151 to 175 of 708 Remote Kubernetes Jobs

productivity, SDLC tooling, and CI/CD processes Familiarity with source control, code review, build systems, testing frameworks, and IDEs Experience in large-scale agile environments Desirable: Knowledge of Kubernetes , containers , and cloud platforms (AWS/Azure) System admin experience (Linux/Windows) Familiarity with tools like IntelliJ, VS Code, Bitbucket, GitHub, Jira, Jenkins, Terraform, and Ansible Why Join? Work More ❯

JavaScript is a plus. Proven experience building and leading teams delivering secure, scalable systems. Solid grasp of microservices, REST APIs, and architectural best practices. Proficiency in containerization tools (Docker, Kubernetes), and CI/CD pipelines (e.g. GitHub Actions). Exposure to cloud platforms - Azure preferred , but AWS or GCP also considered. Familiarity with monitoring/logging tools and automated testing More ❯

experience leading engineering teams and delivering distributed systems at scale. Strong grasp of system architecture, design patterns, and secure coding practices. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and microservices. Experience with at least one cloud platform - Azure preferred, but AWS or GCP also welcome. Bonus Skills: Knowledge of database systems, test automation frameworks, and monitoring tools (e.g. More ❯

MySQL, MSSQL, PostgreSQL Familiarity with Redis, ElasticSearch and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker or Kubernetes and Cloud platforms: AWS (preferred), Azure, or GCP Beneficial to have Magento or other open-source e-commerce platform integration experience Prior experience building middleware for data sync, order processing More ❯

Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. Knowledge of microservices architecture, containerization (Docker, Kubernetes), and event-driven patterns. Strong understanding of API design, including REST, GraphQL, and WebSockets. Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code (Terraform, AWS CDK). More ❯

standards Lead architectural reviews and provide technical guidance on cloud solutions Stay current with emerging cloud technologies and advise on adoption strategies Use tools like AWS, Azure, GCP, Terraform, Kubernetes, Docker, Jenkins, Ansible , and others Requirements Minimum Bachelors degree in Computer Science, Information Systems, or a related field Proven experience as a Cloud Architect or similar senior cloud infrastructure role More ❯

C++ CICD tools such as Azure DevOps, GitHub Actions, Gitlab, Jenkins, TeamCity Scripting languages such as PowerShell, bash Observability/Monitoring: Prometheus, Grafana, Splunk Containerisation tools such as Docker, K8S, OpenShift, EC, containers Hosting technologies such as IIS, nginx, Apache, App Service, LightSail Analytical and creative approach to problem solving We encourage you to apply , even if you don't More ❯

management, and anti-cheat systems. Deep understanding of database systems, including SQL & NoSQL solutions (PostgreSQL, Redis, MongoDB, etc.). Strong grasp of microservices architecture, server orchestration, and containerisation (Docker, Kubernetes). Experience working in high-performance, low-latency environments, optimising backend logic for multiplayer scalability. Bonus Skills: Expertise with modern DevOps practices, CI/CD pipelines, and automated infrastructure management. More ❯

to write efficient and maintainable code Deep understanding of Spark internals (RDDs, DataFrames, DAG execution, partitioning, etc.) Experience with Airflow DAGs, scheduling, and dependency management Knowledge of Git, Docker, Kubernetes, Terraform, and apply best practices of DevOps for CI/CD workflows Excellent problem-solving skills and ability to optimize large-scale data processing. Experience in leading teams and working More ❯

RDDs, DataFrames, DAG execution, partitioning, and performance optimization techniques. Experience with designing and managing Airflow DAGs, scheduling, and dependency management. Knowledge of CI/CD pipelines, containerization technologies (Docker, Kubernetes), and DevOps principles applied to data workflows. Excellent problem-solving skills and a proven ability to optimize large-scale data processing tasks. Prior experience in leading teams and working in More ❯

communication and presentation skills, capable of effectively conveying complex technical concepts to both technical and non-technical audiences. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Bachelor's degree in Computer Science, Engineering, or a related technical field. Preferred Qualifications: Experience in the aerospace, defense, or satellite communications industries. Familiarity with software-defined networking and More ❯

on Backend Java development and it's ecosystem (Spring boot, Maven) Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able to gain and maintain the highest More ❯

technical guidance to cross-functional teams Programming in Python, Java, .NET, JavaScript, or C++ Using MLOps tools and frameworks Source control with Git, Mercurial, or Perforce Containerization with Docker, Kubernetes Additional experience in the following is desirable but not mandatory, and we will support your development: Refining models in collaboration with data scientists Improving MLOps processes Ensuring data quality and More ❯

interactions with the underlying operating systems. Analyze day-to-day operations and write scripts to improve daily tasks. Providing O&M support for supported servers Familiarity with containerization (Docker, Kubernetes) Understanding of storage systems and backup solutions Engage with engineering teams as necessary to field solutions Track all relevant SLA/SLRs and provide reports as required Collaborate with DAF More ❯

a strong focus on Backend Python development and its core ecosystem. Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of More ❯

Skills & Experience Required: Experience using modern configuration management tools (such as Ansible, Chef or similar) Experience working with Terraform Experience working with docker containers & container orchestration tools (such as Kubernetes, OpenShift or Docker Swarm) Experience both using and maintaining CI/CD tools (such as Jenkins or similar) Experience with monitoring tools such as InfluxDB, Prometheus or Grafana. Experience of More ❯

building and running cloud-based applications using JVM languages such as Java, Kotlin, Groovy or Scala. An understanding of container orchestration tooling such as Docker Compose, Amazon ECS or Kubernetes Professional experience using public cloud offerings from any of Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure. Proven ability to integrate applications with various database technologies (SQL More ❯

. Experience with PHP, C#, .NET Core, React, Python, AWS EKS. Experience working on AI projects ideal! Strong knowledge of Git, CI/CD pipelines, and containerization (Docker/Kubernetes). Experience working in environments with AI/ML components or interest in learning data workflows for ML applications . Bonus if you have e xposure to Kafka, Spark, or More ❯

and time management skills. Strong analytical and problem-solving skills. AWS cloud infrastructure/Relevant AWS certifications. The nice to haves: Working knowledge of domain-driven design. Docker/Kubernetes and container orchestration tools. Knowledge of design patterns. Previous experience working in e-commerce and/or financial services. About us: AJ Bell is one of the fastest-growing investment More ❯

and time management skills. Strong analytical and problem-solving skills. AWS cloud infrastructure/Relevant AWS certifications. The nice to haves: Working knowledge of domain-driven design. Docker/Kubernetes and container orchestration tools. Knowledge of design patterns. Previous experience working in e-commerce and/or financial services. About us: AJ Bell is one of the fastest-growing investment More ❯

in machine learning methodology, best practices, and frameworks Understanding of microservices architecture, RESTful API design, development, and integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics More ❯

in machine learning methodology, best practices, and frameworks Understanding of microservices architecture, RESTful API design, development, and integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics More ❯

UK and International Data and Digital Engineering Teams Thales Research organisations focusing on AI technologies Key Responsibilities and Tasks: Set up and configure ML environments and deployment tools (e.g., Kubernetes, Docker). Write scripts to automate workflows and ensure reproducibility of ML experiments. Conduct regular performance reviews and data audits of deployed models. Work closely with data scientists to facilitate More ❯

collaboration, and continuous learning. 8+ years of experience in softwar engineeringe or cloud platform roles, including at least 2 years in a leadership or management role. Deep expertise with Kubernetes, cloud infrastructure (AWS/GCP), and databases such as MySQ More ?L Senior Product Manager - AI Platforms Product & Engineering Belfast Kadence Limitedand team rituals into smart, adaptive flows that eliminate More ❯

Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed More ❯