24 of 24 Permanent Kubernetes Jobs in Cambridge

oriented architecture in production environments. Senior-level Software Engineering experience. Programming/scripting skills: Shell, Ansible, Go or Python Experience with SAML Proven track record of deploying and operating Kubernetes and containers in production. Experience building, managing, and debugging CI/CD pipelines. Experience with Infrastructure-as-Code using Terraform Experience deploying and operating infrastructure in at least one public More ❯

/AWS/Azure/GCP/nodeJS/SQL/noSQL/ansible/HAProxy/linux/UNIX/Amazon web services/Azure/GCP/Kubernetes/Cloud/Ansible/Python/Linux/UNIX Cloud DevOps Engineer/Cloud Automation Engineer/Cloud Infrastructure Engineer/Cloud Deployment Specialist/Cloud Operations Engineer/ More ❯

Both pre-silicon and post-silicon validation expertise. Familiarity with Arm SystemReady SR Compliance Program Experience with Security Development Lifecycle (SDL) practices. Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. In Return More ❯

and CI/CD You have experience with automation tooling such as Terraform, Ansible, Puppet, Chef Nice to have: You have experience with container based software development (eg, Docker, Kubernetes). You understand build systems and the complexities of packaging and shipping software. You have experience working with Cloud providers (ideally Azure). You have experience with Sys-Admin responsibilities More ❯

and/or communities Exceptional written and verbal communication skills, with the ability to present complex technical concepts clearly to diverse audiences Some familiarity with containerization technologies (Docker, Podman, Kubernetes) and cloud (AWS, GCP) application deployment including monitoring (Grafana) Desire to work in a rapidly evolving startup environment where you will have a high impact Strong academic background with at More ❯

for Enterprise software products. Good communication skills - collaboration within the team is important. Demonstrable experience working on complex and large code bases. Additional experience with SQL Server, Docker and Kubernetes would be desirable. Team culture is important, so interested candidates should enjoy mentoring junior members of the team and contributing to projects so deadlines are met. In turn, the company More ❯

in the following would be advantageous (but are not requirements) Experience of large-scale commercial software development Profiling and optimization SQL Server Containers (e.g. Docker) and container orchestration (e.g. Kubernetes) At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are More ❯

improving software quality. Skilled in defect identification, data analysis, and performance benchmarking. Proficiency in Git and distributed version control systems. Desirable Skills Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. Accommodations at More ❯

development Proven track record of technical leadership in cross-functional teams Deep experience with React, TypeScript, .NET Core, SOAP/REST APIs, and MySQL/PostgreSQL, Red Hat OpenShift, Kubernetes Understanding of DevOps, cloud deployments, and service observability Bonus: Interest/experience in AI, digital twins, Nvidia Omniverse SDK & APIs, Universal Scene Description What We Offer : Reimbursement for tuition and More ❯

to ensure prompt delivery Deep experience in Python and PyTorch/TensorFlow. Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts More ❯

in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Proven ability to collaborate effectively in Agile/Scrum More ❯

in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Proven ability to collaborate effectively in Agile/Scrum More ❯

Job Overview: We are seeking a highly skilled Kubernetes & Containers Engineer to join our outstanding cloud infrastructure and platform engineers. The successful candidate will play a pivotal role in improving developer experience and operational design of our Kubernetes Platform as a Service. This platform empowers developers and engineers to deploy Kubernetes clusters that align with standard design patterns, across public … and private cloud environments. The ideal candidate should possess a robust background in deploying and running Kubernetes clusters across multi-cloud and hybrid-cloud environments at scale. Responsibilities: Deploy and manage enterprise-scale Kubernetes clusters hosting distributed application services in a multi-tenant environment. Work proficiently with multi-cloud or hybrid-cloud setups, including data centers virtualisation technologies like VMware … Harvester, OpenStack, or others. Contribute to the Kubernetes Platform as a Service product roadmap, including the orchestration of pods, services, deployments, stateful sets, networking (CNI plugins, ingress controllers, service meshes), along with expertise in DNS management (both internal and external), load balancing (open source and cloud-native), and the secure integration of certificates and secrets management. Support engineering teams in More ❯

and influencing engineering teams. "Nice To Have" Skills and Experience : Contributions to open-source fuzzing tools, sanitisers, or security research publications. Knowledge ofdistributed fuzzing at scale (GCP/AWS, Kubernetes, or bare-metal clusters). Familiarity with kernel, embedded, or firmware fuzzing (e.g., Syzkaller, QEMU-based harnesses). Background in reverse engineering, static analysis or symbolic execution. Experience integrating fuzzing More ❯

and Node and experience with Bash and Python. Experience of Linux based infrastructure design, provisioning, and maintenance. A good understanding of Cloud platforms (AWS, GCP, Azure) with knowledge of Kubernetes, and other DevOps tools (e.g. Docker, Kubernetes, Terraform, Helm, ArgoCD) and CI/CD (Jenkins, Artifactory, Gitlab). "Nice To Have" Skills and Experience : Building or integrating with Internal Developer More ❯

solutions using CI/CD, binary, secret, and test management. Developing services using SaaS, cloud-based environments, and large-scale clustered compute. Exploiting virtualization and cloud technologies using Docker, Kubernetes, and Terraform. Engineering experience - improving the daily life and productivity of engineers across Arm. Required Skills and Experience: Proven background in Software Development and Design Strong experience with at least … one programming language (Python, Groovy, Java, Golang, C, C++). Containerization (Docker, Kubernetes, Helm, ArgoCD). Experience of Linux based infrastructure design, provisioning, and maintenance. Good knowledge of Cloud services. Experience of at least one of the following: AWS, Azure, Google Cloud Platform. Proven experience in Infrastructure as code technologies such as Terraform, Ansible, Puppet. For additional details and the More ❯

and Node and experience with Bash and Python. Extensive experience of Linux based infrastructure design, provisioning, and maintenance. Solid understanding of Cloud platforms (AWS, GCP, Azure) with knowledge of Kubernetes, and other DevOps tools (e.g. Docker, Kubernetes, Terraform, Helm, ArgoCD) and CI/CD (Jenkins, Artifactory, Gitlab). "Nice To Have" Skills and Experience: Building or integrating with Internal Developer More ❯

We are a dynamic video game startup based in Cambridge, UK, dedicated to creating immersive and innovative gaming experiences. We are seeking a talented Senior Software Engineer (Infrastructure) to join our team and help us develop and maintain our cutting More ❯

such as Backstage. Proficiency in web development with React, TypeScript and Node and experience with Bash and Python. Solid understanding of Cloud platforms (AWS, GCP, Azure) with knowledge of Kubernetes, and other DevOps tools (e.g. Docker, Kubernetes, Terraform, Helm, ArgoCD) and CI/CD (Jenkins, Artifactory, Gitlab). In Return: We will provide the training and environment to excel in More ❯

Responsibilities: Develop, deploy, and manage scalable, reliable, and secure infrastructures across on-premises and cloud platforms such as AWS, Azure, and Google Cloud, including multi-cluster and multi-regional Kubernetes environments. Create and maintain automation scripts (Python, Bash, Shell) and tools (GitLab, Terraform, Vault, Ansible) to streamline deployment, monitoring, and management processes using Infrastructure as Code (IaC). Implement and … industry trends and emerging technologies to enhance operational performance. Required Skills and Experience: Proven experience in cloud infrastructure automation. Deep knowledge of cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes, Rancher), automation tools (Terraform, Ansible), and monitoring solutions (Prometheus, Grafana). Strong scripting and programming skills in Bash, Python, and Go. Experience in DevOps, SRE, or Platform Engineering roles with More ❯

FastAPI (or similar), Python, and modern backend frameworks Design and maintain infrastructure for ML model serving Collaborate with ML engineers to optimize training and deployment workflows Manage cloud infrastructure - Kubernetes, Terraform, CI/CD pipelines Create dashboards and analytics tools using React or similar technologies Lead system design, performance tuning, and ensure system reliability What We're Looking For 5+ … professional software engineering experience Strong Python backend development skills (FastAPI or equivalent) Experience scaling cloud-native systems (preferably on AWS) using microservices and infrastructure-as-code Deep knowledge of Kubernetes and Terraform in production environments More ❯

Gearset is the leading DevOps platform for Salesforce - our users can build and manage many aspects of their Salesforce development from within Gearset, from complex CI/CD pipelines to disaster recovery. The Gearset platform is a standalone tool that More ❯

with tools such as: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana or HashiCorp Vault Experience with securing applications, services, and data, including authentication, authorization, TLS, and encryption Exposure to Kubernetes (administering, deploying, or developing apps on K8s clusters) Understanding of compliance and system hardening in regulated environments (e.g., HIPAA, PCI-DSS, SOC 2) Experience running Windows Server in production Knowledge More ❯

with tools such as: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana or HashiCorp Vault Experience with securing applications, services, and data, including authentication, authorization, TLS, and encryption Exposure to Kubernetes (administering, deploying, or developing apps on K8s clusters) Understanding of compliance and system hardening in regulated environments (e.g., HIPAA, PCI-DSS, SOC 2) Visa is an EEO Employer. Qualified applicants More ❯