16 of 16 Permanent Kubernetes Jobs in Ipswich

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 ❯

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 ❯

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 ❯

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 ❯

Social network you want to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our 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 ❯

principles and practices (e.g. OWASP for Machine Learning) - Working knowledge of Unix-based CLI commands, source control and scripting - Working knowledge of containerisation (e.g. Docker) and container orchestration (e.g. Kubernetes) - Working knowledge of a cloud data platform (e.g. Databricks) and a data lakehouse architecture (e.g. Delta Lake) - Working knowledge of the AWS cloud technology stack (i.e. S3, Glue, DynamoDB, IAM More ❯

Social network you want to login/join with: col-narrow-left Client: Oracle Location: 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 Description: Oracle’s More ❯

guides Participate in on-call rotation to ensure 24/7 coverage of global trading systems Use the latest technology stacks such as AWS, Java 17, Python 3, HDF5, Kubernetes, Kafka and Argo Candidate Requirements Years experience in financial technology support, preferably in electronic trading Strong understanding of market data structures and exchange connectivity Scripting abilities in Python, Bash, or 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 ❯

know how to work alongside an incredible folks who are, theyll be leveraging tools like New Relic or Cloudwatch to keep performance on point, and work with Docker and Kubernetes This is a primarily Remote role with occasional trips to the office to connect with the team. We’re big on flexibility and empowering our people to work in a More ❯

Backend Software Engineer – 6 months contract – UK(Remote) – £48 - £54/Hour Must Have AWS Elastic Kubernetes Service (EKS) golang GraphQL PostgreSQL Python You will work with the existing engineering team and help contribute to the direction of the projection and team. The existing team is a Product team that is building backend for user-facing product. You will help … are also migrating a few of our endpoints from Python to Go. Skills in testing, SOLID and design patterns are a must. Systems architecture. We make extensive use of Kubernetes, Kafka, and Postgres, with internal tools for metrics/alerting and Grafana for dashboarding. We also use Redis in few of our services. Work cross-functionally with product, design, and 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 ❯

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 ❯