101 to 125 of 376 Remote/Hybrid Microservices Jobs

Computer Science, AI, or a related field or equivalent industry experience Strong background in Python or similar languages Significant experience with backend development , microservices, and distributed systems Hands-on experience with AI/ML systems , including LLMs, RAG, or vector databases Solid understanding of containerisation and orchestration (Docker/Kubernetes ...

6+ ASP.NET Core & Web APIs Azure (App Services, Functions, Service Bus, Azure SQL) SQL Server Entity Framework Core CI/CD using Azure DevOps Microservices & event-driven architecture React exposure is a bonus, but not essential Essential Experience Strong commercial experience with C# and .NET Experience building scalable, production-ready ...

TypeScript Creating and optimising APIs using FastAPI Contributing to architectural discussions and greenfield system design Working hands-on with GCP, CI/CD pipelines, microservices & containerised deployments Collaborating in a remote-first, engineering-led environment The Tech Stack The team chooses the best tool for the job , with a strong ...

automated testing Good communication skills and a collaborative mindset Desirable: Interest in data-heavy, geospatial, or analytics-driven systems Some exposure to containers or microservices Curiosity about energy, infrastructure, or environmental data Motivation to grow into a more senior engineering role over time Why Join Bohr? At Bohr ...

testing Strong understanding of a balanced Test Pyramid with separation of unit, integration, and end-to-end tests Experience implementing QA tests within a Microservices architecture Able to describe differences and identify candidates for Unit, Integration & E2E tests Experience improving, refactoring, and rewriting tests. Experience ensuring that tests run within ...

DevOps practices Excellent problem-solving and communication skills Experience with AI/ML (image recognition, automation, pricing) is a plus Familiarity with cloud platforms, microservices, and modern architecture Proactive, solution-oriented mindset with a passion for innovation Logistics • Work Location: United Kingdom only (London preference) • Timezone: UTC (London) ± 2 hours ...

cloud platforms (AWS, Azure, Cloudflare). Proactive, curious, and collaborative, ready to take initiative and grow your expertise. Nice-to-Have: Experience with microservices or no/low-code tools like Bubble or Webflow. Interest in AI integrations or native app development. Why You'll Love It Here: Join ...

will be beneficial, as will familiarity with Entity Framework, Kibana, Grafana, test-driven development, and agile ways of working. Exposure to event-driven platforms, microservices architecture, containerisation, Kubernetes, or Microsoft Azure would be an advantage. Beyond technical skills, youll be proactive, organised, and comfortable managing competing priorities in a fast ...

experience building scalable, high-performance full-stack applications . Strong hands-on experience with React, Tailwind CSS, Node.js, and TypeScript . Solid understanding of microservices and modular architecture . APIs, Data & Integrations Strong experience with RESTful and GraphQL APIs . Hands-on experience with middleware and orchestration tools such ...

data applications with .NET and at least one JavaScript framework. - Hands-on experience with Azure or another major cloud provider, plus an understanding of microservices and event-driven architectures. - You love balancing delivery speed with technical excellence, and you’re keen to keep learning. 🎁 What We Offer Competitive salary, equity ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...