426 to 450 of 1,038 Remote Docker Jobs

8+, and GraphQL. Good understanding of automated testing concepts and frameworks (PHPUnit, integration tests, API tests) Good understanding of server administration (Linux/Unix) and DevOps (CI/CD, Docker) Experience using Git for version control and team collaboration Experience with package managers (Composer) Nice to have Experience with GitHub (version control, pull requests, code reviews) Experience with CI/ More ❯

ArangoDB, Neo4j, Neptune) and property graph modelling. Data engineering: ETL pipelines, document processing, schema design for AI applications. Cloud platforms (GCP preferred, AWS/Azure also relevant) and containerisation (Docker). Observability and monitoring for LLM applications (tracing, metrics, cost tracking). Secure coding practices for regulated industries and sensitive data handling. Frontend experience (React/Next.js) for rapid prototyping More ❯

ArangoDB, Neo4j, Neptune) and property graph modelling. Data engineering: ETL pipelines, document processing, schema design for AI applications. Cloud platforms (GCP preferred, AWS/Azure also relevant) and containerisation (Docker). Observability and monitoring for LLM applications (tracing, metrics, cost tracking). Secure coding practices for regulated industries and sensitive data handling. Frontend experience (React/Next.js) for rapid prototyping More ❯

ArangoDB, Neo4j, Neptune) and property graph modelling. Data engineering: ETL pipelines, document processing, schema design for AI applications. Cloud platforms (GCP preferred, AWS/Azure also relevant) and containerisation (Docker). Observability and monitoring for LLM applications (tracing, metrics, cost tracking). Secure coding practices for regulated industries and sensitive data handling. Frontend experience (React/Next.js) for rapid prototyping More ❯

Primer to customers - Knowledge of distributed systems, ETL and ETL workflows - Track record for consistently exceeding goals and quota Bonus Points: - Familiarity with container and orchestration technologies such as Docker and Kubernetes - Familiarity with machine learning techniques - Experience with natural language processing (NLP) - Full-stack development skills (including front-end) - Strong understanding of public sector procurement processes The annual cash More ❯

performance optimization. Desired Qualifications Relevant network certifications (CCNP, CCIE, or equivalent) preferred. Active TS/SCI with CI Polygraph. Experience with: Cloud networking (AWS GovCloud, SC2S, C2S) Containerization networking (Docker, Kubernetes) Infrastructure as Code (Terraform) Tunneling protocols (GRE, IPSec, SSH, SSL) Cross-domain solutions Network automation and orchestration DevSecOps practices and tools Overview Noblis and our wholly owned subsidiaries, Noblis More ❯

libraries such as pandas and scikit-learn Tooling & Environment : DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked with cloud-based environments before (we use AWS) SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake Version control: You More ❯

experience and desire to span front-end (JavaScript, React) to back-end (MongoDB). Required Skills • Backend: NodeJS, Typescript, Express • Frontend: React • Database: MongoDB or similar NoSQL tech • Containers: Docker or equivalent • Cloud: S3, EKS • CI/CD: GitLab Desired Skills: • Python, dataflow, AWS Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression More ❯

focus on stakeholder engagement and team development. High attention to detail with a commitment to security, code quality, governance, and equality and diversity principles. Experience with containerisation and orchestration (Docker, Azure Kubernetes Service - AKS). Familiarity with other IaC tools like Terraform. Experience working in a regulated environment or an organization with strict data privacy requirements. Support with your application More ❯

Experience: Hands-on experience with KDB+ and the Q programming language for handling and analyzing large volumes of time-series financial data. Containerization & Orchestration: Exposure to containerization technologies (e.g., Docker) and container orchestration platforms (e.g., OpenShift, Kubernetes) for deploying and managing microservices. What we'll provide you By joining Citi London, you will not only be part of a business More ❯

promote a thoughtful, test-driven approach across the team. A Typical Week Might Involve: • Building and improving microservices using Java, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker • Working with your team to design APIs and services that power our mobile experiences • Contributing to technical discussions and helping prioritise features during sprints • Reviewing code, sharing feedback, and supporting More ❯

promote a thoughtful, test-driven approach across the team. A Typical Week Might Involve: • Building and improving microservices using Java, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker • Working with your team to design APIs and services that power our mobile experiences • Contributing to technical discussions and helping prioritise features during sprints • Reviewing code, sharing feedback, and supporting More ❯

promote a thoughtful, test-driven approach across the team. A Typical Week Might Involve: • Building and improving microservices using Java, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker • Working with your team to design APIs and services that power our mobile experiences • Contributing to technical discussions and helping prioritise features during sprints • Reviewing code, sharing feedback, and supporting More ❯

unit tests to ensure model and software quality. • Support system integration, test, and verification activities to confirm subsystem performance meets program requirements. • Work in an Agile DevOps environment leveraging Docker, containerization, and Kubernetes deployments. • Collaborate with performance analysts, flight software teams, and customers throughout the program life cycle, including mission operations and post-launch performance assessments. Successful applicants generally have More ❯

etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires More ❯

etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires More ❯

and always look to evolve. Your Technical Toolkit Java (21) and Spring Boot AWS and cloud-native architecture RDBMS/NoSQL databases Event-driven and microservices architectures Containers (e.g., Docker, Kubernetes) CI/CD pipelines and DevOps principles TDD/BDD testing frameworks Salary & Package We offer a competitive salary of up to £95,000 , depending on experience, alongside a More ❯

as a SWE • Development within Windows or UNIX applications using scripting languages (i.e. C, C++, C#, Java and Python) • Experience using Dev Ops build and deploy technologies (i.e. Artifactory, Docker, Terraform, Ansible, Packer) • Experience using CI/CD tools (i.e. Jenkins and Bamboo) and building automated pipelines Desired Skills: • Experience with Computer Science, Information Systems or Network Engineering. • 2+ years More ❯

experience may be substituted for each year of required education. Relevant certifications may be substituted for education or years of experience Familiarity with MLOps practices and tools (e.g., MLflow, Docker, Airflow, Kubernetes, Kubeflow). Experience building and maintaining end-to-end ML pipelines (data ingestion, training, deployment, monitoring). Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit More ❯

about people, outcomes, and culture. Your Technical Toolkit Java (21) and Spring Boot AWS and cloud-native architecture RDBMS/NoSQL databases Event-driven and microservices architectures Containers (e.g., Docker, Kubernetes) CI/CD pipelines and DevOps principles TDD/BDD testing frameworks Interview Process 3 Stage Interview Stage 1 - Discussion with our Hiring Manager (30 mins): A chance to More ❯

designing solutions for real-time analytics, predictive modelling, intelligent automation , and synthetic data generation for privacy-preserving analytics. Expertise in integrating AI models into enterprise systems, leveraging APIs, containerisation (Docker, Kubernetes) , and serverless architectures to enable scalable deployment. Proactive evaluation of emerging technologies , including edge AI, federated learning, quantum-inspired data processing , and AI-driven data orchestration , to drive innovation More ❯

critical systems. • Knowledge of secure coding standards (e.g., MISRA, CERT C/C++) and cybersecurity best practices. • Hands-on experience with DevSecOps toolchains (e.g., GitLab CI/CD, Jenkins, Docker, Kubernetes, SonarQube, Coverity). • Background in real-time embedded systems development and performance optimization. • Familiarity with communication protocols, middleware, or distributed systems. • Experience with space, defense, or aerospace software systems More ❯

that's as delightful to read as it is useful. We are fully AWS hosted. You'll get to use a range of tools and services, such as Kubernetes, Docker, Postgresql, Redis, SQS, SNS, S3, etc. Collaborating with product managers, designers, QA engineers and web/app engineers to help execute on product vision and drive value for our business. More ❯

cloud-native applications using microservices and event-driven architecture. Refactor and migrate legacy applications for scalability and resilience. Build and maintain CI/CD pipelines and containerised deployments (Kubernetes, Docker). Ensure applications are secure, observable (logging, metrics, monitoring), and performant. Write clean, tested, maintainable code in modern programming languages. Collaborate with product managers, QA, and platform/SRE teams … coding practices and identity/secrets management. Strong version control (Git) and testing practices (integration, automation). Problem-solving, collaboration, and growth mindset. Nice to have: Containerisation and orchestration (Docker, Kubernetes). Infrastructure as Code (Terraform, Ansible). Observability tools (Prometheus, Grafana, Databricks). What To Expect Next: 1st stage: Introduction call with a member of the TA team More ❯

Working closely with a team of DevOps Engineers and Architects, the incoming contractor will need extensive hands-on experience with the following: AWS Cloud and AWS Services Containerisation with Docker Compose IaC with Terraform Automation with Ansible CI/CD with GitLab pipelines Scripting with Python or Bash This role is remote first, with office visits only required once p More ❯