1 to 25 of 50 Remote Kubernetes Jobs in Berkshire

Experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL and database design. Excellent problem-solving and communication skills. Familiarity with CI/CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka). Knowledge More ❯

Strong background as a Java Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working More ❯

of software development (server-side development) Experience with deployment and maintaining of highly available solutions on AWS Experience in system integration and deployment of cloud-based technology (IaaS, Docker, Kubernetes, OpenStack, monitoring system, authentication system, repository) Experience of writing infrastructure as a code (IaC) using Terraform Experience in various database repository model (SQL, NoSQL, S3, NAS) as a designer or More ❯

attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration More ❯

part in Agile sprints, reviews, and planning sessions. What We’re Looking For: Strong Python developer with experience in multithreaded programming and frameworks like Flask. Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Experience with Node.js and React for adding features to web pages More ❯

and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and Kubernetes for container orchestration, scalability, and efficient delivery. Define and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform. Create, maintain, and optimize CI/CD pipelines using More ❯

z2bz0 heads) in global banks. Experience with Microsoft-based legacy systems (.NET, C#, SQL, Azure, on-prem/cloud) and emerging technologies including Linux, Java, microservices, and containerisation (Docker, Kubernetes, Helm, Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data platforms (Azure More ❯

Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical More ❯

end-to-end delivery - from prototyping to production release. Build and optimize RAG pipelines, LLM integrations, and orchestration workflows Deploy and monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and operations teams Champion responsible AI practices and More ❯

a collaborative, Agile environment. Desirable Skills Azure certification(s) (e.g., AZ-104, AZ-305, AZ-400). Experience with hybrid cloud and on-premises integrations. Familiarity with containerization (Docker, Kubernetes). Knowledge of cost optimization and FinOps in Azure. More ❯

grade, public-facing software in an agile delivery environment Familiarity with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic More ❯

Rust, shell scripting Automation : Ansible (preferred), Infrastructure-as-Code practices Monitoring : Grafana, InfluxDB (self-hosted) CI/CD : GitHub Actions, local custom runners for hardware-based testing Infrastructure : Docker, Kubernetes, PostgreSQL, RabbitMQ, Mosquitto Environments : Ubuntu Linux, Windows, WSL, on-prem and hybrid systems About You You're someone who enjoys taking ownership of infrastructure and enabling great engineering through robust More ❯

Rust, shell scripting Automation : Ansible (preferred), Infrastructure-as-Code practices Monitoring : Grafana, InfluxDB (self-hosted) CI/CD : GitHub Actions, local custom runners for hardware-based testing Infrastructure : Docker, Kubernetes, PostgreSQL, RabbitMQ, Mosquitto Environments : Ubuntu Linux, Windows, WSL, on-prem and hybrid systems About You You're someone who enjoys taking ownership of infrastructure and enabling great engineering through robust More ❯

firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you will need to be able to come to the City if needed. More ❯

concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science More ❯

concurrency , networking , and low-level performance optimisation Experience with microservices , distributed systems , or blockchain technologies is highly desirable Familiarity with Linux systems , CI/CD pipelines , containerisation (Docker/Kubernetes) , and cloud infrastructure (AWS, GCP, or Azure) A pragmatic engineer who values clean code, testing, and long-term maintainability Why Join Us Work on technically challenging projects where performance and More ❯

translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of shared More ❯

11+) and Spring Boot. You have proven ability to design and lead backend architectures for complex systems. You are familiar with cloud environments (AWS is mandatory) and container orchestration (Kubernetes). You are experienced in event-driven architectures and messaging platforms such as Kafka. You have strong understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of More ❯

and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks More ❯

disciplines Bonus: experience with identity systems (e.g. Microsoft Entra ID/Azure AD), SSO, or HRIS integration OUR TECH STACK Frontend: React, JavaScript Backend: C#, .Net, Azure Service Fabric, Kubernetes Infrastructure: Azure, Service Fabric, Cosmos DB WHY COCENTRIC Be a key part of a product that’s transforming how the frontline workforce connects Help shape the technical foundation of a More ❯

Experienced in Agile and modern DevOps practices Excellent communicator, able to inspire and influence across technical and non-technical teams Tech Environment (indicative) JavaScript/TypeScript, Node.js, React, AWS, Kubernetes, Terraform, CI/CD, Microservices Why Join High-impact leadership role within a product-led, scaling business Collaborative, engineering-first culture with modern tooling Competitive salary, share options, and flexible More ❯

FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and cross-disciplinary More ❯

aims to revolutionise the operating platforms for energy retailers globally. Our tech stack is very fluid, but broadly you can find yourself working with: Typescript, Node JS, Terraform, Gitactions, Kubernetes, Docker, AWS, Kafka, GraphQL Responsibilities Contribute to the design, development, and maintenance of scalable backend services using TypeScript . Help build event-driven systems that process data reliably and in More ❯

Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. Translating business requirements into technical specifications. Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery. Implementing and managing GCP networking configurations. Using IaC tools like Terraform to automate infrastructure provisioning and management. Implementing and managing More ❯

Collaborate closely with traders and technical teams to deliver impactful solutions What You'll Bring: Strong Python and SQL expertise Experience with AWS and Snowflake Familiarity with Docker/Kubernetes, CI/CD, and Linux Background in trading is highly desirable Ability to communicate effectively with both technical and commercial stakeholders Benefits: Up to 30% bonus Hybrid working (3 days More ❯