multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
London, England, United Kingdom Hybrid / WFH Options
Replika
cloud and hybrid infrastructure including AWS, GCP, and on-premises environments. Experience with MLOps tooling such as MLFlow, Kubeflow, DataRobot, or similar platforms for ML lifecycle management. Experience with containerization and orchestration (Docker, Kubernetes) specifically for ML workloads and GPU clusters. Deep understanding of CI/CD pipelines for machine learning applications and model deployment automation. Experience with specialized monitoring More ❯
continuous delivery Collaborate closely with operations to ensure high availability and performance of applications Core Technologies: Python (Django, FastAPI, Flask), Node.js Relational and non-relational databases (e.g. SQL, MongoDB) Containerisation with Docker, Git, CI/CD pipelines Cloud orchestration tools such as Kubernetes and Terraform We are looking for someone with: Strong experience in production-level Python development A background More ❯
The ideal candidate will be responsible for defining API specifications, integrating APIs with various services, and ensuring high availability and performance. This role requires strong experience in API security, containerisation, and Agile methodologies. Roles and Responsibilities Design, develop, and maintain high-quality API services, primarily HTTP REST-based. Define API specifications using OpenAPI and other industry standards. Develop APIs to More ❯
tools, and best practices. You are proficient in cloud platforms (Google Cloud Platform is preferred), infrastructure-as-code tools like Terraform. You have experience with CI/CD pipelines, containerization technologies (e.g., Docker), and orchestration tools (e.g., Kubernetes) and using orchestration tools such as Kubeflow (our preferred tool) or similar frameworks like Apache Airflow to manage and automate ML workflows. More ❯
explain technical concepts to both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role More ❯
web frameworks like FastAPI or Django. Proficiency in modern frontend development using TypeScript and frameworks such as Nuxt.js , Vue.js, or React. Strong experience with cloud platforms, particularly GCP , and containerization technologies like Docker . Proven experience designing and working with microservices architectures and RESTful APIs. Hands-on experience with CI/CD pipelines , especially GitHub Actions . Familiarity with databases More ❯
web frameworks like FastAPI or Django. Proficiency in modern frontend development using TypeScript and frameworks such as Nuxt.js , Vue.js, or React. Strong experience with cloud platforms, particularly GCP , and containerization technologies like Docker . Proven experience designing and working with microservices architectures and RESTful APIs. Hands-on experience with CI/CD pipelines , especially GitHub Actions . Familiarity with databases More ❯
Front-end: Angular, TypeScript Back-end: Java, Python, Spring Boot Database: MongoDB, PL/SQL,NOSQL API Development: RESTful APIs Version Control: Git CI/CD: TeamCity Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana, ELK Stack) Security and Compliance Code Quality Tools (e.g., SonarQube) Agile Methodologies (Scrum or Kanban) Soft Skills: Team Collaboration : Ability to work effectively with More ❯
London, England, United Kingdom Hybrid / WFH Options
NEAR
throughput in high-frequency, low-latency real-time systems. Excellent problem-solving skills with the ability to think critically about complex challenges and drive technical solutions forward. Experience with containerization (Docker/Kubernetes) and deploying scalable, high-performance trading systems in cloud environments (AWS). COMPENSATION & PERKS Full-time salary based on experience and meaningful equity in an industry-leading More ❯
skills and ability to collaborate effectively with cross-functional teams. Desirable Skills • Experience with GCP and managing GKE Kubernetes clusters. • Familiarity with Argo CD for continuous delivery. • Knowledge of containerisation technologies such as Docker. • Understanding of cloud security best practices and identity management. Benefits of working at Canada Life We believe in recognising and rewarding our people, so we offer More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
