1,751 to 1,775 of 2,936 Containerisation Jobs

foster a collaborative, high-performing engineering culture Technology: .NET Core, SQL & React Front End Agile Methodologies QA (Manual & Automation) CI/CD Kubernetes/Containerisation Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered ...

foster a collaborative, high-performing engineering culture Technology: .NET Core, SQL & React Front End Agile Methodologies QA (Manual & Automation) CI/CD Kubernetes/Containerisation Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered ...

highly regulated industries with knowledge of relevant standards. • Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. • Familiarity with containerization and orchestration tools such as Docker and Kubernetes. • Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. • Understanding ...

highly regulated industries with knowledge of relevant standards. • Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. • Familiarity with containerization and orchestration tools such as Docker and Kubernetes. • Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. • Understanding ...

highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding ...

code reviews, guiding best practises and facilitating continuous improvement. Previously set up and implemented CI/CD pipelines and tools. Technical skills across Docker, Containerisation, React, and DevOps would all be nice to have attributes. Role: Principal Developer Salary: £68,000 - £72,000 per annum Location: Newcastle upon Tyne ...

implement new features. Contribute to technical documentation and engineering best practices. Requirements Strong experience with Node.js, TypeScript (NestJS), PostgreSQL, AWS, and Redis. Experience with containerization and orchestration using Kubernetes (K8s). Experience with various communication protocols: REST, WebSockets, Server-Sent Events (SSE), etc. Familiarity with IPFS and distributed storage systems. ...

implement new features. Contribute to technical documentation and engineering best practices. Requirements Strong experience with Node.js, TypeScript (NestJS), PostgreSQL, AWS, and Redis. Experience with containerization and orchestration using Kubernetes (K8s). Experience with various communication protocols: REST, WebSockets, Server-Sent Events (SSE), etc. Familiarity with IPFS and distributed storage systems. ...

event-driven architectures Knowledge of modern data engineering development practices Nice to have: Background in InsurTech/FinTech or regulated industries Experience with Docker , containerisation, and IaC tools Exposure to cloud-native data environments Why join? Work at the forefront of a market undergoing a "Big Bang" digital transformation Join ...

collaborating with teams to design, build, and maintain software Strong experience working in Agile environments, delivering MVPs in fortnightly sprints Hands-on experience with containerisation technologies Experience producing technical documentation throughout the SDLC Experience working with and enhancing existing codebases Proven ability to improve software resilience and stability Experience applying ...

collaborating with teams to design, build, and maintain software Strong experience working in Agile environments , delivering MVPs in fortnightly sprints Hands-on experience with containerisation technologies Experience producing technical documentation throughout the SDLC Experience working with and enhancing existing codebases Proven ability to improve software resilience and stability Experience applying ...

collaborating with teams to design, build, and maintain software Strong experience working in Agile environments , delivering MVPs in fortnightly sprints Hands-on experience with containerisation technologies Experience producing technical documentation throughout the SDLC Experience working with and enhancing existing codebases Proven ability to improve software resilience and stability Experience applying ...

collaborating with teams to design, build, and maintain software Strong experience working in Agile environments , delivering MVPs in fortnightly sprints Hands-on experience with containerisation technologies Experience producing technical documentation throughout the SDLC Experience working with and enhancing existing codebases Proven ability to improve software resilience and stability Experience applying ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...