1,476 to 1,500 of 1,548 Remote Kubernetes Jobs

for AI-driven trading Collaborate with internal infrastructure/platform teams to align capabilities and avoid duplication Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in … AI, ML infrastructure, and cloud-native tooling Tech Stack Programming: Python (Java familiarity is a plus) AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more On-Prem: Managed Kubernetes Platform and Hadoop ecosystem Why This Role is Different Direct Impact: Build AI tools that traders and quants use daily to optimize strategies Creative Freedom: Open collaboration and the chance … office environment in either engineering or analytical roles Passion for being hands-on and contributing to a collaborative engineering culture Nice to Have Experience with on-prem Hadoop and Kubernetes Familiarity with AWS cost management and optimization tools Knowledge of front-office developer workflows in financial services More ❯

for AI-driven trading Collaborate with internal infrastructure/platform teams to align capabilities and avoid duplication Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in … AI, ML infrastructure, and cloud-native tooling Tech Stack Programming: Python (Java familiarity is a plus) AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more On-Prem: Managed Kubernetes Platform and Hadoop ecosystem Why This Role is Different Direct Impact: Build AI tools that traders and quants use daily to optimize strategies Creative Freedom: Open collaboration and the chance … office environment in either engineering or analytical roles Passion for being hands-on and contributing to a collaborative engineering culture Nice to Have Experience with on-prem Hadoop and Kubernetes Familiarity with AWS cost management and optimization tools Knowledge of front-office developer workflows in financial services More ❯

analysis and discovery. Key Responsibilities: Architect and manage cloud infrastructure (OCI/AWS/Azure) to support complex compute and storage needs Automate deployment, configuration, and scaling using Terraform , Kubernetes , and related tools Design and maintain object storage , compute clusters , and disaster recovery solutions Implement best practices in DevSecOps , identity and access management , and network security Collaborate with data scientists … researchers, and software engineers to deliver reliable, scalable systems Ideal Profile: Strong background in cloud platform engineering or DevSecOps Hands-on experience with Terraform , Kubernetes , and cloud architecture (preferably OCI) Familiarity with high-throughput or data-intensive environments (e.g. scientific research, bioinformatics, analytics) Passion for automation, performance optimisation, and secure system design Location: Oxford, UK (Hybrid) Seniority: Senior-level More ❯

to the development of backend services focused on security, billing, and monitoring systems. You will work within a fast paced, distributed environment using technologies such as Golang, managed databases, Kubernetes, and scalable infrastructure components. This position is hybrid, based in Amsterdam. Key Responsibilities Design, implement, and maintain backend services in Golang Work on systems for billing and monitoring within the … in Golang or e.g. Python, Java. Proven experience with or readiness to transition into Golang Minimum of 2 years of experience with cloud technologies Familiarity with distributed systems and Kubernetes is a strong plus Strong problem solving and architectural design skills Being in the EU. Visa sponsorship is possible. Compensation and Benefits Base salary between €90,000 and More ❯

system is secure, scalable, and sustainable. What You’ll Do Define and drive the architectural vision across multiple engineering teams Guide system design for complex, cloud-native, containerised environments (Kubernetes, Terraform, Helm, Flux) Own the evolution of our data model and processing platforms Embed best practices in observability , security , and testing across the organisation Anticipate dependencies and unblock teams before … designing and delivering production systems at scale Expertise in modern backend architectures (Node.js, Python, Go) and fluency with frontend ecosystems (React, TypeScript) Deep experience with cloud-native infrastructure (Terraform, Kubernetes, Helm, Flux) Strong grasp of security, observability, and operational excellence Proven ability to influence and guide without formal authority Track record of mentoring and developing high-performing engineering teams Why More ❯

Staff Engineer. AI Legal Tech Firm. Typescript/React/AWS. £80,000 +Amazing benefits. 3 Days a week Hybrid. Description As a Staff Engineer at my award winning client,, you’ll lead the delivery of large-scale features and More ❯

Staff Engineer. AI Legal Tech Firm. Typescript/React/AWS. £80,000 +Amazing benefits. 3 Days a week Hybrid. Description As a Staff Engineer at my award winning client,, you’ll lead the delivery of large-scale features and More ❯

Staff Engineer. AI Legal Tech Firm. Typescript/React/AWS. £80,000 +Amazing benefits. 3 Days a week Hybrid. Description As a Staff Engineer at my award winning client,, you’ll lead the delivery of large-scale features and More ❯

Staff Engineer. AI Legal Tech Firm. Typescript/React/AWS. £80,000 +Amazing benefits. 3 Days a week Hybrid. Description As a Staff Engineer at my award winning client,, you’ll lead the delivery of large-scale features and More ❯

About Us Software helps to enable the world-leading science performed at Diamond. Our software systems facilitate operations at all levels, including the low-level control of synchrotron and beamline hardware, the planning, execution and monitor of experiments, data archiving More ❯

patch workflows across Linux, UNIX, and virtualized environments. Coordinate with infrastructure and operations teams to ensure secure and timely patch rollouts. Integrate patching orchestration with container platforms (Docker/Kubernetes) and monitoring dashboards (Grafana/BI tools). Develop APIs and system interfaces to enable automation and reporting. Analyze patch performance and trend data to identify risk and ensure system … stability. Maintain dashboards, documentation, and audit compliance for patch execution and reporting. Key Skills (Keywords Only) Linux, UNIX, Patch Management, System Administration, Virtualization, Docker, Kubernetes, Python, PHP, Grafana, BI Tools, Data Analysis, Statistics More ❯

patch workflows across Linux, UNIX, and virtualized environments. Coordinate with infrastructure and operations teams to ensure secure and timely patch rollouts. Integrate patching orchestration with container platforms (Docker/Kubernetes) and monitoring dashboards (Grafana/BI tools). Develop APIs and system interfaces to enable automation and reporting. Analyze patch performance and trend data to identify risk and ensure system … stability. Maintain dashboards, documentation, and audit compliance for patch execution and reporting. Key Skills (Keywords Only) Linux, UNIX, Patch Management, System Administration, Virtualization, Docker, Kubernetes, Python, PHP, Grafana, BI Tools, Data Analysis, Statistics More ❯

team specializes in solving complex technical challenges, particularly in the area of back end development. This role focuses on developing and sharing new technologies. You might be working on Kubernetes, improving database scalability, setting up a new data center, or giving Tech Talks to other teams. In this role, you will: Have a strong interest in working on infrastructure projects … years experience as a developer, and at least 2 years experience as architect or with (lead) architecture; Experience with our Technology stack: Java, Spring Boot, Tomcat, Linux, Kubernetes, CI/CD; Experience creating both high level and low level designs; creating and safeguarding a technical roadmap or architecture; Experience working with multiple product teams simultaneously, strong communicator and able to … teams; Technical writing, modeling designs in a picture; Experience with Scrum and Agile; Good knowledge of the English language and eagerness to learn Dutch. Nice to have Experience with Kubernetes; What we offer: At Realworks we offer a lot of space for your own initiatives and personal development. We are located in a nice office in the city centre of More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯