1,226 to 1,250 of 4,580 Kubernetes Jobs

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. EDUCATION Bachelor ...

welcome — not just using these, but building reusable components and templates for others Experience with infrastructure-as-code (Terraform, Pulumi, CloudFormation) and container orchestration (Kubernetes, ECS) Understanding of AI-native SDLC practices and how to encode them into platform tooling (automated quality gates, agent-triggered workflows, prompt-aware build steps ...

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 ...

database technologies including Oracle Exadata at scale, MongoDB, Elasticsearch, or similar data platforms. Solid Cloud and DevOps knowledge, including Linux/Unix, OpenShift/Kubernetes, and Ansible. Experience building and supporting reactive, event-sourced systems. Hands-on experience with Apache Spark and Apache Flink. Strong understanding of Apache HTTP, Envoy ...

frontend and backend development – enough to lead by example and contribute to technical decisions. Experience with our core stack — a Java Spring Boot, AWS, Kubernetes and Kafka back end, with a TypeScript/React front end. Experience designing and building services within a microservices or domain‐driven architecture — defining service ...

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 ...

seek: 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience. Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.). Strong experience with technical leadership, leading ...

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 ...

seek: 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience. Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.). Strong experience with technical leadership, leading ...

seek: 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience. Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.). Strong experience with technical leadership, leading ...