1,051 to 1,075 of 4,107 Kubernetes Jobs

function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. Responsible AI : governance frameworks, guardrails, model ...

AWS. Experience building or maturing cloud landing zones, platform governance frameworks, and self‐service developer platforms. Deep understanding of modern cloud architectures, including containers, Kubernetes, serverless technologies, APIs, networking, security, and identity management. Strong hands‐on expertise with Infrastructure as Code, with master proficiency in Terraform. Experience developing and operating ...

understanding of Domain-Driven Design (DDD), bounded contexts, event-driven architecture and service decomposition. Experience building scalable cloud-native applications using technologies such as Kubernetes, Kafka, Redpanda, PostgreSQL and MongoDB.Experience working with AWS and/or Azure. Strong understanding of CI/CD, automated testing, observability and production operations. Experience ...

Terraform, CloudFormation or AWS CDK. Experience with monitoring and observability tools such as CloudWatch, Grafana or Prometheus. Experience with container orchestration platforms such as Kubernetes, Amazon ECS or OpenShift, including container security best practices. Understanding of networking principles and how they translate to software-defined networking in cloud environments. Experience ...

urgency, resilience, and results in a high‐performance startup environment. Passion for AI, open source, and helping customers achieve real outcomes. Nice to have Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators. Experience with MLOps, model monitoring, CI/CD, or observability. Familiarity with AWS, Azure, GCP, serverless systems ...

good enough to hand a system over on. Nice to have Automation experience: CI/CD pipelines, infrastructure as code (Terraform, Ansible), containerisation (Docker, Kubernetes) or automated signalling test frameworks. Hands-on with core MVNO vendors such as Nokia, Ericsson, Mavenir, Oracle Communications, Cisco, Summa Networks, NetNumber or XIUS. Cloud ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years ...

build services that scale, fail gracefully and recover quickly. Experience working with cloud-native infrastructure (AWS, GCP or Azure) and container orchestration (Kubernetes or equivalent). Proven ability to translate complex architectural requirements into clear, deliverable engineering plans. Strong experience in code and architecture review – giving and receiving feedback that ...

architectures, design patterns, and platform nuances. Strong experience working with cloud-based infrastructure and technologies, preferably AWS. Understating of containers (e.g., Docker), and orchestration (Kubernetes). Expert experience with testing concepts, test tools, and integrating testing and best practices in the SDLC. Strong sense of ownership, urgency, and drive. Familiarity ...

that were adopted across the team Cloud & Infrastructure: Proficiency with at least one major cloud platform (preferably Azure) Experience with containerization (Docker) and orchestration (Kubernetes) Understanding of infrastructure as code and CI/CD pipeline design Knowledge of observability: logging, metrics, tracing, and alerting strategies Experience with microservices deployment patterns ...

architectures. Strong understanding of Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks. Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms. Contributions to the AI community through publications, patents, conference presentations, research, or open-source projects. EDUCATIONBachelor's degree ...

architectures. Strong understanding of Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks. Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms. Contributions to the AI community through publications, patents, conference presentations, research, or open-source projects. EDUCATIONBachelor's degree ...

integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform). Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle ...

simple, consistent experience that lets them focus on product value Scale: Bringing Lyst to a billion requests per month, using Cloudflare, AWS and Kubernetes to run Lyst at a huge, distributed scale efficiently Monitoring and alerting: Measuring application performance and delivering insights, metrics and relevant alerts to the engineering teams ...

array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas ...

needs to evolve to meet our needs. We use ADRs as part of our decision-making process, and our architecture is microservices running on Kubernetes with heavy use of Kafka and event-driven design — a natural fit for streaming real-time market data and trade events. Partner with Compliance, Risk ...

platforms (e.g., Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector, FAISS), containerization and orchestration (Docker, Kubernetes), and distributed computing is advantageous. Architecture Design: Ability to design end-to-end Generative and Agentic AI architectures that encompass data preprocessing, model selection ...

what you build, and the kind of talent you attract Deep cloud-native expertise - hands-on mastery of AWS and/or Azure, Docker, Kubernetes/EKS, microservices architecture, and sophisticated CI/CD and deployment pipelines for large-scale application delivery Generative AI and intelligent systems experience - hands ...

About Freshfields Freshfields is a global law firm with a long history of helping clients navigate complex challenges. As technology continues to reshape the legal industry, we are investing significantly in innovation, engineering excellence and ...

Software Engineer (Mid-Level) – Bravissimo IT 37.5 hrs per week, Full Time, Hybrid (minimum 1 day per week in Leamington office) Salary: 35-50K About Bravissimo Part of Wacoal Europe Group, Bravissimo is an ...