126 to 150 of 1,904 Kubernetes Jobs

engineering best practices Experience deploying machine learning solutions into cloud-native production environments Experience with containerisation technologies such as Docker and orchestration platforms including Kubernetes Knowledge of modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure ...

improve developer productivity, platform resilience and deployment automation. Working across both Windows and Linux environments, you'll leverage technologies such as Terraform, Ansible, Docker, Kubernetes, PowerShell and modern monitoring platforms to deliver scalable and reliable solutions.Location/WFH: You'll join colleagues in brand new Central Newcastle offices ...

least one mainstream language (Python, Go, JavaScript). Solid understanding of networking fundamentals, security principles and distributed systems. Experience with containerisation and orchestration (Kubernetes, ECS). Nice to have experience with AI assisted coding tools or agentic AI. Strong leadership skills and mentorship experience Strong communication, teamwork and stakeholder collaboration ...

discuss how different languages, APIs and services integrate Strong communication and collaboration skills Desirable criteria Experience with Java or Python AWS or Azure experience Kubernetes Agile and DevSecOps environments Web security and secure coding principles Experience mentoring or leading other engineers Experience within Defence, National Security or another secure environment ...

stakeholder communication skills • Experience mentoring or supporting more junior developers Desirable: • Django REST Framework • SCSS and Bootstrap • Azure experience • Nginx • Bash scripting • PostgreSQL • Docker, Kubernetes or other containerisation technologies • Experience with CI/CD pipelines, GitHub Actions, GitOps or ArgoCD Morgan Spencer – Your Career, Our Expertise Morgan Spencer ...

Google Cloud. Infrastructure as Code Experience with one or more of: Terraform (HCL, modules, state management). Ansible (playbooks, roles, inventories, idempotency). Kubernetes deployment, cluster management, and container platform validation. CI/CD and Automation Knowledge of: Jenkins, GitLab CI, GitHub Actions, or similar CI/CD tooling. Automated ...

part of a multidisciplinary Agile development team. Desirable Experience Previous experience working within defence, aerospace, government or another security-sensitive environment. Knowledge of Kubernetes or container orchestration environments. Experience developing highly available or mission-critical software systems. Understanding of secure software development principles. Experience working on cloud-hosted or distributed ...

part of a multidisciplinary Agile development team. Desirable Experience Previous experience working within defence, aerospace, government or another security-sensitive environment. Knowledge of Kubernetes or container orchestration environments. Experience developing highly available or mission-critical software systems. Understanding of secure software development principles. Experience working on cloud-hosted or distributed ...

introducing new ideas that make a lasting difference. What we're looking for You'll have experience with most of the following: AWS Terraform Kubernetes (EKS would be advantageous) CI/CD pipelines and deployment automation Docker, containers and Linux DevSecOps, SAST/DAST and cloud security best practices Monitoring ...

Monitoring and observability tools (Grafana, Prometheus, OpenTelemetry) Event-driven architecture and messaging platforms Tools and Technology Python Golang Typescript CI/CD Docker/Kubernetes DevOps Experience A degree in Computer Science, Software Engineering, or a related field or similar work-based experience. Proven experience as a Senior Software Engineer ...

Looking ForExperience as a DevOps Engineer, with strong skills in CI/CD, containerisation, deployment technologies and cloud platforms (such as Jenkins, Kubernetes, IaC, Docker and AWS).Experience in Linux system administration or similar operating systems.Understanding of database technologies, such as SQL, Elasticsearch or MongoDB.Strong communication, collaboration and problem‐solving ...

database systems, SQL, NoSQL, data modelling, ETL pipelines, REST/gRPC APIs and microservices architectureExperience with modern cloud engineering including platforms (AWS), Docker and Kubernetes; CI/CD in GitLab (or equivalent); infrastructure-as-code (e.g. Terraform)Working knowledge of identity and access management with OIDC/SAML and Azure ...

Internal Developer Platform experience. Terraform module development and reusable automation libraries. Cloud migration and modernisation programmes. Hybrid cloud architecture and landing zone design. Kubernetes, Docker or OpenShift experience. Enterprise governance, security and compliance frameworks. Greenfield infrastructure and automation projects. Infrastructure architecture and target-state design. Qualifications Degree in Computer Science ...

Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms.Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud-native services, and infrastructure-as-code (Terraform or equivalent).Preferred QualificationsPrior experience as a tech lead or staff engineer at a SaaS or enterprise ...

Qualifications: \n \n \n Industry experience in DevOps, CI/CD, Release with automation Experience \n \n Solid Experience or certification with Containers technologies, Kubernetes, Docker EE & OpenShift to build/enhance seamless CI/CD pipeline \n \n Build and troubleshoot build issues in Java applications \n \n DevOps ...

native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines or data wrangling, gained through coursework, internships, or personal projects. ...

native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines or data wrangling, gained through coursework, internships, or personal projects. ...

Azure ML Studio. Ability to design and deploy cloud-based AI solutions.Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.Exposure to agile ...

AIML engineering in commercial settings, preferably in financial sectorExperience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists J.P. Morgan is a global ...

DroneCI.Experience with configuration as code tools like Terraform, or Cloudless.Strong knowledge of cloud platforms (AWS, Azure, GCP).Familiarity with containerization technologies (Docker, Helm/Kubernetes).Scripting skills in languages such as Python, Bash, or PowerShell.Understanding of networking, security, and system administration.What’s in it for youAt Accenture in addition ...

Azure ML Studio. Ability to design and deploy cloud-based AI solutions.Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.Exposure to agile ...

Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. ...

modern threat landscape Relevant certifications (e.g. CIAM, CISSP, CAMS, etc.) Exposure to/Understanding of DevOps tools and repositories (e.g. Git, Azure Dev Ops, Kubernetes, Docker, Jenkins, Ansible etc.) Role based access control (RBAC) design Practical experience with Linux operating systems Experience with Modern Authentication concepts e.g. Self-Service Identity ...

manual intensive tasksSolid experience with CI/CD pipelines, Jenkins and Version Control tools (GitHub, Bit Bucket, GIT)Container administration and development experience utilizing Kubernetes, Docker or similarSolid experience with Configuration Management toolsProgramming languages development experience using Python, Golang, Terraform Experience with monitoring tools such as GrafanaExperience in managing ...

Spring boot, Maven, Python)Frontend development and it’s ecosystem (JS/TS, React, Npm)Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS).Understanding of database technologies such as SQL, Elasticsearch or MongoDBStrong communication, collaboration & problem solving skills, ideally with some experience in agile ways ...