176 to 200 of 1,292 Remote AWS Jobs

frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like Pinecone or MongoDB Atlas Vector Search Solid engineering practices: TDD, CI/CD pipelines, DevOps tooling, and More ❯

frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like Pinecone or MongoDB Atlas Vector Search Solid engineering practices: TDD, CI/CD pipelines, DevOps tooling, and More ❯

years' experience working with Databricks, including Spark and Delta Lake Strong skills in Python and/or Scala for data engineering tasks Comfortable working with cloud platforms like Azure, AWS, and/or Google Cloud A problem-solving mindset and the ability to simplify complex data challenges Excellent communication skills to explain technical concepts clearly to non-technical audiences Ideally More ❯

C#) or winforms/WPF (C#) development. Our client will provide you with training into: .NET 9, WPF, MVVM, Prism, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. You will follow the firms official career progression programme. This is coupled with 18 days of More ❯

C#) or winforms/WPF (C#) development. Our client will provide you with training into: .NET 9, WPF, MVVM, Prism, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. You will follow the firms official career progression programme. This is coupled with 18 days of More ❯

ASP.NET MVC, C# and SQL Server. Our client can provide you with Greenfield project work and exposure to: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and SQL Server 2022. This is a truly amazing opportunity to work for a prestigious global brand and More ❯

Skills, Experience: Designing and developing Java backend services utilizing Spring Boot, Micronaut, and related ecosystems. Leading RESTful API development, service layers, and system integrations. Experience with cloud deployments on AWS, Azure, or GCP, including S3, EC2, and managed databases. Proficiency in SQL and NoSQL databases such as PostgreSQL, MongoDB, and Elasticsearch. Guiding CI/CD processes, managing build tooling with More ❯

SaaS environment You have an indepth knowledge of Kubernetes with hands on experience of deploying at scale You have experience of running 24x7 services in Azure (will also consider AWS or GCP experience) You have a deep understanding of cloud infrastructure and services including best practices around monitoring, scaling and security tools e.g. DataDog You have strong scripting skills with More ❯

SaaS environment You have an indepth knowledge of Kubernetes with hands on experience of deploying at scale You have experience of running 24x7 services in Azure (will also consider AWS or GCP experience) You have a deep understanding of cloud infrastructure and services including best practices around monitoring, scaling and security tools e.g. DataDog You have strong scripting skills with More ❯

knowledge of: .NET .NET Core/ASP.NET MVC, C# and MongoDB. Any experience in the following is desirable: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your More ❯

Flask or similar Python web frameworks Familiarity with functional programming Experience working with PostgreSQL or other SQL databases Knowledge of Docker and containerized environments Exposure to cloud platforms (ideally AWS ) Experience with financial operations systems More ❯

CI/CD pipelines, and automation tools like Ansible, Docker, and Kubernetes for seamless PostgreSQL deployment and management Experience in deploying and managing PostgreSQL databases on cloud platforms like AWS Knowledge of database design principles, query optimization, index management, integrity checks, statistics, and isolation levels Ability to work in a complex enterprise environment and determine the best solution required for More ❯

.NET, .NET Core/ASP.NET MVC, C# and SQL Server. You will receive training in all aspects of: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and SQL Server 2022. These .NET Developer positions come with the following benefits: 10% bonus (5% based on More ❯

evaluating new tools and approaches Preparing business cases for adopting new technology What we are looking for Background in designing complex cloud and on premise solutions Strong knowledge of AWS and or Azure, Infrastructure as Code and microservices Familiarity with TOGAF, SOLID and DRY principles Useful extras: SQL Server, CI/CD, GitHub, Agile methods, Terraform, Docker, DevOps, Cloud AI More ❯

evaluating new tools and approaches Preparing business cases for adopting new technology What we are looking for Background in designing complex cloud and on premise solutions Strong knowledge of AWS and or Azure, Infrastructure as Code and microservices Familiarity with TOGAF, SOLID and DRY principles Useful extras: SQL Server, CI/CD, GitHub, Agile methods, Terraform, Docker, DevOps, Cloud AI More ❯

Key Responsibilities Design, develop, and test secure software systems using Python + React Build and maintain APIs and data pipelines using modern architecture principles Deploy solutions to cloud environments (AWS, Azure, and private cloud) Contribute across the full software development lifecycle from requirements gathering through to delivery and support Leverage open-source libraries, GitLab CI/CD, and infrastructure-as More ❯

business and IT functions, communicating progress and managing expectations. Analyse product performance, identify areas for improvement, and drive continuous value creation. Domain Focus & Skills Cloud Product Manager Knowledge of AWS, Azure, Google Cloud (IaaS, PaaS, SaaS). Experience managing cloud adoption/migration strategies and multi-cloud governance. Familiar with DevOps/DevSecOps practices, containerisation (Kubernetes, Docker), and FinOps. Networking More ❯

Node.js frontend web application development Sever-side rendering technologies e.g. Next.js Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Who you'll be working with Working in an agile product team typically aligned to a domain boundary. This role will require you to work More ❯

Node.js frontend web application development Sever-side rendering technologies e.g. Next.js Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Who you'll be working with Working in an agile product team typically aligned to a domain boundary. This role will require you to work More ❯

or Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs. Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). More ❯

or Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs. Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). More ❯

or Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs. Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). More ❯

or Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs. Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). More ❯

Required Skills: AWS and Azure, in-depth knowledge of one is essential. Terraform or other IAC tooling. Experience with a programming language (Python, Go, TypeScript) and heavy Kubernetes - self-hosted or EKS/AKS. Linux and networking background are a big plus. Hybrid work with a central London office Staff-Level Full-Stack Software Engineer Principal Software Engineer, Nifty Gateway More ❯

and leadership to maximize AIs operational impact. Qualifications: 5+ years of software engineering experience, ideally in customer-facing or embedded roles. Strong proficiency in Python, JavaScript, and cloud platforms (AWS, Azure, Kubernetes, Terraform). Experience deploying and scaling production AI applications. Ability to explain complex technical concepts to both technical and non-technical audiences. Active TS/SCI Security Clearance More ❯