876 to 900 of 6,545 Remote AWS Jobs

formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you More ❯

formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you More ❯

formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you More ❯

formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you More ❯

will include multiple aspects of our multi-service platform, from AuthN to Data Integration and flow orchestration. The broader application stack includes Python, FastAPI, Postgres, Github, Kubernetes, Helm, Terraform, AWS, GCP, Azure and other technologies. A day in the life of the role: Collaborate closely with product managers, team leads and other senior engineers to understand the needs and requirements … role, with exposure to deploying machine learning models into production. Demonstrably strong Python skills with experience in distributed systems. Strong knowledge and experience with Cloud Native Infrastructure (GCP, Azure, AWS) with demonstrable skills in using and managing Kubernetes clusters. Good knowledge of DevOps tools and technologies, such as Helm, Docker, Terraform and CI/CD pipelines (GitHub Actions). Knowledge More ❯

using C#/.Net Core and frameworks like Blazor, Angular 2+, or React. Experience building REST APIs and messaging systems. Experience developing applications for cloud platforms such as Azure, AWS, or GCP. Knowledge of data modeling and database interactions. Experience creating user-facing web applications. Skills we'd love to see/Amazing Extras: Experience with Docker, Kubernetes, or other More ❯

years' experience in software engineering, with technical leadership across teams or departments *Strong architecture and system design background in distributed, event-driven systems *Experience in cloud platforms (GCP preferred, AWS and/or Azure also welcome) and containerisation (Docker, Kubernetes) *Proficiency in Python (important), with exposure to Java, Kotlin, TypeScript, and ML frameworks like PyTorch *Ability to influence large-scale More ❯

source libraries and components. Using tools such as GitLab to build continuous integration pipelines to monitor and ensure software quality and security. Deploying software systems to environments including public (AWS and Azure) and private clouds. Full Software Lifecycle involvement: Project concept formalization Requirement analysis and specification Software architecture design Software implementation and delivery Software training and support Software lifecycle and More ❯

libraries and components. Utilizing tools such as GitLab to build continuous integration pipelines to monitor and ensure software quality and security. Deploying software systems to various environments, including public (AWS and Azure) and private cloud. Full Software Lifecycle involvement: Project concept formalization Requirement analysis and specification Software architecture design Software implementation and delivery Software training and support Software lifecycle management More ❯

as a cloud-native pioneer, we have a proven track record in helping organizations leverage public cloud for quick wins, savings, and sustainable value. We are triple-certified across AWS, Azure, and Google Cloud, with over 1,300 employees across 10 European hubs, delivering over 1,000 successful cloud projects for companies of all sizes. Our expertise guides best practices More ❯

with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least one programming language such as More ❯

/TypeScript frameworks (such as Angular or React), SQL/NOSQL database development, and automated unit/integration testing Experience developing applications for cloud computing infrastructures such as Azure, AWS, or GCP, including modern cloud CI/CD practices Good communication skills, with the ability to convey complex technical concepts clearly and concisely Behaviours We'll assess you against these More ❯

the entire Linux stack, from kernel, networking, storage, to applications, Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark, Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud), Collect customer business requirements and advise them on Ubuntu and relevant open source applications, Grow a healthy, collaborative engineering culture in line with the company values, Deliver … in continuous learning and development, Practical knowledge of Linux, virtualization, containers and networking, Business-minded technology thinker and problem solver, Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP, Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics, Intermediate level Python programming skills, Passion for technology evidenced by personal projects More ❯

Scala/Shell scripting Team ️ Our Tech Stack We build with the tools we love (and we love good tools): TypeScript, Node.js, React, Python, SQL, Scala, Java, Docker, Kubernetes, AWS, GCP, C++, GitHub , and the occasional caffeine-fueled whiteboard sketch. And we're not afraid to throw something out if there's a better way. Check out our open source More ❯

Scala/Shell scripting Team ️ Our Tech Stack We build with the tools we love (and we love good tools): TypeScript, Node.js, React, Python, SQL, Scala, Java, Docker, Kubernetes, AWS, GCP, C++, GitHub , and the occasional caffeine-fueled whiteboard sketch. And we're not afraid to throw something out if there's a better way. Check out our open source More ❯

Scala/Shell scripting Team ️ Our Tech Stack We build with the tools we love (and we love good tools): TypeScript, Node.js, React, Python, SQL, Scala, Java, Docker, Kubernetes, AWS, GCP, C++, GitHub , and the occasional caffeine-fueled whiteboard sketch. And we're not afraid to throw something out if there's a better way. Check out our open source More ❯

Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services (e.g., AWS, GCP, Azure) for model deployment and data management. Strong verbal and written communication skills for both technical and non-technical audiences. A strong team player with the ability to collaborate More ❯

Use tools such as GitLab to build continuous integration pipelines, which help monitor and ensure software quality and security. Deploy software systems to a mixture of environments including public (AWS and Azure) and private cloud. Full Software Lifecycle involvement: Project concept formalization Requirement’s analysis and specification Software architecture design Software implementation and delivery Software training and support Software life More ❯

Use tools such as GitLab to build continuous integration pipelines, which help monitor and ensure software quality and security. Deploy software systems to a mixture of environments including public (AWS and Azure) and private cloud. Full Software Lifecycle involvement: Project concept formalization Requirement’s analysis and specification Software architecture design Software implementation and delivery Software training and support Software life More ❯

Use tools such as GitLab to build continuous integration pipelines, which help monitor and ensure software quality and security. Deploy software systems to a mixture of environments including public (AWS and Azure) and private cloud. Full Software Lifecycle involvement: Project concept formalization Requirement’s analysis and specification Software architecture design Software implementation and delivery Software training and support Software life More ❯

and communication - able to break down complex problems, describe technical trade-offs, and collaborate with cross-functional partners (e.g. technical program managers, product managers) Bonus: Experience using Python and AWS in a production environment Bonus: experience with payments/financial software and/or experience with microservice/serverless architecture Compensation At GiveDirectly, we strive to pay our employees generously More ❯

C#/.Net Core and either Blazor, Angular 2+ or React frameworks. Experience of building Rest APIs and messaging. Experience building applications for the cloud such as Azure (pref.), AWS or GCP Know how to build REST APIs and have experience of messaging Worked with defining data models and interacting with databases Built software that includes user facing web applications. More ❯

s degree in Computer Science, Engineering, or related field, or equivalent practical experience Proven experience as a software developer Strong proficiency in Go programming and microservices architecture Experience with AWS and containerization technologies (e.g., Docker, Kubernetes) Familiarity with CI/CD pipelines and version control systems (e.g., Git) Excellent problem-solving skills and attention to detail Strong communication and teamwork More ❯

structures and algorithms Experience with Database (design principles) Working experience with testing and quality Knowledge of Version control Nice to haves Experience with Golang Knowledge of Cloud technologies (GCP, AWS, or Azure) Agile software development Microservices architecture Containerisation (Docker, KVM, Kubernetes, etc) Knowledge of CI/CD Benefits Flexible Working Hours & Remote-First Environment — Work when and where you’re More ❯

Spring; At least 1-2 years in Team Lead position and team management Micro-service expertise Commercial experience with relational database Recent real experience with Concurrency util Experience with AWS (S3 preferable) Container experience Experience with CI/CD K8s experience Experience with unit testing English: Upper-intermediate at least (both spoken and written) Bonus points Experience building systems requiring More ❯