22 of 22 Kubernetes Jobs in Doncaster

as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous More ❯

engineering teams across the full SDLC, from ideation to deployment, in a collaborative and high-impact environment. Drive architectural decisions and development best practices across technologies like Python, React, Kubernetes, object storage, Terraform, and both Linux/Windows deployments. Encourage a culture of creative problem-solving, A/B testing of processes, and continuous experimentation to improve team velocity and … scalable products Experience with platforms like AWS, DigitalOcean, and on-prem setups is helpful. Fluency with Agile/DevOps workflows, Jira/Confluence, and cloud-native tooling (e.g. Terraform, Kubernetes) Excellent interpersonal, leadership, and analytical skills Able to creatively solve complex problems and continuously improve delivery processes Agile certifications (Scrum Master, PMP, or equivalent) Hands-on with CI/CD More ❯

system reliability and uptime through automation, monitoring, and proactive incident response. Develop CI/CD pipelines, automated testing, and disaster recovery strategies. Container & Orchestration Management: Manage container orchestration using Kubernetes (GKE) and deploy containerized applications with a focus on performance, scalability, and security. Work closely with development, security, and product teams to ensure seamless integration, adherence to best practices, and … in AWS services and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker and Kubernetes (preferably GKE). Experience managing containerized workloads in production. Infrastructure-as-Code: Strong experience with Terraform. CI/CD and Automation: Proven skills in setting up and maintaining CI/ More ❯

Bit Bucket, TeamCity, Artifactory, jira, Phabricator and Octopus or equivalent Strong knowledge of different development environments (Git, Atlassian tools: JIRA, Confluence, Bitbucket) Good knowledge on containerization using Docker/Kubernetes Experience with configuration management tools Experience with monitoring tools Expertise in designing, analyzing and troubleshooting large-scale distributed systems. Systematic problem solving approach, combined with a strong sense of ownership More ❯

/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps). Experience with API testing tools (e.g., Postman, RestAssured). Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: ISTQB or equivalent certification. Experience with performance testing tools (e.g., JMeter, Gatling). Knowledge of BDD frameworks (e.g., Cucumber, SpecFlow More ❯

platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). More ❯

with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring More ❯

re Looking For: Solid commercial experience with GoLang - this is a must Hands- on knowledge of both AWS and Azure platforms Experience with containerization and orchestration ( e. g., Docker, Kubernetes ) Strong understanding of microservices and RESTful APIs Ability to work independently in a fully remote setup Availability during UK or Romania working hours Bonus if you have: Previous experience on More ❯

experience Proficiency in Rust or strong interest in becoming deeply proficient Experience building infrastructure for multiplayer or real-time applications DevOps/cloud-native experience (e.g., AWS/GCP, Kubernetes, Docker) Excellent communication and leadership skills Self-driven, with a startup mindset and strong ownership Bonus Points Prior experience in building MMOs or large-scale online games Familiarity with ECS More ❯

Social network you want to login/join with: col-narrow-left Client: Oracle Location: Doncaster, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 07.06.2025 Expiry Date: 22.07.2025 col-wide Job More ❯

.NET/C#, AWS, microservices, and distributed systems. Strong leadership and mentoring skills. Proficiency with messaging systems (SNS/SQS, Kafka), CI/CD, and container orchestration (EKS/Kubernetes). Passion for craftsmanship and engineering excellence. Bonus if you have experience in healthcare/clinical systems, semantic search, or front-end technologies like React/Next.js. ? What We Offer More ❯

global reach. Key Responsibilities Provide technical leadership to the DevOps function while remaining actively involved in hands-on engineering work. Manage and optimise AWS-based infrastructure with tools like Kubernetes and Terraform. Partner with development, product, and security teams to deliver robust, secure, and scalable systems. Oversee CI/CD processes and support multiple daily releases with minimal disruption. Shape More ❯

on engineering experience, with extensive use of AWS Deep familiarity with platform engineering or infrastructure roles in a SaaS business ideally Proficiency with modern DevOps practices, container orchestration (e.g. Kubernetes), infrastructure-as-code, and monitoring stacks History of managing teams, ideally remote A track record of delivering complex technical initiatives at speed Excellent written and verbal communication, with the ability More ❯

on engineering experience, with extensive use of AWS Deep familiarity with platform engineering or infrastructure roles in a SaaS business ideally Proficiency with modern DevOps practices, container orchestration (e.g. Kubernetes), infrastructure-as-code, and monitoring stacks History of managing teams, ideally remote A track record of delivering complex technical initiatives at speed Excellent written and verbal communication, with the ability More ❯

data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker, Kubernetes). ZONTAL is an Equal Opportunity/Affirmative Action Employer. All qualified applicant will receive consideration for employment without regards to race, color, religion, sex, pregnancy, sexual orientation, gender identity More ❯

of open-source models. We interact with our code and data traceability graph through our main application stack which is currently based on Next.js and deployed via Docker/Kubernetes in the cloud. Our code analysis pipelines are based on Antlr4 and Java. Git is where our code lives and GitHub Actions is how it gets out into the world. More ❯

Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or Founding Engineer More ❯

unlimited holiday What you’ll bring Solid commercial experience with Node.js and Typescript on large scale microservices architectures Extensive work on extremely high-traffic, distributed systems Good knowledge of Kubernetes and either Kafka or RabbitMQ Deep understanding of AWS and related tools Strong Computer Science fundamentals Happy working fully remote in a B2B capacity -- We make an active choice to More ❯

AWS), including automation for configuration scanning and remediation. Act as a subject matter expert on cloud security within engineering, providing guidance during design reviews and threat modelling sessions. Harden Kubernetes environments and enforce secure cluster configurations. Secure and manage infrastructure using Infrastructure-as-Code, with a focus on Terraform. Requirements: 5+ years of hands-on experience in cloud security, with … deep expertise in AWS. Strong background in secure infrastructure design, cloud-native security controls, and automation. In-depth understanding of Kubernetes, service meshes, API gateways, and secure API design. Ability to operate independently, take ownership of security initiatives, and drive continuous improvements. If you're passionate about cloud security and ready to help shape a more secure future, click to More ❯

Social network you want to login/join with: *** Please note that due to the nature of the work you must hold or be eligible to obtain DV level security clearance *** Responsibilities : Design, develop, and maintain secure and scalable data More ❯

forecasting and real-time pricing for hotel partners around the world. Specifically, you can expect to be involved in the following: Leading the design and maintenance of scalable infrastructure (Kubernetes, GCP) for ML-powered pricing systems Collaborating closely with Data Science teams to understand, support, and productionize predictive models Contributing hands-on to Python-based codebases, especially within data science … the go-to technical leader within the Science Platform team SKILLS AND EXPERIENCE The successful Software Engineering Manager will have the following skills and experience: Strong recent experience with Kubernetes, auto-scaling systems, and infrastructure on GCP Proficiency in Python, particularly in data science and ML-driven environments Experience working closely with Data Science teams and understanding algorithmic workflows Proven More ❯

practices and monitoring tools. Strong problem-solving and clear communication skills. A collaborative mindset and enjoy working with product and design teams. Bonus skills: Understanding of infrastructure tools (e.g., Kubernetes, GitHub Actions) and experience with AI tools. What success looks like in 6-12 months... ? Platform Experience: Contributing significantly to building and designing new features, demonstrating technical proficiency, ensuring the More ❯