12 of 12 Remote Google Kubernetes Engine Jobs in Manchester

Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had... Experience in Spring Boot and Hibernate Experience of More ❯

with development teams. This role is eligible for inclusion in the Company’s hybrid working from home policy. Preferred Skills, Qualifications and Experience Prior public cloud experience, preferably with Google Cloud. Strong core platform knowledge in Projects and Folders, IAM and Billing. Proficiency operating with Infrastructure as Code (IaC) using industry standard tooling, preferably Terraform and methodologies. Knowledge of … Git. Confident in utilising custom automation and scripting using tools such as G-Cloud, CLI, Bash, Python and Golang. Experience of modern platform stacks such as Kubernetes or GKE, as well as affiliated technologies and workflows including service mesh/ingress, CI/CD, monitoring stacks and security instruments. Experience of using and managing Docker images. Awareness of networking More ❯

Who we are looking for A Cloud Platform Engineer, who will help to build, operate and enhance our expanding Google Cloud environments as part of our Technology function. We are excited to announce the growth of our cloud platform team, who help build and support the Business alongside the deployment of new products. A long-term initiative is underway … role is eligible for inclusion in the Company’s hybrid working from home policy. Preferred Skills, Qualifications and Experience Significant and broad public cloud experience at scale preferably with Google Cloud. Strong core platform knowledge in Projects and Folders, IAM and Billing. Proficiency operating with Infrastructure as Code using industry standard tooling, preferably Terraform and methodologies. Confident … in utilising custom automation and scripting using tools such as G-Cloud, CLI, Bash, Python and Golang. In depth understanding of modern platform stacks such as Kubernetes or GKE, as well as affiliated technologies and workflows including service mesh/ingress, CI/CD, monitoring stacks and security instruments. Strong understanding of networking in Public Cloud environments. Clear grasp More ❯

with development teams. This role is eligible for inclusion in the Company’s hybrid working from home policy. Preferred Skills, Qualifications and Experience Significant public cloud experience, preferably with Google Cloud. Strong core platform knowledge in Projects and Folders, IAM and Billing. Proficiency operating with Infrastructure as Code (IaC) using industry standard tooling, preferably Terraform and methodologies. Knowledge of … namely Git. Confident utilising custom automation and scripting using tools such as G-Cloud, CLI, Bash, Python and Golang. Experience of modern platform stacks such as Kubernetes or GKE, as well as affiliated technologies and workflows including service mesh/ingress, CI/CD, monitoring stacks and security instruments. Strong understanding of networking in Public Cloud environments. Awareness of More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

can improve experiences and drive better business decisions Experience with Google Cloud Platform stack (BigQuery, Composer, Dataplex, Dataflow, Cloud Functions, Cloud Run, Pub/Sub, GCS, Vertex AI, GKE) or similar cloud platforms Familiarity with open-source data-stack tools (Airflow, DBT, Kafka, Great Expectation, etc.) Appreciation of modern cloud data stack, headless BI, analytics engineering, Data Mesh, and … Lake House Although not essential, it would be great if you had any of the below experience Knowledge of Teradata, Mainframe, and/or Google Analytics Experience with data visualization tools (PowerBI, Tableau, Looker) Understanding of Agile principles, practices, and tools (Jira, Confluence) Understanding of data management, analytics, science, and visualization workflows What’s in it for you as More ❯

/Modern JavaScript), along with proficiency in building RESTful APIs and web services.* Deep understanding of cloud platforms, particularly Google Cloud, and hands-on experience with services like GKE, Cloud Functions, Pub/Sub, etc.* Knowledge of relational databases (SQL), along with experience working with document-based storage solutions (e.g., MongoDB).* Experience with Kafka or other event-driven More ❯

Knowledge of mobile technologies. Experience with performance testing. Knowledge of service orientated architecture. Exposure to multiple software development methodologies. Experience with or exposure to Cloud technologies such as GCP, GKE or SAAS. Exposure to generative artificial intelligence and large language models. Main Responsibilities Assisting in driving the provision of a capable, reactive, motivated and delivery focused team. Enforcing governance of More ❯