776 to 800 of 1,371 Docker Jobs

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/ ...

/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/or Terraform (desirable) What You Will Learn & What Liquidline Can Offer You Being a part of Liquidline is more than just ...

supporting enterprise platforms. Experience designing and implementing hybrid on-premise and cloud solutions. Strong understanding of infrastructure, networking and platform security. Experience with Kubernetes, Docker and container platforms. Experience with Terraform, Ansible and infrastructure automation tooling. Experience with CI/CD pipelines and release management processes. Experience integrating security tooling ...

beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition ...

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 ...

data pipelines into production, defining and improving the processes and best practices others follow. Lead container orchestration and model serving using tools such as Docker, Kubernetes, and model deployment frameworks. Architect andoptimizethe computational stack for performance, power, cost, and scalability, balancing trade-offs against business goals. Evaluate and select tools ...

OpenTelemetry. Experience with data pipeline orchestration tools such as Airflow, Flyte, Ray, Metaflow, or Argo Workflows. Experience with containerisation and infrastructure tooling such as Docker, Kubernetes, or Terraform.Experience profiling or optimising ML systems, for example using NVIDIA Nsight. Understanding of ML workflows and researcher experience, even ...

environment.* Strong troubleshooting and IT service management skills.* Proficiency with automation/configuration tools (e.g., Ansible, Puppet, GitLab, Terraform).* Experience with Docker and container orchestration.* Scripting skills (Bash, Python, Perl).* Strong project/time management and communication skills.* A proactive, adaptable mindset with a passion for learning.***Desirable ...

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 ...

scalable applications, APIs, HTTP-based integrations, and web services Strong proficiency with Java, Spring Boot, Python, and Node.js Experience building and deploying applications using Docker and Kubernetes Experience working in Microsoft Azure environments Proven ability to design APIs using the OpenAPI Specification (OAS) Solid understanding of API security standards, including ...

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 ...

scalable applications, APIs, HTTP-based integrations, and web services Strong proficiency with Java, Spring Boot, Python, and Node.js Experience building and deploying applications using Docker and Kubernetes Experience working in Microsoft Azure environments Proven ability to design APIs using the OpenAPI Specification (OAS) Solid understanding of API security standards, including ...

feature engineering techniques Experience with Spark, agile delivery methods and CI/CD practices Familiarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlow Confidence influencing and communicating with stakeholders across technical and non-technical teams Ideally, exposure to cloud infrastructure, NLP or large language models ...

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 ...

real-time serving - your system designs will need to meet downstream API performance and data freshness requirements. A strong command of Linux, containers (Docker), and infrastructure as code for cloud deployments (AWS preferred). A passion for elevating engineering standards through pair programming and detailed code reviews to help other ...

practices. Preferred qualifications, capabilities, and skills Experience with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service-to-service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high-throughput APIs (gRPC/ ...

practices. Preferred qualifications, capabilities, and skills Experience with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service-to-service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high-throughput APIs (gRPC/ ...

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 ...

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 ...

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 ...