web applications. Strong knowledge of cloud platforms (AWS, Azure, GCP) and their application in modern infrastructure. Familiarity with DevOps principles, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes). Proven ability to manage multiple complex projects in a fast-paced environment. Experience collaborating with technical teams, including DevOps, infrastructure engineers, and software developers. Exceptional organisational, communication, and leadership More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Computer Futures
Engineering Familiarity with IaC tools like Terraform Solid understanding of modern SDLC practices and secure coding Highly Advantageous: Experience with Generative AI tools (e.g., GitHub Copilot) Knowledge of Docker, Kubernetes, and cloud platforms like AWS or Azure Security best practices in a DevOps/cloud context Please click here to find out more about our Key Information Documents. Please note More ❯
Engineering Familiarity with IaC tools like Terraform Solid understanding of modern SDLC practices and secure coding Highly Advantageous: Experience with Generative AI tools (e.g., GitHub Copilot) Knowledge of Docker, Kubernetes, and cloud platforms like AWS or Azure Security best practices in a DevOps/cloud context Please click here to find out more about our Key Information Documents. Please note More ❯
models, deploy via Airflow/ADF, monitor drift, automate retraining. Soft skills: clear comms, concise docs, and a collaborative approach with DS, Eng & Product. Bonus extras: Spark/Databricks, Kubernetes, big-data panel or ad-tech experience. More ❯
you'll need Proven experience leading DevOps or DevSecOps projects across cloud and hybrid platforms Strong working knowledge of agile delivery methodologies (Scrum, SAFe, Kanban, etc.) Deep expertise in Kubernetes (vanilla, EKS, AKS, OpenShift), CI/CD pipelines, and infrastructure as code (Terraform) Security integration experience across the DevSecOps lifecycle, including: SAST, DAST, SCA, and IAST tools (e.g., Checkmarx, Veracode More ❯
and building robust backend systems using technologies such as Node.js, Python, MongoDB, PostgreSQL, Redis, RabbitMQ, and Kafka Demonstrated ability to scale production systems in cloud-native environments, familiarity with Kubernetes, NGINX, and container orchestration Experience building and maintaining real-time applications, including working with WebSockets and event-driven architectures Understands that solving problems means working across the stack from API More ❯
or related field, or equivalent practical experience. Proven experience as a software developer. Strong proficiency in Go programming and microservices architecture. Experience with AWS and containerization technologies (e.g., Docker, Kubernetes). Familiarity with CI/CD pipelines and version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience More ❯
Angular, React, Vue Experience with commonly used relational database: MySQL, SQL Server, Postgres Experience with commonly used non-relational databases: MongoDB, DocumentDB, DynamoDB Docker and container-hosting: AWS ECS, Kubernetes General Amazon AWS knowledge (or equivalent): EC2, S3, CloudFront, Elastic Beanstalk, Dynamo DB Basic networking knowledge and troubleshooting Experience with any of the following tools and technologies: Atlassian Jira, GitHub More ❯
models, deploy via Airflow/ADF, monitor drift, automate retraining. Soft skills: clear comms, concise docs, and a collaborative approach with DS, Eng & Product. Bonus extras: Spark/Databricks, Kubernetes, big-data panel or ad-tech experience. More ❯
years in DevOps, SRE, infrastructure, or production support roles; 4 - 5+ years in a technical leadership or senior management position; Deep experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, Terraform, and related technologies; Proven track record of scaling and managing highly available systems in complex environments; Exceptional leadership, mentorship, and coaching skills, with a genuine passion for developing technical More ❯
specifically AWS; • Experience in Docker applications will be a plus; • Familiarity with open-source software a plus; • Familiarity with JIRA, Jenkins, Elasticsearch, Grafana, Kibana is a plus; • Experience in Kubernetes will be a plus; Additional Information • Communication is extremely important; our engineers work across every team in the organization. Candidates need to be able to communicate not only with other More ❯
years of hands-on experience deploying Computer Vision models in production environments. Strong proficiency in Python. Experience with cloud environments (AWS, GCP) and tools for ML model deployment (Docker, Kubernetes, etc.). Technical Skills: In-depth understanding of computer vision techniques, including image classification, detection, and segmentation. Familiarity with Large Vision Models is a big plus. Knowledge of SQL and More ❯
pipelines (GitLab, GitHub or equivalent). Strong understanding of system architecture and design. Experience collaborating with Product Managers to ensure delightful customer experiences. Expertise in Docker with deployment on Kubernetes preferred. Any exposure to Rust would be a bonus. A background in mathematics, and numerical simulations in particular, would be a bonus. What we can offer you: The Faculty team More ❯
graphics APIs such as OpenGL Experience working in and configuring cloud environments (e.g. AWS, Azure, GCP) Experience working with software containers (Docker, Podman) and container orchestration tools such as Kubernetes or Docker Swarm Personal attributes: Flexible self starter with initiative and the ability to pick up and develop projects independently Intellectually curious and driven to ask the right questions in More ❯
risks, champion new ideas, and cultivate your craft. What You Bring 7+ years of applicable experience. Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using languages such as Python, Go, C#, Java, or similar. Experience of code collaboration such as GitHub, ArgoCD, or similar. Experience utilizing CI More ❯
applications in-house, which gives us unique flexibility and innovative strength. Our tech stack includes modern technologies such as Java, Kotlin, TypeScript, and Python, CI/CD pipelines, containers, Kubernetes, as well as Azure Cloud, Azure SQL Database, and Oracle Database with PL/SQL. What tasks await you? Administration, configuration, and implementation of databases in a demanding high-availability More ❯
and implement best practices for app, web, backend, and database technologies to deliver scalable, high-quality solutions Hands-on experience with Cloud Infrastructure and DevOps tools including AWS, Azure, Kubernetes, and CI/CD pipelines with a focus on applying industry best practices A track record of success with multiple fast-paced and agile organisations delivering impactful results in dynamic More ❯
you'll need Proven experience leading DevOps or DevSecOps projects across cloud and hybrid platforms Strong working knowledge of agile delivery methodologies (Scrum, SAFe, Kanban, etc.) Deep expertise in Kubernetes (vanilla, EKS, AKS, OpenShift), CI/CD pipelines, and infrastructure as code (Terraform) Security integration experience across the DevSecOps lifecycle, including: SAST, DAST, SCA, and IAST tools (e.g., Checkmarx, Veracode More ❯
or similar Experience with frontend technologies, especially React, and a solid understanding of general web development practices Experience working with SQL or NoSQL data stores Experience using Docker and Kubernetes Familiarity with CI/CD tools like Jenkins, GitHub, TeamCity, ArgoCD, etc Experience working in an Agile environment Preferred Qualifications: Strong problem-solving skills, creativity, and communication abilities. Experience in More ❯
are written in Ruby (with Rails) or Java. Client-side web apps are written in React, and some services in Clojure, Java and Go. Our platform consists of: Multiple Kubernetes Cluster for Container orchestration Apache Kafka and Redis shortly Postgres for event messaging Postgres for data storage OpenStack Swift for Object storage Juniper & Cisco networking devices A number of internally More ❯
predictive scaling. Experience with service mesh technologies (e.g., Istio, Linkerd) and their observability implications. Contributions to open-source observability or ML/AI projects. Proficiency with container technologies (Docker, Kubernetes) and best practices configurations their implications for observability and monitoring. Understanding of statistical analysis, data mining, and feature engineering techniques to extract meaningful insights from observability data. At JET, this More ❯
/B test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining us: Company pension contributions at 5%. Individualised training budget for you to learn on More ❯
monitoring. Hands-on experience with AWS Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform and CloudFormation. Previous exposure to additional technologies like Python, Spark, Docker, Kubernetes is desirable. Ability to develop across a diverse technology stack and willingness and ability to take on new technologies. Demonstrated experience participating on cross functional teams in fast-paced environments. More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Enterprise Mobility
Angular or Nest.js Experience with object-oriented programming language, including JAVA, Node.js or SpringBoot Experience creating applications in cloud-based and cloud native development environments (ex. Azure, AWS, Google, Kubernetes) Experience creating and consuming Restful and/or SOAP API's Experience developing software in a SaaS environment using CI/CD and DevOps methodology Automated test development and execution More ❯
