2,076 to 2,100 of 2,429 Kubernetes Jobs

Python, Java, AWS Infrastructure, Linux, Kubernetes, Hadoop, CI/CD , Big Data Platform, Agile, JIRA, Confluence, Github, Gitlab, puppet, ansible, maven, virtualization, ovirt, proxmox, vmware, Shell/Bash scripting Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. Required: Must be a US Citizen. Must have … in Platform Engineering or Software Development using Python or Java. Possess solid understanding of Linux systems, hosts, networks, security, applications and proficiency in Shell/Bash scripting. Experience with Kubernetes (or vendor flavors of Kubernetes). Experience developing infrastructure in AWS. These Qualifications Would be Nice to Have: Bachelor's or Masters degree in computer science or related discipline from More ❯

with tools such as: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana or HashiCorp Vault Experience with securing applications, services, and data, including authentication, authorization, TLS, and encryption Exposure to Kubernetes (administering, deploying, or developing apps on K8s clusters) Understanding of compliance and system hardening in regulated environments (e.g., HIPAA, PCI-DSS, SOC 2) Experience running Windows Server in production Knowledge More ❯

too. What you'll need A software engineer within the field of SRE with exceptional understanding of SRE & DevOps and can explain in critical detail to your mentees Production Kubernetes experience and debugging all services that run within the K8s ecosystem, including Istio service mesh SRE mentality (SLI, SLO & SLA) using Observability, Logging, Monitoring & Alerting (Dynatrace) Ideally coming from a More ❯

Flask? Data engineering What are best practices in pre-processing textual content during ingestion phase? Any experience of using NLP algorithms for pre-processing raw text content? Docker/Kubernetes What are few proven docker images inspection methods? Any experience of popular known deployment methods on k8s cluster? Gitops/Git/Jenkins Any experience using gitops pipeline? Nice to More ❯

Deep understanding of TypeScript. Familiarity with OpenAI APIs. Experience with Hasura, Pinecone DB, Postgres, and Vue.js. Hands-on experience with cloud technologies (Google Cloud or AWS). Experience with Kubernetes and containerization. Our Tech Stack Languages & Frameworks: TypeScript, Vue.js, Node.js Infrastructure & Cloud: Google Cloud (Pub/Sub, Postgres, Kubernetes, Scheduler, Redis) DevOps & Tools: Docker, Docker Compose APIs & Integrations: Salesforce, Slack More ❯

working with Contentful CMS to develop content models and integrate with content/asset delivery APIs. Experience developing client and server-side web applications using technologies such as AWS, Kubernetes, Docker, Lambdas, TypeScript, Next.js, Node.js, and React. Salary $150,000 per year Requirements Experience developing client and server-side web applications using technologies such as AWS, Kubernetes, Docker, Lambdas, TypeScript More ❯

shops, focused around AWS services, building out infrastructure with Terraform and creating CI/CD pipelines with Jenkins or GitHub Actions. Depending on the project, some will focus on Kubernetes, which will take your knowledge to the very next level based on the fact that this is one of the largest scale Kubernetes implementations in the country. Some projects may More ❯

In this role, you will be responsible for a variety of tasks, including: Load analysis Query optimization Role management Experience with modern cloud infrastructure, such as GCP/AWS, Kubernetes, and Docker Proficiency in Unix systems, ideally Linux (Ubuntu) Strong communication skills and experience mentoring engineers Responsibilities Your main responsibilities will involve working on: Data pipeline and underlying infrastructure, especially … Apache Kafka and PostgreSQL database Technologies like Kubernetes, Vault, Go microservices, and other cloud services On-premise infrastructure Your technical expertise will play a crucial role in these areas. More ❯

to or interest in the cryptocurrency technology ecosystem Experience mentoring other engineers, leading cross-team projects, and driving design and technology decisions is a plus Experience with Terraform and Kubernetes is a plus! A genuine excitement for significantly scaling large data systems Technologies we use (experience not required): AWS serverless architectures Kubernetes Spark Flink Databricks Parquet. Iceberg, Delta lake, Paimon More ❯

to or interest in the cryptocurrency technology ecosystem Experience mentoring other engineers, leading cross-team projects, and driving design and technology decisions is a plus Experience with Terraform and Kubernetes is a plus! A genuine excitement for significantly scaling large data systems Technologies we use (experience not required): AWS serverless architectures Kubernetes Spark Flink Databricks Parquet. Iceberg, Delta lake, Paimon More ❯

/CD platforms in a hybrid work environment. Key Responsibilities Develop and maintain automation scripts and pipelines. Support, build, and optimize Jenkins pipelines. Contribute to containerization and orchestration using Kubernetes and Docker. Collaborate with development and infrastructure teams to improve deployment processes. Manage and improve infrastructure-as-code with Ansible. Develop and integrate APIs as required. Required Technical Skills Shell … scripting ( preferred ) Python ( preferred ) Ansible Jenkins pipeline and scripting Automation and process improvement experience Kubernetes Docker API development and integration More ❯

environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4. Support the migration of legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration. Implement and manage configuration objects, service data, and translation objects within SAS environments. Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD … and user support. SAS Data Integration Studio (DI) - job development and deployment. SAS Studio - job development and deployment. SAS Viya 3.5/Viya 4 - platform configuration, migration, and containerisation (Kubernetes). SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - dashboard and investigation tool support. Oracle - integration and data pipeline support. Configuration Management - experience managing service objects, deployment artefacts, and … environment baselines. Testing Lifecycle Knowledge - including test strategy design, environment comparison utilities, and automated testing integration. Desirable Attributes: Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary More ❯

environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4. Support the migration of legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration. Implement and manage configuration objects, service data, and translation objects within SAS environments. Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD … and user support. SAS Data Integration Studio (DI) - job development and deployment. SAS Studio - job development and deployment. SAS Viya 3.5/Viya 4 - platform configuration, migration, and containerisation (Kubernetes). SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - dashboard and investigation tool support. Oracle - integration and data pipeline support. Configuration Management - experience managing service objects, deployment artefacts, and … environment baselines. Testing Lifecycle Knowledge - including test strategy design, environment comparison utilities, and automated testing integration. Desirable Attributes: Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary More ❯

SUMMARY OF ESSENTIAL JOB FUNCTIONS: Creation and sustainment of Kubernetes clusters Installation, Configuration, testing, and sustainment of DevSecOps tolls Integration and automation of the DevSecOps tools to enable CI/CD Implementing automation in cluster and tool creation Implementing process and procedures for utilizing the DevSecOps Pipeline Maintenance of the DevSecOps pipeline to ensure availability to the software developers Rapid … experience deploying and maintaining VMWare Tanzu clusters Experience with containerization and microservices Experience of CI/CD pipelines, DevOps practices, and infrastructure as code (IAC) principles Experience working with Kubernetes Ability to recommend, configure, and maintain DevSecOps pipeline tools and environments, including OpenShift Experience with transitioning from traditional on-premise development environment to a cloud environment Cloud architecture experience, with … microservices architecture and expertise with specifying the inputs, outputs and service roles within the architecture Software engineering experience in an OpenShift RedHat environment In-depth knowledge of containers and Kubernetes More ❯

environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4. Support the migration of Legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration. Implement and manage configuration objects, service data, and translation objects within SAS environments. Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD … and user support. SAS Data Integration Studio (DI) - job development and deployment. SAS Studio - job development and deployment. SAS Viya 3.5/Viya 4 - platform configuration, migration, and containerisation (Kubernetes). SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - dashboard and investigation tool support. Oracle - integration and data pipeline support. Configuration Management - experience managing service objects, deployment artefacts, and … environment baselines. Testing Lifecycle Knowledge - including test strategy design, environment comparison utilities, and automated testing integration. Desirable Attributes: Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary More ❯

Data Analytics are looking for a DevOps & Infrastructure Engineer. Wide variety of technology and cloud providers, including (but not limited to): AWS for most of their own internal projects Kubernetes, Helm and Docker for deployment of services GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts Terraform and Ansible for infrastructure as code Postgres … infrastructure supporting our various projects, primarily on AWS Deployment of new cloud infrastructure using Terraform and Terragrunt. Development of CICD pipelines (Gitlab CI) for deployment of our microservices to Kubernetes (EKS) clusters using Istio, Docker, Helm, Python and Bash scripting. Supporting developers and other engineers with any pipeline issues. General management and operations of GitLab source control system. Monitoring and More ❯

Data Analytics are looking for a DevOps & Infrastructure Engineer. Wide variety of technology and cloud providers, including (but not limited to): AWS for most of their own internal projects Kubernetes, Helm and Docker for deployment of services GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts Terraform and Ansible for infrastructure as code Postgres … infrastructure supporting our various projects, primarily on AWS Deployment of new cloud infrastructure using Terraform and Terragrunt. Development of CICD pipelines (Gitlab CI) for deployment of our microservices to Kubernetes (EKS) clusters using Istio, Docker, Helm, Python and Bash scripting. Supporting developers and other engineers with any pipeline issues. General management and operations of GitLab source control system. Monitoring and More ❯

environment. Contribute to applications specifically designed for standalone deployments. Leverage Infrastructure as Code to ensure repeatable deployment of resources. Contribute to the architecture, design, and implementation of the platform (Kubernetes). Provide technical solutions and perform analysis of network and storage components of the platform. Requirements TS/SCI w/Polygraph Clearance Required Qualifications Experience building distributed systems. Experience … performing application, network, and infrastructure monitoring and analysis. Familiarity with open source tools such as Istio, Keycloak, Nginx, Prometheus, Grafana, Accumulo, and Elasticsearch. Experience with administering Kubernetes clusters including deploying and configuring operators and helm charts. Experience with one or more of the following programming languages: Go, Java, Javascript, Kotlin, Python, Typescript. More ❯

environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4. Support the migration of legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration. Implement and manage configuration objects, service data, and translation objects within SAS environments. Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD … and user support. SAS Data Integration Studio (DI) – job development and deployment. SAS Studio – job development and deployment. SAS Viya 3.5/Viya 4 – platform configuration, migration, and containerisation (Kubernetes). SAS Visual Analytics (VA) and SAS Visual Investigator (VI) – dashboard and investigation tool support. Oracle – integration and data pipeline support. Configuration Management – experience managing service objects, deployment artefacts, and … environment baselines. Testing Lifecycle Knowledge – including test strategy design, environment comparison utilities, and automated testing integration. Desirable Attributes: Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary More ❯

cloud environment. Mentor DevOps and engineering team members. Build multi-regional and multi-AZ AWS based services. Build and maintain robust, secure, and scalable platforms using technologies such as Kubernetes, Docker, Ansible, Terraform, and Rancher in a hybrid cloud environment About you 6+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering roles. Proven experience leading teams or … mentoring engineers in a technical capacity. Strong understanding of a wide range of AWS technologies. Strong Kubernetes (multi-cluster, production-grade environments) Strong experience with Ansible, Terraform, and Rancher. Proficient with Docker and container-based design/deployment strategies. Ability to rapidly prototype within the AWS cloud. Strong capability with Linux, load balancing and system and application security. Good working … interest in operational excellence and improvement. Prior experience in developing processes and clear, concise documentation. Demonstrated ability in monitoring, metrics and system observability. What will give you the edge: Kubernetes Kubestronaut (or equivalent experience) AWS Certified Solutions Architect - Professional Prior experience in the domain name industry, particularly Registry experience Previous experience in data analytics/Business Intelligence technologies, such as More ❯

environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4. Support the migration of legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration. Implement and manage configuration objects, service data, and translation objects within SAS environments. Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD … and user support. SAS Data Integration Studio (DI) – job development and deployment. SAS Studio – job development and deployment. SAS Viya 3.5/Viya 4 – platform configuration, migration, and containerisation (Kubernetes). SAS Visual Analytics (VA) and SAS Visual Investigator (VI) – dashboard and investigation tool support. Oracle – integration and data pipeline support. Configuration Management – experience managing service objects, deployment artefacts, and … environment baselines. Testing Lifecycle Knowledge – including test strategy design, environment comparison utilities, and automated testing integration. Desirable Attributes: Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary More ❯

Manager in the release planning, by identifying deployment steps and other activities that must be undertaken prior and post deployment; - Responsible for developing and supporting container-based solutions using Kubernetes/Docker for Azure Cloud. What we need from you: You must bring at least 5 years experience in: - Azure Cloud - IaC (Terraform) - Build and management of Kubernetes environments - Azure More ❯

of Product to scale Jupiter's marketplace Own key backend systems end-to-end, from design to deployment Deploy and monitor backend services in cloud environments (GCP) using Docker, Kubernetes, and Terraform Take product requirements (we use Linear) and turn them into technical solutions Design and implement backend services using Kotlin, Micronaut, and Spring frameworks Create RESTful APIs to expose … experience with relational (PostgreSQL) and NoSQL (Elasticsearch) databases Possess a solid understanding of object-oriented, functional, and reactive programming paradigms Are experienced with cloud platforms (GCP) and containerization (Docker, Kubernetes) Have strong knowledge of RESTful API design and development Understand event/queue patterns (RabbitMQ, Kafka, or similar) Excel at problem-solving and debugging Communicate and collaborate effectively Our Tech … Stack Languages & Frameworks: Kotlin, Micronaut, Spring Databases: PostgreSQL, Elasticsearch Messaging: RabbitMQ Cloud & DevOps: GCP, Docker, Kubernetes What It's Like to Work at Jupiter Experiment-driven culture: We measure success by the number of successful experiments run per month. Metrics-driven: We study metrics deeply to deliver a great experience. Speed: Moving fast is our competitive advantage in the age More ❯

using agile methods to drive continuous innovation and improvement.We foster a true DevOps culture, valuing automation and seamless teamwork. You'll work with leading-edge technologies like AWS, Linux, Kubernetes (EKS), Terraform, Istio, ArgoCD and Crossplane to continually evolve and meet the demands of our fast-paced industry. What you will be doing: Championing reliability:Implement observability and security solutions … strategies Accelerating productivity:Automate deployments and maintain state-of-the-art CI/CD pipelines to deliver efficiently at scale Powering infrastructure:Enhance container orchestration and data platforms, with Kubernetes at the core Supporting incidents:Support production through rapid response and participate in on-call rotations Elevating standards:Promote best practices, document processes, and help define policies for quality testing … responsible gambling and are seeking individuals who champion this ethos. Cloud & Automation:Proficient in AWS, using Terraform or similar Infrastructure as Code tools for streamlined management Containerization:Skilled in Kubernetes administration and orchestration Developer Experience:Experienced in developing SDLC pipelines with GitOps Observability:Familiar with Prometheus, New Relic, Splunk, or similar monitoring tools Security First:Demonstrates an understanding of security More ❯

for supporting the CASA Compute Environment (CCE) SaaS team and mission services. The CCE provides several containerized services that customers can provision and access on demand inside of a Kubernetes cluster. Some of the services include Gitlab CI/CD, Jupyter Notebooks, MinIO, and several other products. The Software Engineer shall perform maintenance and troubleshooting of containerized applications, upgrade services … help desk tickets. Requirements TS/SCI w/Polygraph Clearance Required Experience using the Linux CLI Experience with Bash/Python scripting. Experience with creating Helm Charts for Kubernetes Experience with developing services on Kubernetes. Experience creating containerized applications/services using Docker. Experience providing customer outreach and troubleshooting support. Position Desired Skills Experience with Jupyter Notebooks Experience with More ❯