DevOps practices across a growing team. Day to day: Architecting and building secure Python APIs using Django or Flask Deploying services to AWS, Azure, or GCP using Terraform and Kubernetes Mentoring devs, improving CI/CD and DevSecOps pipelines Managing performance, reliability, and system security Working with stakeholders across product, DevOps and compliance What you’ll bring: Deep knowledge of … Python with strong experience in RESTful API design Cloud-native deployment skills (AWS, Azure or GCP) Infrastructure-as-Code with Terraform, Docker, Kubernetes Strong understanding of Agile and DevOps engineering culture Comfortable leading technical discussions and code reviews Bonus if you have: Knowledge of GDS delivery standards Exposure to embedded or real-time systems Experience with big data or machine More ❯
DevOps practices across a growing team. Day to day: Architecting and building secure Python APIs using Django or Flask Deploying services to AWS, Azure, or GCP using Terraform and Kubernetes Mentoring devs, improving CI/CD and DevSecOps pipelines Managing performance, reliability, and system security Working with stakeholders across product, DevOps and compliance What you’ll bring: Deep knowledge of … Python with strong experience in RESTful API design Cloud-native deployment skills (AWS, Azure or GCP) Infrastructure-as-Code with Terraform, Docker, Kubernetes Strong understanding of Agile and DevOps engineering culture Comfortable leading technical discussions and code reviews Bonus if you have: Knowledge of GDS delivery standards Exposure to embedded or real-time systems Experience with big data or machine More ❯
Chesterfield, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
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 Code. You’ll be doing: Developing secure, high-performance APIs Working with databases like PostgreSQL, DynamoDB and MongoDB Deploying cloud-native services using tools like Terraform, Docker and Kubernetes Improving performance, security and observability in backend systems Collaborating with product managers, cloud engineers and designers What they’re looking for: Proven experience writing Python APIs (Django, Flask or FastAPI More ❯
as Code. You’ll be doing: Developing secure, high-performance APIs Working with databases like PostgreSQL, DynamoDB and MongoDB Deploying cloud-native services using tools like Terraform, Docker and Kubernetes Improving performance, security and observability in backend systems Collaborating with product managers, cloud engineers and designers What they’re looking for: Proven experience writing Python APIs (Django, Flask or FastAPI More ❯
Derby, England, United Kingdom Hybrid / WFH Options
Digital Waffle
and procedures. Required Skills and Qualifications: Proven experience as a DevOps Engineer, preferably with a focus on Azure cloud technologies. Strong knowledge of Azure services, including Azure DevOps, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure Networking. Experience with infrastructure as code tools such as Terraform, ARM templates, or CloudFormation. Proficiency in scripting languages such as PowerShell, Bash More ❯
long-term scalability. What you’ll be doing: Driving technical direction across backend Python services (Django/Flask) Shaping cloud infrastructure on AWS, Azure or GCP using Terraform and Kubernetes Mentoring a cross-functional team of developers and engineers Working closely with product, DevOps, and senior stakeholders to align delivery Ensuring systems are secure, resilient, scalable and built with long More ❯
long-term scalability. What you’ll be doing: Driving technical direction across backend Python services (Django/Flask) Shaping cloud infrastructure on AWS, Azure or GCP using Terraform and Kubernetes Mentoring a cross-functional team of developers and engineers Working closely with product, DevOps, and senior stakeholders to align delivery Ensuring systems are secure, resilient, scalable and built with long More ❯
Derby, England, United Kingdom Hybrid / WFH Options
Oliver James Associates Ltd
Design, develop, test, and deploy high-quality web applications using .NET Core , C# , and Angular . Build and maintain scalable microservices using RESTful APIs and containerized services (Docker/Kubernetes). Integrate AI/ML models into applications using Python , leveraging frameworks such as TensorFlow , scikit-learn , or PyTorch . Collaborate with cross-functional teams including DevOps, Data Science, and … workflows, model deployment, and basic data science principles. Knowledge of SQL and NoSQL databases (e.g., SQL Server, MongoDB, PostgreSQL). Experience with containerization tools like Docker and orchestration with Kubernetes . Familiarity with CI/CD pipelines and DevOps tools (e.g., Azure DevOps, GitHub Actions). Excellent problem-solving skills and the ability to work independently or in a team. More ❯
Derby, England, United Kingdom Hybrid / WFH Options
Oliver James
Responsibilities Design, develop, test, and deploy high-quality web applications using .NET Core, C#, and Angular. Build and maintain scalable microservices using RESTful APIs and containerized services (Docker/Kubernetes). Integrate AI/ML models into applications using Python, leveraging frameworks such as TensorFlow, scikit-learn, or PyTorch. Collaborate with cross-functional teams including DevOps, Data Science, and UI More ❯
well to compel others. C#/.Net in Azure Cloud. Tech Stack - One or more of these technical skills C#/.Net NodeJS Web API Messaging (Rabbit or Kafka) Kubernetes/Docker AWS/Azure GIT Terraform ORMs eg Entity Framework/NHibernate SQL Document DB REST SOLID TDD Agile/SCRUM Dev Ops CI/CD Experience Experience working 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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
on the below: Develop and maintain integration architectures across hybrid, on-premise, and multi-cloud environments. You will drive microservices and event-driven architecture design patterns, container orchestration (e.g., Kubernetes, Docker), and cloud-native best practices. Serve as the in-house expert for leading iPaaS solutions (Boomi, SnapLogic, Workato, Azure Integration Services), guiding the design and implementation of integration flows. More ❯
Chesterfield, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
terminal skills — manipulating systems efficiently without relying on abstraction Experience working on low-latency, high-throughput infrastructure, ideally in trading or similar real-time environments Hands-on with Docker (Kubernetes is a plus), infrastructure-as-code, and CI/CD tooling Strong scripting and automation experience in Python and Bash Familiarity with observability stacks (Prometheus, OpenTelemetry, eBPF) Cloud infrastructure experience More ❯
APIs, or OData etc. Experience with agile development methodologies and tools like JIRA, Azure DevOps, or similar. Familiarity with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes). Exposure to Mendix Studio Pro's advanced features like workflows, native mobile development, and offline capabilities. Excellent communication and stakeholder management skills. Understanding of DevOps practices, CI/CD 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 ❯
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 ❯
