2,376 to 2,400 of 3,073 Docker Jobs

data science delivers impact across the business. Product & Tech at Marshmallow Backend and Infrastructure: Latest Java μService, Spring Boot with Spring Cloud, Dynamodb, Terraform, Docker, AWS Fargate, Datadog, Opslevel, and TeamCity. Frontend and Mobile: TypeScript, CSS-in-JS (Styled Components), React, Redux, Redux Hooks, and other modern state management libraries. ...

semantic search or recommendation systems.Experience introducing engineering practices or AI tooling across a team.Things We Use DailyLanguages and Frameworks: JavaScript, NodeJS, ReactJS, TypeScript, GraphQLDeployment: Docker, AWS, KubernetesSource Control: Git, GitHubAI Tooling: Codex, ChatGPT, GeminiWhat benefits do we offer? 25 days holiday (plus bank holidays) and extra days of annual leave ...

related activities, which may be up to a maximum of 50% of your working time. You have extensive experience with Linux systems; proficient in Docker and/or Podman. Strong scripting abilities in Bash, Python and Node.js. You have knowledge of standard network communication protocols such as TCP, UDP, HTTP ...

across multiple teams or pods. Prior work making "invisible" infrastructure legible to non-technical leadership. Our tech stack Platform & backend: Kotlin, AWS, Postgres, RabbitMQ, Docker, Kubernetes. Gateway & clients: Node GraphQL gateway, React Native/TypeScript mobile app, Relay. Tooling & observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana. Interview process ...

with SQL, Python and AWS data stack essential;Experience building efficient, scalable databases and APIs (e.g. Django, FastAPI) a huge plus;Experience in Kubernetes, Docker, Spark and related monitoring tools (e.g. DataDog, Grafana, Prometheus) for DataOps a huge plus;Experience with Airflow a huge plus;Experience with dbt for pipeline ...

engineers to understand their needs and create scalable platforms to be used across the company. Some of the technologies we use include Go, PostgreSQL, Docker, Kafka, Lua, Clickhouse, SaltStack, Prometheus and the usual Unix/Linux tools and workflows. We strive to build reliable, fault-tolerant systems that can operate ...

with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps Familiarity with embedded and connected device technology and ecosystems Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such ...

high-frequency sensor/time-series data (GPS, accelerometer, IMU) in production.Exposure to insurance, mobile data, or behaviour modelling.Experience with cloud platforms (AWS), containerisation (Docker, Kubernetes), or data orchestration frameworks.Familiarity with our ML and tooling stack: MLflow for experiment tracking, DVC for data versioning, Streamlit for internal apps and demos.BenefitsWhat ...

sensor/time-series data (GPS, accelerometer, IMU) in production. Exposure to insurance, mobile data, or behaviour modelling. Experience with cloud platforms (AWS), containerisation (Docker, Kubernetes), or data orchestration frameworks. Familiarity with our ML and tooling stack: MLflow for experiment tracking, DVC for data versioning, Streamlit for internal apps ...

patterns and provide it as service to other engineering teams in a Flask API; Team Tech Stack Our current technology stack primarily includes Linux, Docker, Kubernetes, Jenkins, Kafka, Python, Flask/FastAPI, Postgres, AWS Redshift, dbt, Google Bigquery, Prometheus, Grafana, Elastic Search, Kibana, Lightdash. About the Role: You will work ...

patterns (streaming, review loops, provenance/citations, long-running tasks, error-recovery) Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. AI Engineering (Desirable ...

data preprocessing, feature engineering, and model evaluation are critical for building effective systems. Engineers should understand MLOps practices, RESTful APIs, containerization tools like Docker, and version control systems. Practical experience with deep learning architectures and natural language processing is valuable for specialized roles. What qualifications are needed for Machine Learning ...

secure coding, encryption, authentication, access control, and security testing.Proficiency in methodologies and tools, including understanding CI/CD pipelines, infrastructure automation (e.g., Docker, Kubernetes), configuration management, and monitoring/observability.Ability to assess risks and apply security controls, encompassing an understanding of threat modeling, risk assessment techniques, vulnerability management, and incident ...

Interest in machine learning Preferred Previous experience in machine learning Customer service experience in a technical SaaS environment Experience in frontend frameworks Experience with Docker, AWS, GCP, Azure Experience with Kubernetes or other cloud infrastructures Why Us? About We work hard, have fun, and move fast ...

reliability, or network testing and optimization Distributed systems or cloud-based services Backend systems for web or mobile applications Tools and platforms such as Docker, AWS, microservices architectures, and observability tools like Grafana or APM systems Compensation & Rewards: In the United Kingdom, the Base compensation range for this role ...

Onyx-Conseil is seeking a Lead Software Developer to drive architecture and implementation using .NET Core, Azure, and SQL Server. The role focuses on building scalable solutions, guiding a development team, and ensuring high quality ...

Agilis Recruitment is proud to be partnering with an innovative global technology organisation at the forefront of developing sophisticated software platforms used to power complex, high-volume operations. With continued growth across their Engineering function ...

About 9fin9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

Job Description Arm’s Vulnerability Research and Tooling team is looking for a Senior Software Engineer to help build and scale Metis, our central security analysis platform. The team develops backend services and tooling that ...

Location: Cheltenham Salary: Competitive Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long‐term incentives including additional leave and retention ...

08th July, 2026We are looking to recruit an experienced and highly skilled Principal Software Engineer to lead the design, development, and optimisation of our mission-critical communication infrastructure. This role is central to ensuring the ...

LEAD SOFTWARE ENGINEER – C#/.NET Cheltenham Spa/Remote £70k - £75k DOE Agilis Recruitment is proud to be partnering with an innovative global technology organisation at the forefront of developing sophisticated software platforms used ...

About the role Theia Insights builds foundational financial intelligence products, including industry classification, knowledge graphs and factor risk models, for institutional investors. We serve some of the largest asset managers, hedge funds, index providers and ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...