926 to 950 of 1,689 Kubernetes Jobs

work on real projects alongside experienced developers, learning quickly and making a real impact. What you’ll do: Write production code with technologies like Java, .NET, React, AWS and Kubernetes Solve complex problems using computer science fundamentals Use AI-powered coding tools to improve quality and speed Work in agile teams to deliver high-quality software What they offer: A More ❯

SCI active clearance required. U.S. Citizenship required Nice to have, but not required: • Experience with OpenLayers • Experience with geoserver • Experience with Relay or Apollo • Experience with NGINX • Experience with Kubernetes • Experience with monorepos using Nx More ❯

SCI active clearance required. U.S. Citizenship required Nice to have, but not required: Experience with OpenLayers Experience with geoserver Experience with Relay or Apollo Experience with NGINX Experience with Kubernetes Experience with monorepos using Nx More ❯

with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are More ❯

API Development Designing and operating micro frontend architectures CI/CD, automated testing Performance optimisation – caching, code splitting, real-user monitoring Web and mobile security best practices Docker/Kubernetes/Helm/Terraform We are looking for a strategic thinker with strong leadership and mentoring skills who has a very strong technical background and can still roll up their More ❯

secure SDLC Hands-on experience with CI/CD pipelines and automation Familiarity with cloud platforms (AWS, Azure, or OpenShift) and migration best practices Knowledge of container security (Docker, Kubernetes) Excellent communication and documentation skills All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond More ❯

experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding of healthcare data privacy, compliance (e.g., ISO standards), and secure data handling. Strong communication skills and ability to work cross-functionally in a collaborative More ❯

both technical and non-technical stakeholders. You'll work with Java 12 within a Spring Boot framework, operating in a Google Cloud Platform (GCP) environment. Our platform stack utilises Kubernetes on GCP, with infrastructure defined by Terraform and source code managed through GitLab. The ideal candidate will have experience designing and building cloud-native solutions. Beyond technical skills, we value More ❯

experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding of healthcare data privacy, compliance (e.g., ISO standards), and secure data handling. Strong communication skills and ability to work cross-functionally in a collaborative More ❯

re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries. Independent, self-driven engineers who can own delivery without More ❯

re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries. Independent, self-driven engineers who can own delivery without More ❯

AWS services: S3 and EC2. • Demonstrated experience with databases: relational, graph (Neo4J/Graph-Tool), and NoSQL/document (MongoDB). • Demonstrated experience deploying software using: Linux, Docker, and Kubernetes Why Go Epic Solutions? • Mission-Driven Work: Contribute to national security and make a real impact. • Innovative Environment: Work with cutting-edge technology and methodologies. • Collaborative Culture: Join a team More ❯

of 4 years of experience as an SRE engineer, with a strong focus on automation and deployment. Active security clearance with experience in DoD IT environments. Proficiency in VMware, Kubernetes, Docker, Helm, Ansible, and Terraform. Strong understanding of Linux, containers, and virtual machines, with the ability to implement RMF security controls. Certification in Security+ or another DoD 8570.01-approved security More ❯

and migrating to cloud-native platforms Solid grasp of AWS (API Gateway, Lambda, S3, VPC) Familiarity with Java, DB2, relational databases, and network concepts Desirable experience includes: OpenAPI schemas, Kubernetes, Spring Boot, JBOSS/EJB, Postgres, Python Prior work within UK government departments Ability to mentor and lead technical teams This is a key role in a multi-disciplinary agile More ❯

data structures, debugging. Data Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS (Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations, authentication (JWT/OAuth). Software Engineering: Building production AI/ML systems, collaborative development, service/serverless architectures. Development Practices More ❯

in one or more programming languages (Python, JavaScript, Java, Matlab, etc.) Expert knowledge in databases (SQL, NoSQL, Graph, etc.) and data architecture (Data Lake, Lakehouse) Experience with AWS solutions (Kubernetes, DataLakes, Open AI Services). Experience with PostgreSQL, ElasticSearch, MongoDB, and graph databases. Experience with GenAI enabled daily workflows (coding, testing, analytics). Experience with one or more SQL-on More ❯

not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. Requirements Java AWS Docker Kubernetes A Bachelor's degree in computer science or related discipline from an accredited college or university, plus twenty (20) years of experience as a SWE, in programs and contracts of More ❯

software design through deployment. Participate in a fast-paced environment with frequent releases, often every few days. Contribute to our full-stack web stack, including Java, React, TypeScript, GraphQL, Kubernetes, SQL and NoSQL databases, on AWS. Qualifications Experience with all listed technologies is not required; a strong desire to learn is essential. Perks of Working at Viator Competitive salary and More ❯

with experience in cloud-based services for data engineering. Solid understanding of relational databases, data modeling, and unstructured database technologies (e.g. NoSQL, Graph). Familiarity with containerisation (e.g. Docker, Kubernetes/EKS) and Agile working environments. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM) and relevant regulatory requirements. A Bachelor's degree in Computer Science, Statistics More ❯

approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the More ❯

approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the More ❯

including AI) and integrate customer feedback to evolve our quoting process. Tech you'll be working with: Frontend : Next.js, React (Native), Typescript Backend : PostgreSQL, Vercel DevOps : CI/CD, Kubernetes, GitHub AI/LLM : Integrating intelligent tooling to enhance automation and UX What they are looking for: A strong coder with a collaborative mindset Experience in agile environments and cross More ❯

EC2) Amazon Machine Images (AMI) builds. 5. Demonstrated experience writing Bash script for the automated deployment of Elastic, RabbitMQ, MySQL, and Apache Tomcat. 6. Certification(s): Active CNCF Certified Kubernetes Administrator (CKA) certification. More ❯

time applications, and business management tools. To successfully support this program, you'll need to have a solid background and experience in the following areas: - AWS Cloud - Java - Docker - Kubernetes - Jira and Confluence This position requires the following: An active TS/SCI with Full-Scope Polygraph issued by the National Security Agency (NSA) Fourteen (14) years of experience supporting More ❯

Solid experience building and deploying services with Java and Spring Boot. Comfort working in a cloud-native environment - Kubernetes (EKS), containers, scaling etc. An interest in observability, using tools like Prometheus and Grafana to keep services healthy and understand usage patterns. Familiarity with AWS services and how to integrate them into modern applications. A keen focus on quality and security More ❯