301 to 325 of 598 Remote/Hybrid Docker Jobs

MSSQL or MySQL o Elastic or Open search Infrastructure & Cloud o Azure o Kubernetes fundamentals (pods, services, ingress, Istio, Traefik). o Containerization with Docker/containerd. Collaboration Tools o Jira, Confluence, Teams. Clearance: Must hold current active SC Clearance. UK National ...

hands-on AWS infrastructure work Hands-on experience with S3, Lambda, ECS, SQS, RDS and EC2 Proven experience deploying environments with Terraform Experience with Docker and container orchestration such as ECS Familiarity with data transformation strategies, high-volume data streams, and solid Git and CI/CD practices (desirable ...

hands-on AWS infrastructure work Hands-on experience with S3, Lambda, ECS, SQS, RDS and EC2 Proven experience deploying environments with Terraform Experience with Docker and container orchestration such as ECS Familiarity with data transformation strategies, high-volume data streams, and solid Git and CI/CD practices (desirable ...

have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry * A strong consulting mindset ...

data persistence Experience documenting APIs with Swagger/Open API Experience working with event driven systems Experience building cloud native solutions Familiarity with Docker and Kubernetes Excellent verbal and written English communication skills Perks Competitive Salary + share options, so that you have a slice of the company and share ...

testing frameworks and best practices. Strong communication and problem-solving skills. Experience working within Agile teams. Desirable Skills Next.js GraphQL Azure or AWS Docker CI/CD pipelines Tailwind CSS Material UI Jest, React Testing Library or Cypress What's on Offer £45,000 - £50,000 salary Fully remote working ...

training Experience with ML pipeline tooling such as MLflow, Kubeflow or Vertex AI, and CI/CD for model lifecycle management Experience with Docker, Kubernetes and cloud infrastructure Proven track record owning production incidents including detection, mitigation and rollback Strong Python, Go or Java fundamentals Experience mentoring engineers and influencing ...

TensorFlow or PyTorch. Experience working with cloud platforms such as AWS, Azure or GCP. Knowledge of cloud architecture, infrastructure and security. Practical experience with Docker and Kubernetes or similar containerisation/orchestration technologies. A good understanding of core machine learning concepts, probability, statistics and common ML techniques. The ability ...

English (B2 level or higher) and fluent Russian Nice to Have Experience working in fintech , regulated industries, or internal B2B tools Familiarity with AWS , Docker , and message brokers (e.g. RabbitMQ, Kafka) Contributions to open source or personal side projects How We Work We’re a lean, collaborative team where developers ...

experience. Exposure to CI/CD and DevSecOps practices. Experience with reporting and analytics platforms such as Power BI. Knowledge of containerisation technologies including Docker and Kubernetes. Experience working with international and distributed teams. Familiarity with data warehousing concepts and technologies. Experience operating at SFIA Level 4/ ...

depth (supply chain, API, malware, runtime) Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) and container technologies (Docker/Kubernetes) Comfortable and hands-on with Linux; familiar with networking fundamentals and scripting in Python or Bash Strong communication skills with proven ability to engage ...

over very large, multi-modal datasets (multi-terabyte scale, spanning text, imagery, telemetry and sensor feeds), including indexing and embedding at scale Comfortable with Docker, Git and cloud infrastructure, ideally AWS Understanding of secure deployment approaches: air-gapped, on-premises or sovereign cloud Nice to Have Multimodal reasoning and/ ...

over very large, multi-modal datasets (multi-terabyte scale, spanning text, imagery, telemetry and sensor feeds), including indexing and embedding at scale Comfortable with Docker, Git and cloud infrastructure, ideally AWS Understanding of secure deployment approaches: air-gapped, on-premises or sovereign cloud Nice to Have Multimodal reasoning and/ ...

with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You’ve extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion ...

using the right tools for the job, and our stack reflects our commitment to modern, efficient development: Backend: PHP 8, Symfony, AWS, PostgreSQL, RabbitMQ, Docker, Kubernetes CI/CD: GitHub Actions and ArgoCD (we deploy to production as soon as a feature is complete!) Testing: Behat, PHPUnit for robust automated ...

working directly with the DOM and Browser APIs without relying on abstraction frameworks (React, Vue, etc.). DevOps & Infrastructure: Solid hands-on experience with Docker containers, Kubernetes (K8s) , and building robust CI/CD pipelines . Software Engineering Fundamentals: Excellent command of data structures, algorithms, system design, and clean code ...

service outages Troubleshooting skills across different levels of the stack Understanding of ITIL terminology Experience with container management and micro-services architectures such as Docker Experience extending and improving Open Source Software Familiarisation with automation test frameworks such as Selenium Awareness and insight into technology trends to adopt new cutting ...

Systems and Event Sourcing Experience with cloud infrastructure, particularly AWS SQL, and finding your way around data schemas Shipping containerised software with Argo, Kubernetes, Docker and Terraform Skill with CSS and exposure to Tailwind Interview process A 30 minute introductory call Take Home Task Technical Interview Cultural/behavioural interview ...

Clearance (current or previous preferred) Nice to have: Ability to use data visualization and debugging tools to support autonomy control development Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries Understanding of key technologies: C++, Python, DevOps ...

culture with a strong focus on engineering quality, automation, and operational excellence. Our core technologies include: Backend: Python (primarily Django) Infrastructure: AWS, Docker, ECS Data: PostgreSQL, Redis, Snowflake Messaging: SQS, SNS CI/CD: GitHub Actions Testing: Strong focus on automated unit and integration testing Strong Engineering Fundamentals: Proven experience ...

Backend Kotlin 1.7.20 AWS GraphQL (it would be nice if you were familiar with this but it's not a deal breaker) Postgres RabbitMQ Docker Kubernetes Frontend React & React Native, TypeScript, MobX, Redux, Stylus and SASS Other We build our Kotlin projects using Gradle and GitHub Actions, deploying to production ...

Stack Backend Kotlin 1.7.20 AWS GraphQL (it would be nice if you were familiar with this but its not a deal breaker) Postgres RabbitMQ Docker Kubernetes Frontend React & React Native, TypeScript, MobX, Redux, Stylus and SASS Other We build our Kotlin projects using Gradle and GitHub Actions, deploying to production ...

operate it” culture with a strong emphasis on ownership, experimentation, and continuous improvement. Frontend : React, TypeScript, Storybook Backend: Python (Django) Infrastructure: AWS, Docker, ECS, PostgreSQL, Redis, SQS, SNS Tooling & Delivery :GitHub, GitHub Actions, CI/CD pipelines Testing: Strong focus on unit, integration, and end-to-end testing using tools ...

that scale, and feeding the results into LLM or agentic pipelines with the latency and precision they need to be useful. Fluency with Docker, Git and cloud platforms (AWS preferred). Understanding of secure deployment patterns: air‐gapped, on‐premises or sovereign cloud. A builder's mindset: you ship real ...

what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step 1: People Team Screening Call (30 min) Step ...