7 of 7 Permanent Kubernetes Jobs in Altrincham

engineering experience Strong grasp of backend development, APIs, and distributed systems Proven experience in fast-moving or high-growth startup environments Familiarity with cloud infrastructure and containerisation (Docker/Kubernetes) A problem-solver who thrives on autonomy and ownership What’s On Offer Fully remote role (UK/Europe timezone) Competitive salary + meaningful equity A chance to work with More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of More ❯

features out to over 10,000,000 users and also close to 5,000 internal staff. You Have: Strong experience in Java/Python/Golang programming. Experienced with K8s/Docker Experience with AWS or other cloud platforms Strong test driven development Strong scalability and performance mindset Location - Full remote (from the UK) Duration - 6 months (Ave tenure of More ❯

of working with Azure core services as well as AKS, App Services, API Management Strong knowledge of Terraform Solid CI/CD background using Azure DevOps or GitHub Actions Kubernetes experience in production (AKS): cluster operations, node pools, networking (CNI), RBAC and workload identity. Experience with GitOps, and container build pipelines (ACR, OPA policies, image scanning). Working knowledge of More ❯

integral part of their engineering function alongside the Lead Frontend Engineer & Head of Tech. Stack: Must have: Go | REST APIs | gRPC Microservices | DynamoDB | MySQL | Agile A big plus! Docker | Kubernetes | React | CI/CD | AWS & GCP What you'll do: Tech Leadership Lead a high-impact project end-to-end Set the bar for coding standards and architecture Mentor 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 ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯