976 to 1,000 of 1,774 Permanent Kubernetes Jobs

Directed Acyclic Graphs) and their role in pipeline orchestration It would be nice if you could bring (desirables): Professional experience with PySpark, MySQL, Docker, Kubernetes Experience with best-practice pipeline orchestration software (Airflow, Dagster). Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying ...

knowledge transfer. Together well be Real team players at Realworks. In this role, you will: Work with Java 17, Tomcat, Spring Boot, Docker, and Kubernetes; Design and implement services; Respond to calamities in production; Create CI/CD pipelines to facilitate the delivery of best practices; Work in a young ...

Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration and Cross-Functional Leadership ...

field Additional European language skills (ideally German) Experience of writing test cases like unit and integration testing (Junit, Cypress etc.) Worked with OpenShift, Jenkins, Kubernetes, Oracle Cloud Additional Information We realize that managing work life balance is a challenge we all face in our daily lives and in order ...

Assist with the analysis and review of software requirements. Qualifications Experience in git and CI/CD pipelines Experience in cloud native computing (Docker, Kubernetes) Experience working on applications that leverage Service Oriented Architecture (SOA) Experience working on applications that leverage Event Driven Architecture (EDA) Experience architecting and developing large ...

every process that underpins our business, we also share that automation as open source packages which others use to drive their own operations. From Kubernetes to the kernel and everything in-between, you will be working with the latest technologies in a fast-paced engineering environment. We have fully distributed ...

real time audio systems is a strong plus Solid understanding of MLOps: experiment tracking (MLflow/W&B), model registries, containerization (Docker/Kubernetes), and CI/CD for ML Awareness of LLM specific risk: hallucination, prompt injection, data leakage, fairness, and privacy - and how to mitigate them in production ...

challenges or changes in directionThe ability to define and manage project deadlinesEffective communicationDesirableHigh level DevOps methodologies understandingKnowledge of some of the following: Ansible, OpenStack, Kubernetes, CI/CD, Docker, etc.Scripting and automationCloud administration experienceVirtualization knowledge and experienceExperience in hardware maintenance (Storage/CPU/GPU)Why work with us Competitive ...

high compliance industries (HDS, ISO 27001, SOC2, GDPR, data sovereignty) Familiarity with our stack: Ruby on Rails, Node.js, Go, Python, React, AWS, GCP, Kubernetes, PostgreSQL, Datadog, GitHub Actions French language proficiency Experience with AI augmented infrastructure tooling or ML platform operations M&A or post acquisition infrastructure integration experience What ...

operating system - Experience in external or internal customer facing, complex and large scale project management - Application modernisation patterns and strategies - Containerisation technologies (Docker, Kubernetes, ECS, EKS) - Microservices architecture design and implementation - Serverless computing and event-driven architectures - API design and management - Application refactoring and re-platforming techniques - Cloud-native development ...

operating system - Experience in external or internal customer facing, complex and large scale project management - Application modernisation patterns and strategies - Containerisation technologies (Docker, Kubernetes, ECS, EKS) - Microservices architecture design and implementation - Serverless computing and event-driven architectures - API design and management - Application refactoring and re-platforming techniques - Cloud-native development ...

modern AI/ML workflows, including LLMs, model training/serving, monitoring, MLOps, and GPU infrastructure. Expertise with cloud-native architectures, microservices, APIs, Kubernetes, IaC, observability tools, and high-performance computing. Familiarity with scientific research workflows and associated data modalities (omics, imaging, real-world data, lab-generated data) Experience translating ...

experience in a software development or platform engineering role. Infrastructure expertise: Experience operating production systems on AWS (or other cloud provider), hands-on with Kubernetes, and enough Terraform to have opinions about how to structure it. Familiarity with CI/CD pipelines and observability tooling (Prometheus, Grafana, Datadog, or similar ...

Skills Frontend: TypeScript, Vue.Js, Nuxt, Internal Design System, Stencil.Js Backend: Kotlin, Java Spring Boot, Gradle, PostgreSQL, MongoDB, Elasticsearch, RabbitMQ, Redis Platform: Google Cloud Platform, Kubernetes, Terraform, ArgoCD, Gitlab CI The AI Toolkit: We empower our devs with modern AI coding assistants and are building internal workflows and investigating as many ...

Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following: Experience with speech‐to‐text or text‐to‐speech Contributions to open‐source projects or published research ...

Familiarity with common design patterns and architectural principles, including domain-driven design (DDD), event-driven architecture (EDA), and microservices architecture. Familiarity with Java (Spring), Kubernetes, AWS, and service mesh architectures and technologies such as RESTful APIs, API design, Swagger, OpenAPI, and OAuth2. Familiarity and working experience with relational databases (e.g.MySQL ...

write our application code (there’s an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services Envoy Proxy for RPC AWS for most of our production infrastructure and GCP for most ...

write our application code (there’s an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services Envoy Proxy for RPC AWS for most of our production infrastructure and GCP for most ...

write our application code (there’s an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services Envoy Proxy for RPC AWS for most of our production infrastructure and GCP for most ...

write our application code (there’s an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services Envoy Proxy for RPC AWS for most of our production infrastructure and GCP for most ...

write our application code (there’s an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services Envoy Proxy for RPC AWS for most of our production infrastructure and GCP for most ...

write our application code (there’s an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services Envoy Proxy for RPC AWS for most of our production infrastructure and GCP for most ...

write our application code (there’s an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services Envoy Proxy for RPC AWS for most of our production infrastructure and GCP for most ...

write our application code (there’s an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services Envoy Proxy for RPC AWS for most of our production infrastructure and GCP for most ...

consistently across AWS, GCP, and OCI, including: Cloud honeypots, decoy IAM roles, and honeytoken cloud credentials/API keys Control-plane, workload, container, and Kubernetes threat detection Cross-cloud identity and access misuse detection Ensure consistent detection, deception, and response coverage across hybrid and multi-cloud environments. Automation, Agentic ...