126 to 150 of 2,067 Kubernetes Jobs

/Qualifications Scale Experience: Proven experience building and operating large‐scale distributed systems. Containerization: Strong experience running web‐scale deployments of containerized systems using Kubernetes and/or Amazon container services (ECS/EKS). Problem Solver: A proactive approach to identifying root causes, debugging complex systems, and collaborating with ...

engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists #J-18808-Ljbffr ...

security principles. Experience with configuration management and infrastructure as code tools (Ansible, Git, Vault) Knowledge of container orchestration tools, virtualisation and observability stacks e.g. Kubernetes, Grafana, Kafka, Docker, OpenStack, OLVM. Experience implementing platform and application observability solutions including monitoring, logging, tracing, alerting and telemetry. Awareness of secure software development ...

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 ...

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 ...

resiliency and security. Expertise in at least one programming language, with the ability and willingness to learn additional stacks (e.g., Java, Go, Python, Terraform, Kubernetes) as needed. Confidence using and critically evaluating agentic AI development tools; applies judgment on correctness, quality, security, and performance rather than accepting outputs at face ...

engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists #J-18808-Ljbffr ...

secrets management, policy enforcement, human‐in‐the‐loop approvals, auditability. Languages: Advanced Python plus one of Java/TypeScript/Go; containerization (Docker/K8s). Leadership & Communication Executive presence: influence C‐suite decisions with crisp, data‐backed narratives. Lead distributed teams across geographies/time zones; resolve conflicts ...

more: DevSecOps, software engineering, infrastructure engineering, cloud infrastructure. Specific technology will include: CI/CD – CircleCI, Gitlab SCM – GitHub Enterprise Docker, Kubernetes Security Automation – Trivy, Grype, Defect Dojo, Haystack Infrastructure as Code – Terraform Cloud – AWS 5+ years of relevant engineering, infrastructure, or technical program execution experience. Willingness to travel domestically ...

Boot, Hibernate/JPA and enterprise application architecture Strong understanding of distributed systems, scalability, resilience and performance tuning Experience with cloud-native applications, Docker, Kubernetes and CI/CD Strong knowledge of application security, OWASP principles and secure development practices Knowledge of a modern front-end node-based framework Other ...

Skills: AWS certification (eg, AWS Certified DevOps Engineer) is strongly preferred. Familiarity with configuration management tools (Ansible, Chef, Puppet). Experience with containerisation (Docker, Kubernetes). Knowledge of data privacy regulations and compliance. Benefits: Competitive salary, pension, and bonuses. Opportunities for continued education and career growth. We are an equal ...

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. ...

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

advantageous. Strong understanding of distributed systems, gRPC, microservices architecture, and RESTful APIs. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Solid understanding of database design, query optimization, and administration for relational (e.g. PostgreSQL) databases. Knowledge of scalability strategies, microservices architecture, load balancing, caching, and event ...

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. ...

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 ...

demonstrated ability to write clear documentation and collaborate across engineering teams. Ecosystem Knowledge : Hands‐on experience supporting software delivery and MLOps tooling (e.g., Kubernetes, Kubeflow, MLflow, Triton, Docker, or SageMaker/Azure ML). Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment ...

minimum of 3 years hands on expertise in architecting and delivering large scale distributed systems, such as cloud native microservices on Docker/Kubernetes, deployed on modern cloud platforms (AWS, Azure, or equivalent), ensuring scalability, high availability, and performance* Demonstrated success as a high impact technical advisor to multiple engineering ...

seamless integration and multi-provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud-Native Engineering Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems. Own deployment, monitoring, and troubleshooting for your ...

seamless integration and multi‐provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud‐Native Engineering: leverage containerization (Kubernetes, Docker), microservices, serverless, event‐driven architectures, CI/CD, and observability stacks to deliver scalable AI‐native systems. Own deployment, monitoring, and troubleshooting for your ...

languages, e.g. JavaScript frameworks (React, NextJS), TypeScript, Python, Java REST API development OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing and automation Testing frameworks (e.g. Mocha, Jest, Cypress) Experience working ...