 🔧 Key Responsibilities Design and deliver scalable database solutions (SQL Server, PostgreSQL, DynamoDB) Lead migrations of MS SQL Server on EC2 to AWS RDS Build and manage data pipelines Drive performance tuning, query optimisation, and indexing strategies Collaborate across engineering teams to embed robust database architecture ...

feature inputs. Develop incident response procedures and runbooks for ML system failures. Infrastructure & Cost Optimisation Manage and optimise AWS compute resources (Batch, EC2, or similar) used for model training and inference. Design infrastructure-as-code solutions for reproducible ML environments. Drive cost optimisation across ML compute, storage, and data … tools, 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. ...

Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what’s possible through expert-led technology and consulting. Across both ...

Data Science - Assistant Manager £60,000 to 75,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Data Scientist - Associate Manager Locations: London or Manchester (Hybrid) Salary: Up to £75 ...

other related field Minimum 1 year working experience in Information Security, with proven focus in Cloud Security Deep technical knowledge of Amazon Web Services (AWS). Expertise in Microsoft … Azure and Oracle Cloud will be considered an advantage Hands-on experience on AWS services such as IAM, Organizations, SSO, VPC, Transit Gateway, S3, EC2, RDS, ELB, CloudTrail, Config, Inspector, GuardDuty, WAF, etc Clear understanding of current threats to Cloud infrastructure and advanced knowledge of securing such environments Experience ...

Data Architect £75,000 to 95,000 GBP Car Allowance Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Data Architect - Manager Level London, Bristol or Manchester (Hybrid) £75,000 - £95,000 base ...