901 to 925 of 1,142 Remote Kubernetes Jobs

e.g., GDPR , HIPAA ). Proficient in scripting/automation using Python , Bash , or Ansible . Comfortable working with cloud platforms (e.g., AWS, Azure, GCP) and container orchestration tools like Kubernetes . Excellent troubleshooting skills and a collaborative approach. Bonus: Experience with Cloudera , Hadoop , CDSW , or CML is a plus. What's on Offer: Flexible hybrid working arrangements Core benefits including More ❯

standards in documentation and stakeholder communication Currently DV (Developed Vetting) Cleared Bonus if you have: DevSecOps, Agile or CI/CD experience, or exposure to tools like Azure, AWS, Kubernetes, NodeJS, MongoDB, or Kafka. Do you want to work on some of the best projects in the MOD & Defence world for a high growth company and long term future projects More ❯

highly advantageous. Expertise in secure development practices and cloud-native architectures. Hands-on experience with threat modelling, adversarial testing, and CI/CD security. Familiarity with tools like Git, Kubernetes, and containerized environments. Working knowledge of relevant regulations and frameworks (EU AI Act, ISO 27001, etc.). Excellent stakeholder communication and collaboration skills. Desirable Experience working on large-scale data More ❯

focus on SQL, Integration Services, SSIS, and ETL skills. Experience with Microsoft Azure & Azure DevOps (desirable). Managing and configuring Fortinet (FortiGate) and SonicWall firewalls. Desirable skills include Docker, Kubernetes, Linux administration, and experience with cloud networking and security. Benefits: Competitive salary and benefits package. Opportunities for professional growth in a dynamic and innovative environment. Work with international, world-renowned More ❯

solid understanding of design patterns and coding principles is required. Strong knowledge of Linux, Windows, and IP networking, covering routing, DNS, firewalls, and load balancing. Commercial experience with Docker, Kubernetes, and container orchestration. Familiarity with Elasticsearch. Understanding of SRE principles, DevOps, and DevSecOps methodologies. Strong problem-solving skills, attention to detail, and the ability to work autonomously. Full right to More ❯

years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. Bonus: Familiarity with behavioural biometrics, sensor-based or time More ❯

as TensorFlow, PyTorch, JAX, and scikit-learn. Strong grasp of DevOps/CI/CD workflows and secure SDLC methodologies. Experience securing cloud-native environments, including containerized services (e.g., Kubernetes) and CI/CD orchestration tools. Knowledge of AI-specific threat vectors like adversarial attacks, data poisoning, and prompt injection, and familiarity with the MITRE ATLAS framework. Proficiency in threat More ❯

a related field. Ideally proven expertise in software development, system architecture, water authority process and specifications (5 - 7 years preferred). Current certifications in relevant technologies (e.g., AWS, Azure, Kubernetes) are an advantage. Strongly proficient in PLC, HMI, and SCADA programming for multiple platforms. Strong knowledge of industry standards, including engineering compliance and QA practices. Willingness to travel to site More ❯

product suite, you'll be making a real impact. What We're Looking For: Solid commercial experience with Java & Spring Boot Familiarity with AWS and container orchestration tools like Kubernetes Agile mindset with a focus on TDD and CI/CD workflows Excellent communicator, comfortable working with clients and stakeholders Proven ability to contribute to a collaborative, forward-thinking team More ❯

and operating large scale SaaS products Experience implementing and designing cloud native security concepts, DevSecOps, or MLOps. Hands-on experience with microservices and distributed application architecture, such as containers, Kubernetes, and/or serverless technology. Proficient in leveraging CI/CD tools to automate testing and deployment An expert who can create tooling and automation which improve developer experiences and More ❯

caching and performance optimisation. Knowledge of message queueing systems like AWS SQS or RabbitMQ . Well-versed in Test-Driven Development (TDD) with JUnit for robust testing. Understanding of Kubernetes for container orchestration. Familiarity with AWS cloud services for scalable application deployment. If you're passionate about building robust, scalable and resilient back end development and want to be part More ❯

PnL computations, maintain our automated reconciliation tool (AutoRec), and enhance our reporting pipeline to handle large-scale financial data. Team Stack Languages: Rust Databases: Clickhouse, RocksDB, Cassandra, PostgreSQL Infrastructure: Kubernetes, AWS, Pulumi, Docker, GitLab What's special about this role? This role offers a unique opportunity to tackle complex accounting and financial challenges in the cryptocurrency space. You'll develop More ❯

improving software quality. Skilled in defect identification, data analysis, and performance benchmarking. Proficiency in Git and distributed version control systems. Desirable Skills Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. Accommodations at More ❯

technical support for clients whilst being agile in the approach and methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine More ❯

technical support for clients whilst being agile in the approach and methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine More ❯

optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, Hugging Face, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. Databases and data platforms: SQL, NoSQL, Snowflake, Databricks. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We More ❯

technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and security best practicesReal-time data streaming is a plus (Kafka, Beam, Flink)Experience with Kubernetes is a plusEnergy/maritime domain knowledge is a plus What We Offer Competitive salary commensurate with experience and comprehensive benefits package (medical, dental, vision) Significant growth opportunities as an More ❯

evidence based arguments, to influence key stakeholders across the business. Required Skills and Experience Has 5+ years commercial experience Expert level in (Javascript Typescript Python) Familiar with Postgres and K8s Feels at home in AWS console Has built infrastructure with Terraform Bonus points Has worked in an intelligence collection setting Experience with "big data" technologies, the management of data, and More ❯

and Frost Radar. Our tech stack: Superset and similar data visualisation tools. ETL tools: Airflow, DBT, Airbyte, Flink, etc. Data warehousing and storage solutions: ClickHouse, Trino, S3. AWS Cloud, Kubernetes, Helm. Relevant programming languages for data engineering tasks: SQL, Python, Java, etc. What you will be doing: Designing and developing scalable and efficient data pipelines, ETL processes, and data integration More ❯

for performance, reliability, and cost-effectiveness. You have hands-on experience with cloud platforms, specifically AWS services like S3, EMR, Glue, and Athena. You are familiar with containerization (Docker, Kubernetes) and orchestration tools like Airflow. What you will get in return: 70% off HelloFresh or Green Chef boxes Company pension scheme Gym membership Bupa private medical insurance (including dental & family More ❯

or Micronaut. A basic understanding of designing simple, service-oriented systems. Exposure to at least one cloud platform (AWS is a plus). Familiarity with infrastructure tools (e.g., Docker, Kubernetes) is helpful. Some experience with front-end development (React knowledge is a bonus). (Nice-to-have) Any experience in fintech or working on API-driven SaaS products. About You More ❯

protocol deployment risks. Communicate with our Product & Sales team to make sure they understand any risk that may occur during protocol deployment. Stack: Infrastructure: AWS/GCP + baremetal, Kubernetes, Terraform/Terragrunt, Prometheus/Thanos, Helm, Hashicorp Vault, FluxCD Software: Golang, Typescript, PostgreSQL Smart-Contract: Solidity, Foundry, OpenZeppelin Requirements: +5 years of background experience in Software or Infrastructure , within More ❯

impacted over 23 million lives. Technical Environment Modern C# Stack : We use predominantly C# written against the latest .NET stack Microservices & Cloud : We favour microservices hosted on Azure using Kubernetes Event-Driven Architecture : We are constantly iterating towards a completely decoupled, event-driven architecture Mixed Environment : We have both legacy services and greenfield microservices Our Engineering Approach As an engineer More ❯

We're looking for a Software Engineer to help build and scale the services that power our innovative products. Using cutting-edge technologies like Go, GraphQL, Terraform, AWS and Kubernetes, with a frontend built in React, you'll work on a platform designed for performance and scalability. This is an opportunity to make a real impact - your contributions will shape More ❯

Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance More ❯