401 to 425 of 24,711 AWS Jobs

Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a More ❯

databases (SQL and/or NoSQL), REST APIs, and version control systems (e.g., Git). Strong problem-solving skills and attention to detail. Preferred: Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of DevOps practices and tools (CI/CD, Docker, Kubernetes). Familiarity with automated testing and test-driven development (TDD). Benefits Competitive salary and performance More ❯

For: Deep experience working on and leading major migration or modernisation projects. Strong hands-on engineering background with languages like C#/.NET, Golang, Python, or NodeJS. Cloud experience (AWS preferred; Azure experience also welcome), including serverless tech like Lambdas. Solid understanding of containerisation (Docker, Kubernetes), infrastructure as code (Terraform), and modern software design patterns. Exposure to front-end technologies More ❯

and development progress to internal and external stakeholders Essential Skills and Experience Proven experience in software development using Java, JavaScript, or Python Solid understanding of cloud computing environments, particularly AWS or Azure Practical knowledge of DevOps practices and tools, such as Jenkins, GitLab, Docker, OpenShift, or Kubernetes Experience working with relational and non-relational databases, such as SQL, Elasticsearch, or More ❯

and development progress to internal and external stakeholders Essential Skills and Experience Proven experience in software development using Java, JavaScript, or Python Solid understanding of cloud computing environments, particularly AWS or Azure Practical knowledge of DevOps practices and tools, such as Jenkins, GitLab, Docker, OpenShift, or Kubernetes Experience working with relational and non-relational databases, such as SQL, Elasticsearch, or More ❯

and development progress to internal and external stakeholders Essential Skills and Experience Proven experience in software development using Java, JavaScript, or Python Solid understanding of cloud computing environments, particularly AWS or Azure Practical knowledge of DevOps practices and tools, such as Jenkins, GitLab, Docker, OpenShift, or Kubernetes Experience working with relational and non-relational databases, such as SQL, Elasticsearch, or More ❯

either Frontend JavaScript development (ideally within the React ecosystem with strong HTML & CSS knowledge) or Backend Java Development. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Excellent communication, collaboration & problem-solving skills, ideally with some experience in agile ways of working. Security clearance: Due to the nature of our projects, you must be British for More ❯

or Context API . Experience with TypeScript and Server-Side Rendering (SSR) . Previous experience building applications with a focus on security and compliance . Understanding of cloud technologies (AWS, Azure, GCP) and containerisation (Docker). Experience working in Agile environments and collaborating closely with cross-functional teams. We’ll give you the freedom to innovate, push boundaries, and make More ❯

transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

scale extract-transform-load (ETL) pipelines. Programming : Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud- technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

or other applicable tools. Previous SCM experience, including release planning, managing software baselines, merging branches, and producing software builds Experience designing, developing and deploying software in a cloud environment (AWS is a plus). Experience developing and deploying software in a DoD environment (DISA experience is a plus), including experience building and deploying software applications that meet DoD security standards More ❯

transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract More ❯

Hybrid) London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago Greater London, England, United Kingdom 2 days ago Full Stack Engineer (React, NodeJS, GO & AWS) London, England, United Kingdom 1 month ago London, England, United Kingdom 2 months ago London, England, United Kingdom 3 hours ago London, England, United Kingdom 1 week ago Hounslow, England More ❯

platforms into software solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills More ❯

platforms into software solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills More ❯

platforms into software solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills More ❯

platforms into software solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills More ❯

required. Familiarity with Unix environment and shell scripting is required. Strong problem-solving and analytical skills Excellent written and verbal communication skills Nice to have Familiarity with cloud platforms (AWS, GCP, or Azure) Knowledge of containerization tools (e.g., Docker, Kubernetes) Experience with MVC/MVT or similar framework (e.g., Spring) Familiarity with Agile/Scrum methodologies Exposure to DevOps practices More ❯