326 to 350 of 745 Permanent Docker Jobs

Microsoft stack, including the .NET framework (versions .NET Core, 8 and beyond), SQL Server, and microservices architectures. Familiarity with microservices, REST APIs, Docker, Redis, and cloud platforms (such as AWS or Azure) is essential. You'll also be comfortable working in a DevOps-driven culture, using CI/CD tools ...

Microsoft stack, including the .NET framework (versions .NET Core, 8 and beyond), SQL Server, and microservices architectures. Familiarity with microservices, REST APIs, Docker, Redis, and cloud platforms (such as AWS or Azure) is essential. You’ll also be comfortable working in a DevOps-driven culture, using CI/CD tools ...

data‐intensive applications in production. Strong full‐stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL. DevOps proficiency: Docker, Kubernetes, CI/CD, and major cloud platforms. Expertise in LLMs, prompt engineering, vector DBs, RAG pipelines, and Agentic orchestration frameworks. Agentic/integrations: MCP, Salesforce/ ...

iterates quickly Core Tech Stack: Languages: Python (FastAPI), Go, TypeScript (Node.js) Databases: PostgreSQL, Redis, Pinecone/pgvector Infra: AWS (ECS, Lambda, SQS/SNS), Docker, Kubernetes, Terraform AI/ML tooling: LangChain/LlamaIndex, vLLM, Anthropic & OpenAI APIs, embedding models Observability: Datadog, Grafana, OpenTelemetry CI/CD: GitHub Actions, ArgoCD ...

software engineering principles, architecture patterns, and delivery best practices Experience with API development using frameworks such as FastAPI, Flask, or Django Knowledge of Docker, containerised deployments, CI/CD, and cloud‐native delivery patterns What Will Make You Stand Out Experience building, deploying, and evaluating multi‐agent AI solutions, agent ...

tool use and function calling, retrieval‐augmented generation (RAG) architectures, LLM evaluation, and iterative improvement. Infrastructure and Deployment Hands‐on experience deploying production systems, Docker and containerization, cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, and scalable service architecture. Data and Retrieval Systems Experience building and operating knowledge ...

experience within DevOps, CI/CD, and modern engineering practices Ability to influence technical direction through expertise rather than authority Desirable Skills Experience with Docker, Kubernetes, or containerisation Knowledge of event-driven systems and architectures Exposure to front-end technologies (React/Angular) Experience within fintech or regulated environments ...

Strong knowledge of microservices and distributed systems Experience with relational and NoSQL databases Familiarity with DevOps practices including CI/CD, Docker, and Kubernetes Experience working in Agile environments A strong focus on quality, performance optimisation, and high availability systems #J-18808-Ljbffr ...

building and maintaining APIs and backend services, including SaaS platforms; Familiarity with modern infrastructure and distributed systems; Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes; Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization; Use AI tools ...

Practical experience with CI/CD pipelines, Jenkins, and GitHub Actions. Familiarity with high-performance or real-time systems programming. Knowledge of DPDK, JavaScript, Docker, or cloud services such as AWS and Terraform. Previous involvement in automation, containerisation, or advanced systems architecture design. Call to Action ...

Experience with orchestration tools such as Airflow, Prefect or Dagster Familiarity with cloud environments (AWS, GCP or Azure) Experience with containerisation tools such as Docker and Kubernetes Proven experience integrating multiple business systems and ensuring reliable data flow between platforms Strong troubleshooting skills with a focus on system reliability ...

DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark ...

Hands‐on experience architecting and managing GPU‐intensive workloads (NVIDIA clusters, cloud AI accelerators) for compute‐heavy applications. Multi-Cloud & Orchestration: Expertise with Kubernetes, Docker, Terraform (or OpenTofu), and multi‐cloud environments (with strong hands‐on GCP experience). High-Performance Storage: Demonstrated experience designing, optimising, and maintaining high-performance ...

applications on AWS Deep understanding of microservices architecture Experience with event-driven systems and asynchronous messaging API-first architecture and systems integration Container technologies (Docker, Kubernetes, ECS or EKS) Infrastructure as Code (Terraform desirable) Strong understanding of distributed systems Excellent stakeholder management and communication skills Comfortable working closely with software ...

automation, WCS/WMS, or similar environments Experience working with PLCs, robotics, or real‐time control systems (desirable) Knowledge of CI/CD, containerisation (Docker/Kubernetes), and Linux‐based environments Strong problem‐solving ability, with experience in performance tuning and scalability challenges Excellent communication skills with the ability ...

testing and monitoring AI agents and automated workflows, including benchmarking and observability in production. Strong knowledge of cloud platforms (AWS, Azure) and containerisation technologies (Docker, Kubernetes). Strong programming and scripting skills, particularly in Python and Bash, and use of AI-assisted coding tools such as Claude. Strong research, analytical ...

Academic, internship, or personal projects delivering data science outputs. Basic familiarity with CI/CD pipelines or MLOps concepts. Exposure to containerisation technologies (e.g., Docker). Some experience working with relational or NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with Workday data structures, APIs, or reporting tools is an advantage. ...

pace of AI teams is a real advantage. Experience with graph databases, knowledge graphs or scientific data platforms. Experience with infrastructure-as-code, containerisation (Docker/Kubernetes) or CI/CD pipelines. Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment ...

efficiency Proficiency in Git Proficiency in AI/ML frameworks: Huggingface, Torch, TensorFlow, Scikit‐Learn, and Spacy Experience in MLOps platforms: MLFlow, dbt, Docker, Kubernetes Experience with cloud environments such as AWS Technical Concept Requirements Experience in NLP, Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions Experience ...

automation, WCS/WMS, or similar environments Experience working with PLCs, robotics, or real-time control systems (desirable) Knowledge of CI/CD, containerisation (Docker/Kubernetes), and Linux-based environments Strong problem-solving ability, with experience in performance tuning and scalability challenges Excellent communication skills with the ability ...

alerting (e.g. SolarWinds). Practical experience of commissioning and maintaining Microsoft SQL Server installations. Experience designing, deploying and maintaining containerisation and orchestration solutions (e.g. Docker, Kubernetes) a significant plus. Experience of using Infrastructure as Code tools such as Terraform or Bicep for definition and management of environments a significant plus. ...

Hybrid Administrator Associate Proficiency in basic Linux system administration tasks. Experience with Infrastructure-as-Code tools (Terraform, ARM templates, Bicep) Knowledge of containerization technologies (Docker, Kubernetes) and their integration with Windows infrastructure Familiarity with DevSecOps practices, CI/CD pipelines, and automation frameworks Experience with PowerShell scripting and automation ...

post‐graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands‐on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production‐grade applications with a strong handle on cloud environments and infrastructure health. ...

testing.* Deliver and improve complex enterprise systems spanning hybrid monoliths and standalone modules.* Build, scale, and optimise solutions across .NET, SQL Server, Azure, Terraform, Docker, PowerShell, bash, XML, and XSL.* Own CI and CD through Azure DevOps pipelines, including quality gates and deployment automation.* Run structured release management using established ...

automated workflows, including benchmarking and observability in production environments. Strong knowledge of cloud platforms, including AWS and Azure. Experience of working with containerisation technologies (Docker, Kubernetes, etc.). Strong programming and scripting skills, particularly in Python and Bash together with use of AI-assisted coding tools such as Claude code. ...