7 of 7 Permanent Serverless Jobs in Edinburgh

London Offices. You will extensive and deep expertise in following Application Development areas: Expertise in application architecture using modern technologies such as cloud native development, 12 factor apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka. Solution architect with broad expertise in wide range of digital More ❯

elegant, high-performing interfaces. Languages: full stack experience with a focus on Python and Typescript with familiarity with one of Java and Go a benefit. Infrastructure: familiarity with AWS serverless architecture and dev-ops experience. 3-6+ years of professional software development experience. Working for Opus 2 Opus 2 is a global leader in legal software and services More ❯

multiple web-based solutions Set up and maintain CI/CD pipelines for automated testing and deployment Work with a modern Front End hosting platform that supports edge functions, serverless APIs, and global CDN About the Candidate The ideal candidate will possess the following: Strong proficiency in React.js and Next.js, and experience with TypeScript and SSJS Experience with cloud More ❯

strong technical skills and solid conceptual foundations. Experience with Typescript, React, CSS, Node.js, gRPC, Kafka, Mongo DB, GraphQL. You're passionate about Distributed Software, Cloud solutions, Microservices, Domain Driven & Serverless Architectures . You are committed to building highly reliable & scalable systems. You are eager to learn, screen those learnings and apply the best suited for a bounded context. Proven More ❯

Principal Software Engineer - Snowflake page is loaded Principal Software Engineer - Snowflakeremote type: Hybridlocations: Edinburgh, GBtime type: Full timeposted on: Posted Todayjob requisition id: JR2454Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. More ❯

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the More ❯

. This will be an initial 12 month PAYE contract with strong likelihood of further extensions. In this role you will design, develop, and optimize distributed AI systems for serverless AI platforms. This will involve leveraging expertise in LLMs, and system design to build robust, scalable solutions. Responsibilities as AI Infrastructure Engineer: Design and implement scalable, distributed systems to … challenges in AI and distributed computing. Work within a larger team to rapidly develop proof-of-concept prototypes to validate research ideas and integrate them into production systems and serverless infrastructure. Work closely with cross-functional teams to participate in developing innovative AI infrastructure, data systems, and cloud computing technologies. Implement resource scheduling and orchestration mechanisms to ensure efficient … an in-depth understanding of distributed systems and/or cloud computing and/or ML systems and/or multi-agent systems. Have an in-depth understanding of serverless platforms and containerization (e.g., Docker, Kubernetes). Good programming skills, master of at least one language, such as Python, and/or C/C++. Good communication and teamwork More ❯