201 to 225 of 362 Kubernetes Jobs in Central London

paced, low-latency environment What we’re looking for: 5+ years’ experience in DevOps, Systems, or Platform Engineering Deep knowledge of Linux, Python, and shell scripting Proven experience with Kubernetes, observability tooling, and CI/CD frameworks Strong grasp of distributed systems and performance tuning Trading, Crypto or Hedge Fund Experience Experience working in low-latency, high-frequency trading environments More ❯

in software engineering with a strong grasp of API design, cloud architecture, and scalable system design. Hands-on coding experience with modern technologies including Typescript (Node.js/React), AWS, Kubernetes, GraphQL, Kafka. Track record of working directly with clients on technical solutions, RFPs, and complex integrations. Ability to build prototypes and proof-of-concepts that validate ideas and showcase value. More ❯

market operations. Experience required: Strong commercial experience with C# and .NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data More ❯

with orchestration tools (Airflow/Prefect) and cloud platforms (AWS preferred). Proven experience handling large-scale biological or multi-omics datasets. Bonus: exposure to distributed computing (Spark, Databricks, Kubernetes) or data cataloguing systems. You Are Curious and scientifically minded, with a strong understanding of biological data workflows. Collaborative and able to communicate effectively across computational and experimental teams. Passionate More ❯

like and now want to help build it yourself. A strong academic background - ideally in Computer Science, Mathematics, or a related discipline from a top university Python (core language) Kubernetes, AWS/GCP, and cloud-native systems Typescript (for frontend or backend services) PostgreSQL and real-time data streaming Experience building high-performance, real-time, or distributed systems - ideally in More ❯

of time-series and geospatial data concepts. Familiarity with collaborative software development practices (CI/CD, version control, testing). Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll work closely with world-class researchers and technologists More ❯

hands-on opportunity within a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like More ❯

and reference architectures/landing zones. Atlassian Cloud hardening (Jira/Confluence), Google Workspace security, Proofpoint (email security). Azure guardrails (Entra/Conditional Access, Azure Policy/PaC), Kubernetes context for platform integrations. Experience integrating CNAPP/CSPM or SIEM/SOAR signals into advisory workflows. Why join Shape a green-field Security Platform capability with real impact across More ❯

ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Dfferent Direct Impact: Build AI tools that traders and quants use daily to optimize strategies. Creative Freedom: Open collaboration and the chance More ❯

ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants use daily to optimize strategies. Creative Freedom: Open collaboration and the chance More ❯

Strong understanding of Mendix development, architecture components, and the MDD approach. Experience integrating Mendix with enterprise systems Strong grasp of performance, security, and cloud deployment (Mendix Cloud, AWS, Docker, Kubernetes a plus) Confident communicator and mentor with a passion for guiding teams and for digital transformation Experience within the financial services or insurance sector would also be advantageous but is More ❯

engineering while also leading a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like More ❯

more 😀 Keywords: ML Infra, ML Infrastructure, Machine Learning Infrastructure, Machine Learning Infra, ML Infrastructure Engineer, GPU, HPC, AI, Terraform, Argo CD, CI/CD, IaC, Terraform, Containers, Container Orchestration, Kubernetes, Linux More ❯

frameworks) for creating user-friendly and scalable web applications. Expertise in API development, data handling, and creating scalable service architectures. Proficiency with CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and workflow automation. Understanding of network protocols and secure data exchange between services. Familiarity with frameworks like ROS is a plus. Experience integrating HID devices (e.g., game controllers, joysticks, motion More ❯

minimal hand-holding. You're excited about wearing many hats Communication skills : Ability to articulate complex technical concepts clearly to non-technical team members What would be super impressive? Kubernetes and IaC experience : Our system runs on GCP GKE, all configured with Terraform. If you wanted to dive into this, we’d love it. Interview process Initial Screen with James More ❯

Job Title: SRE/DevOps Lead with Kubernetes Location: Birmingham, UK Employment Type: 9 months contract Start Date: Immediate About the Role We are looking for an experienced SRE/DevOps with expertise to design, implement, and maintain CI/CD pipelines, workflows, and scalable infrastructure for secure, on-premise environments. This role plays a pivotal part in building and … You’ll collaborate with cross-functional teams to deliver state-of-the-art security solutions and mentor engineers within a high-performance environment. Essential Skills & Experience Proven experience in Kubernetes administration and DevOps automation. Strong knowledge of Security Engineering in on-prem environments. Hands-on experience with Splunk, ELK Stack, and CI/CD pipelines. Proficiency with containerization technologies (Docker … Kubernetes). Experience with scripting or programming (Python, Go, JavaScript). Familiarity with Agile methodologies and tools such as Jira. Excellent communication and problem-solving skills. Desirable Skills Experience with ArgoCD, Terraform, Jenkins, or Ansible. Understanding of SIEM operations and automation frameworks. Knowledge of microservices architecture, Kafka/RabbitMQ, or OpenStack. Exposure to cloud and hybrid infrastructure (private or public More ❯

etc? Experienced working on cloud platform such as AWS, Google Cloud and have a good understanding of cloud infrastructure? Experienced working with Containers and Orchestration tools such as Docker & Kubernetes? Looking to work for a company working along side engineers who love to solve complex, end to end, cloud native transformation challenges for their customers? Enjoy working remotely and/… a range of tooling in the following areas: Programming: with at least one language; Python, Go, Java, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role: Hands-On: The Senior Engineering role is hands-on working across the More ❯

develop, and maintain full-stack applications using Java Spring Boot and React Build microservice-based systems with a strong focus on scalability and resilience Work with modern technologies including Kubernetes , AWS , and Azure Contribute to workflow and orchestration solutions using Camunda and BPMN Design and optimise data structures and queries in PostgreSQL and MongoDB Collaborate closely with business consultants, product … contribute ideas, and lead by example in a collaborative, low-ego environment Essential Skills & Experience Strong experience with Java (Spring Boot) and React Familiarity with containerisation and orchestration (Docker, Kubernetes) Understanding of microservice architecture and domain-driven design Experience with SQL and NoSQL databases (PostgreSQL, MongoDB) Knowledge of cloud platforms , ideally AWS and/or Azure Strong communication and collaboration More ❯

to learn new technologies. Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non-SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful APIs and service integration patterns. Familiarity with OAuth 2.0 and OpenID Connect (OIDC). Understanding of … Knowledge of unit testing, software verification, and design patterns. Nice to Have Advanced proficiency in Java and Gradle. Experience developing microservices using Spring Boot within containerised deployments (Docker/Kubernetes). Proven experience designing and scaling event-driven and distributed architectures in production environments. Proven experience deploying and managing production infrastructure using IaC Deep understanding of AWS services, infrastructure automation More ❯

life cycle. Key requirements within this opportunity are as follows: Solid experience with NodeJS on the backend Experience with JavaScript and TypeScript Experience. Experience with NextJS framework. Experience with Kubernetes and Docker. Experience in working with a Small Software Engineering team A 2:1 or above in Computer Science - Required A leader within their community and a specialist Development team More ❯

from design, to build, to deployment) 💡 What you’ll do: Write clean, scalable code in C# Drive innovation using AWS and GCP Build and scale platform capabilities Work with Kubernetes and modern deployment practices If you want to take ownership of cutting-edge projects while working alongside some of the smartest engineers in London, apply now for this fantastic C# More ❯

Interest in learning Rust — no prior experience required SQL experience Cloud experience (AWS preferred) Willingness to work 4 days onsite in London Comfort with cloud/infrastructure technologies (e.g. Kubernetes, Docker, AWS/GCP) Experience in early-stage or startup environments is a plus Benefits Salary from £60k - £100k Guaranteed pay rise upon Seed round of funding 30 days holiday More ❯

Lead Software Engineer | Distributed Systems | Sustainable Cloud Native Platform 💸Up to £130,000 per annum plus bonus plus stock 🏠Central London office 🖱️Golang, Rust, C, Kubernetes, Linux, Cloud Native, Distributed systems... Are you a Lead Software Engineer with extensive knowledge of building distributed systems? Looking to join a company who are solving genuine problems that disrupt an industry? Interested in More ❯

Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real More ❯

technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion for developing people, processes, and scalable More ❯