201 to 225 of 1,030 Permanent Containerisation Jobs

TensorFlow, PyTorch, Scikit-learn). Familiarity with data processing tools and platforms (e.g., SQL, Apache Spark, Hadoop). Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Hugging Face Ecosystem: Demonstrated experience using Hugging Face tools such as the Transformers library, Datasets, and Tokenizers. Familiarity with integrating pre-trained models More ❯

AWS Certified Solutions Architect, Azure Solutions Architect). Hands on experience in Microsoft.NET and MS SQL. Experience in audio or video streaming technologies is plus but optional. Experience with containerization technologies such as Docker or Kubernetes. Experience with SAFe (Scaled Agile Framework) or similar frameworks. Experience with DevOps practices and tools (AzureDevOps) for automation and continuous integration/continuous deployment More ❯

Strong experience integrating and orchestrating testing tools such as PyTest and/or Selenium within automated pipelines to ensure code quality and reliability; Experience of work with Docker for containerisation and application packaging; Experience of implementing and managing monitoring solutions, with experience in Prometheus and Grafana for observability and alerting. Experience of implementing and managing robust security practices, including Encryption More ❯

API Gateway, or similar). Hands-on expertise with New Relic APM, logs, alerts, and dashboards. Strong understanding of API authentication and authorization (OAuth2, JWT, etc.). Knowledge of containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Excellent problem-solving, debugging, and performance optimization skills. More ❯

and technologies - Desire to integrate, test and troubleshoot and refactor software systems. - Experience with software build tools, such as Jenkins, Gitlab, etc. - Experience with Model Based Engineering. - Experience with containerization technologies such as Podman or Docker as well as AWS or Kubernetes. More ❯

while ensuring a controlled deployment process that enables zero down time Requirements Minimum of 4-7 years' demonstrated experience with Kubernetes and Helm Charts, Docker and/or Podman Containerization best practices AWS Services (EKS, Lambdas, EMR, ECR, VPC, etc.) Terraform Experience Preferred Terraform and Packer with AWS (AMIs, Environment, Configuration Automation, etc.) Database ORM Tools (Flyway, etc.) CI/ More ❯

end services, front-end user interfaces, and integration of capability into larger systems-of-systems. • Proficiency in managing software development, testing, documentation, and integration of data processing, interface design, containerization, and visualization software. • Five or more years of experience with Java, C/C++. • Experience troubleshooting software, microservices-based applications, and systems-of-systems. • Experience with the evaluation and integration More ❯

For: Proven experience leading development teams in an agile environment Hands-on expertise in .NET 8, AWS, SQL/NoSQL databases, and microservices Strong knowledge of CI/CD, containerisation, and DevOps tooling Experience with event-driven architectures and cloud-native systems Excellent stakeholder management and communication skills This is a chance to take ownership of a highly technical project More ❯

Boot framework Knowledge of microservice architecture and API design principles Understanding of TDD and BDD principles Experience with CI/CD pipelines (GitLab CI desirable) Familiarity with Docker and containerisation (Kubernetes/EKS desirable) Ability to work in Agile delivery environments Knowledge of Kafka SC Security Clearance - Active More ❯

Boot framework Knowledge of microservice architecture and API design principles Understanding of TDD and BDD principles Experience with CI/CD pipelines (GitLab CI desirable) Familiarity with Docker and containerisation (Kubernetes/EKS desirable) Ability to work in Agile delivery environments Knowledge of Kafka SC Security Clearance - Active More ❯

Boot framework Knowledge of microservice architecture and API design principles Understanding of TDD and BDD principles Experience with CI/CD pipelines (GitLab CI desirable) Familiarity with Docker and containerisation (Kubernetes/EKS desirable) Ability to work in Agile delivery environments Knowledge of Kafka SC Security Clearance - Active More ❯

Desired Skills & Experience Master's in computer science or a related field Experience deploying applications to Amazon Web Services (AWS) Experience with Java and Springboot Experience with Microservices and containerization tools(Docker, Kubernetes) Experience with data ingestion tools and data streaming with Kafka Strong understanding of distributed computing concepts NoSQL DB Experience preferred and background with Neo4J is a big More ❯

practices. REQUIRED SKILLS: • Documented Experience with DevOps/Platforms: Amazon Web Services (S3, RDS, EC2, ECS, Lambda, SQS, SNS, CloudFormation) • Experience implementing Infrastructure as Code and orchestration. • Experience with containerization technologies (Docker). • Excellent understanding of Python, Perl and Java. • Demonstrated experience automating infrastructure build-out using Amazon Web Services (AWS). • Demonstrated experience utilizing DevOps tools, such as GitHub More ❯

Gateway, IBM DataPower, and IBM CloudPak for Integration. Hands-on experience with API design, development, and lifecycle management. Proficiency in RESTful and GraphQL API design and development. Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Strong knowledge of API security standards, including OAuth, OpenID Connect, and API Gateway security. Experience with scripting and automation using Python More ❯

SonarQube) to ensure quality It would be great if you also had experience with: Machine learning frameworks (e.g. TensorFlow, AWS/Azure ML) Cloud deployment and management (AWS, Azure) Containerisation (Docker, Kubernetes) Databases (relational, document, or graph) Configuration and deployment tools (Ansible) The package: £55,000 - £64,000 base Company bonus Pension scheme Private medical care To hear more about More ❯

If you are passionate about driving advancements and have a robust background in Dev Ops, we invite you to apply for this exciting role. Key Responsibilities: Designing and managing containerisation solutions using Kubernetes or Docker. Developing and maintaining CI/CD pipelines to optimise software deployment processes. Implementing infrastructure as code using Ansible or Terraform. Maintaining and enhancing system stability More ❯

expertise in AWS Strong knowledge of AWS services including EC2, Lambda, S3, RDS, IAM, and VPC Proven experience building and maintaining infrastructure as code with Terraform Solid background in containerization and orchestration (Docker, Kubernetes - ideally EKS) Experience with scripting/automation using Python Excellent collaboration and communication skills in cross-functional teams If you're an experienced AWS-focused Senior More ❯

integration with HR systems Experience implementing or managing CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Experience with automated testing tools like Selenium or Playwright. Familiarity with containerisation technologies (e.g., Docker). Experience with cloud platforms (e.g., AWS, Azure). Benefits: Competitive Base Salary Hybrid Working Private Healthcare 33 Days Holiday 37.5 Hour work weeks - flexi-hours Great More ❯

integration with HR systems Experience implementing or managing CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Experience with automated testing tools like Selenium or Playwright. Familiarity with containerisation technologies (e.g., Docker). Experience with cloud platforms (e.g., AWS, Azure). Benefits: Competitive Base Salary Hybrid Working Private Healthcare 33 Days Holiday 37.5 Hour work weeks - flexi-hours Great More ❯

a high performance team. Requirements for Success: Writing clean, maintainable code in Python Expertise in software security principles, design patterns, and architectures. Experience in DevOps techniques such as virtualisation, containerisation, CI/CD, and infrastructure as code. Strong knowledge of cloud technologies and programming languages, with Agile methodology experience. Involvement in designing and developing new software systems or features, and More ❯

a high performance team. Requirements for Success: Writing clean, maintainable code in Python Expertise in software security principles, design patterns, and architectures. Experience in DevOps techniques such as virtualisation, containerisation, CI/CD, and infrastructure as code. Strong knowledge of cloud technologies and programming languages, with Agile methodology experience. Involvement in designing and developing new software systems or features, and More ❯

APIs, microservices, and cloud technologies. • Expertise in designing and deploying cloud-native applications on AWS, Azure, or Google Cloud. • Proficiency in modern application frameworks, technologies, and architectures, including microservices, containerization (e.g., Docker), and Kubernetes. • Experience with enterprise application platforms (e.g., Salesforce, SAP, Oracle) and cloud-based application development platforms. • Strong understanding of application security practices, including secure coding and data More ❯

topics to a broad audience About You You're a good fit for the role of Senior DevOps Engineer if you have: • A strong Linux background including knowledge of containerization technologies and products • Automation and CI/CD experience including tools such as terraform, ansible, and GitHub Actions • Enterprise experience with Docker and Kubernetes • Enterprise experience with AWS cloud infrastructure More ❯

for cloud infrastructure and services). Certified Information Systems Security Professional (CISSP) (for security-focused development). Oracle Certified Java Developer (for Java-focused software engineering). Preferred Skills: Containerization tools such asDocker or Kubernetes. Familiarity with Service-Oriented Architecture (SOA) orMicroservices. RESTful API development experience. Knowledge of performance optimization techniques in development and coding. Understanding of federal standards for More ❯

component libraries. Strong understanding of REST APIs, asynchronous data handling, and full stack integration. Hands-on experience deploying and operating cloud-native applications in GCP, including Cloud Run, Kubernetes, containerisation (Docker), and related tooling. Proven ability to design and deliver data-intensive applications with interactive visualizations. Experience with Git, CI/CD pipelines, automated testing, and agile practices. Excellent communication More ❯