526 to 550 of 2,063 Permanent Docker Jobs

on experience of developing software in Java, JavaScript or Python Understanding of Cloud-based architectures in AWS or Azure Use of DevOps Automated Deployment tools such as Jenkins, Gitlab, Docker, OpenShift or Kubernetes Understanding of database technologies such as SQL, Elasticsearch or MongoDB Role clearance type: You must currently hold the highest level of UK Government clearance Our requirement team More ❯

ES2022), React, React Query, React Router, MaterialUI, GitHub actions, on an increasingly more service-oriented architecture. The rest of the tech stack include Django REST Framework, PostgreSQL, AWS, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Github, Jenkins, Elasticsearch and lots of raw SQL for analytics. We have a very large but clean code base as we put significant emphasis on design More ❯

You are comfortably organized amongst chaos. Be familiar with our tech stack: TypeScript, React, styled-component Python PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytes AWS, GCP Kubernetes, Docker, Terraform, GitHub, CircleCI Next.js (Preferred) AR/VR (Preferred) Embrace differences and know that when we can be ourselves at work, we are happier, more motivated, and creative. We want More ❯

in some of the following a bonus: Java experience Python experience Ruby experience Big data technologies: Spark, Trino, Kafka Financial Markets experience SQL: Postgres, Oracle Cloud-native deployments: AWS, Docker, Kubernetes Observability: Splunk, Prometheus, Grafana For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at . California residents, please More ❯

You bring strong problem-solving skills, proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch . You have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka). You are experienced or interested in ML model serving technologies (e.g., MLflow , TensorFlow Serving) and CI/CD tools (e.g., GitHub More ❯

testing, mocking/stubbing tools and test data management. Solid understanding of microservices architecture, RESTful APIs and modern front-end frameworks. Knowledge of containerisation and orchestration technologies such as Docker, Kubernetes, and Terraform. Experience with cloud platforms, ideally GCP or Azure. Familiarity with compatibility and accessibility testing (using e.g., Lambda, Axe) Awareness of Guidewire platform integration is desirable but not More ❯

candidates who have experience and proficiency in one or more of the following: Languages: C#, Golang, Java, Python, Kotlin, and Rust Databases: PostgreSQL, MySQL, MongoDB, and NoSQL Infrastructure: Terraform, Docker, and Kubernetes CI/CD: GitHub Actions, Jenkins, and ArgoCD Agile: Experience with the Software Development Lifecycle (SDLC) and an understanding of Agile practices. Improvements: Demonstrated history of leaving behind More ❯

You bring strong problem-solving skills, proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch . You have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka). You are experienced or interested in ML model serving technologies (e.g., MLflow , TensorFlow Serving) and CI/CD tools (e.g., GitHub More ❯

Inventory, Cloud Monitoring) Experience with Python to automate API integrations and data workflows Experience working with structured data pipelines (e.g. JSON ingestion, normalization, tagging, enrichment) Experience with container technologies (Docker) and Kubernetes platforms (e.g. EKS, GKE, OpenShift) Experience integrating inventory data with CMDB platforms Familiarity with NoSQL databases Infrastructure as Code (IaC) Hands On Expertise: demonstrable experience with the following More ❯

benchmarking with tools such as pprof, delve, and gdb and meeting end-to-end performance SLAs. Experience with version control systems (e.g., Git) in a production setting. Experience with Docker and Kubernetes (or equivalent) for packaging and running microservices in a production environment. Experience designing and managing relational databases (MySQL, PostgreSQL) and in-memory data stores (Redis), including schema design More ❯

and optimize performance. It would be a plus if you also possess previous experience in: TDD/ATDD/BDD , DDD , Pair/Ensemble Programming Wildfly , Oracle SQL , AWS , Docker/Kubernetes , Kafka, Jenkins GWT, Jest , Vite , Cypress, P laywright , eslint , esbuild , webpack, web components At IDBS we believe in designing a better, more sustainable workforce. We recognize the benefits More ❯

data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools (e.g., Git, Jenkins, Docker, Kubernetes). Strong knowledge of relational and non-relational databases. Leadership & Commercial Focus Strong stakeholder management skills, with a focus on building trust and identifying client needs. Proven ability to More ❯

Avaya, Genesys, Verint and Ring Central. Experience of Automation and Infrastructure as Code (IaC) tooling with proficiency in one or more of the following: Python, Jenkins, Harness, Ansible, Terraform, Docker, Kubernetes. Excellent communication and collaboration skills. Experience creating and maintaining product roadmaps, managing down technical debt, maintaining the health of production instances and creating the space to develop the skills More ❯

systems. Understanding of mobile development processes, security mandates, and distributed/cloud architectures (Azure preferred). Experience with TDD/BDD methodologies and frameworks such as Cucumber. Experience with Docker containers for environment setup, test automation, and CI/CD integration. Success in This Role Will Look Like: QA Strategy A comprehensive review of existing practices and frameworks resulting in More ❯

experience with automated testing frameworks and a solid understanding of unit testing principles. Experience working in agile environments and a strong agile mindset. Fluent in using containerisation tools (e.g., Docker). Attention to detail and the ability to work under pressure without being distracted by complexity. Excellent problem-solving skills and the ability to think critically and creatively. Strong collaboration More ❯

to completion A dvantageous skills/experience: Experience with infrastructure as code approach to managing deployments. Familiarity with configuration and deployment management (Scripting, Visualisation, AWS, Unix, Java, Databases, Kubernetes, Docker etc). Experience working in a compliant systems environment such as ISO 27001, SOC or PCI-DSS Incident, change & problem management experience. Knowledge of SQL relational databases We look for More ❯

programming skills in languages such as .Net, JavaScript, Python or similar. Experience with CI/CD tools (eg, GitHub Actions, ADO Pipelines). Familiarity with containerization and orchestration (eg, Docker, Kubernetes). Understanding of Azure. Excellent problem-solving and communication skills. Passion for improving developer workflows and internal tooling. We are proud to be a Disability Confident Committed employer. If More ❯

iOS/Android apps. Experience developing applications in cloud platforms. (e.g., AWS) Experience working with cloud-based testing infrastructures. (e.g., SauceLabs) Experience working with Agile methodologies. Experience working with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems. Experience writing Gherkin syntax to facilitate the development of automated test scenarios. Experience developing advanced mocking mechanisms. (e.g., rule-based proxies and More ❯

/CD (GitHub Actions), and orchestration (Airflow, Dagster). Proficient in SQL and cloud platforms (AWS preferred), with exposure to model/data versioning tools (e.g. DVC), containerised solutions (Docker, ECS), and experiment tracking (e.g. MLflow). Demonstrated ability to frame business and technical problems, assess trade-offs, and select effective modelling approaches. Excellent communication skills and the ability to More ❯

/CD (GitHub Actions), and orchestration (Airflow, Dagster). Proficient in SQL and cloud platforms (AWS preferred), with exposure to model/data versioning tools (e.g. DVC), containerised solutions (Docker, ECS), and experiment tracking (e.g. MLflow). Demonstrated ability to frame business and technical problems, assess trade-offs, and select effective modelling approaches. Excellent communication skills and the ability to More ❯

programming skills in languages such as .Net, JavaScript, Python or similar. Experience with CI/CD tools (e.g., GitHub Actions, ADO Pipelines). Familiarity with containerization and orchestration (e.g., Docker, Kubernetes). Understanding of Azure. Excellent problem-solving and communication skills. Passion for improving developer workflows and internal tooling. We are proud to be a Disability Confident Committed employer. If More ❯

managing a multi-discipline engineering team. Experience with large code bases and third-party dependencies, ideally in the C++ and/or Python ecosystem(s). Experience with containerisation (Docker), infrastructure as code (Terraform), and cloud compute (GCP, AWS, etc.). A solid understanding of DevOps principles and methodologies. Strong written and verbal communication skills to a variety of technical More ❯

in Python and Scala codebases Proficient in testing solutions at different levels - unit and integration - Experience with relational or non-relational databases, preferably PostgreSQL, DynamoDB, AWS Athena Experience with Docker and Kubernetes Nice to haves: Experience with Java Experience with Play framework Experience with web frameworks, or web development Experience with eCommerce Experience with event-driven architectures, preferably using RabbitMQ More ❯

GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub Actions, Jenkins, etc.)? Select Which option best describes your experience building observability and automated anomaly detection tooling for data pipelines? Select What best describes your current location and working More ❯

open to giving and receiving continuous feedback. Technical Skills Familiar with frameworks such as SpringBoot and JUnit. A firm believer in test-driven development and continuous deployment. Familiarity with Docker, Jenkins and GitHub Actions for CI/CD and containerised development A solid understanding of RESTful APIs and microservices architecture. Experience in software delivery within a high web traffic/ More ❯