15 of 15 Redis Jobs in Scotland

across both legacy and modern technology stacks in complex environments.Strong experience building APIs, microservices and integrated services using Java, REST, Spring Boot/Cloud, Redis, Hibernate, with experience of Kubernetes and Docker, messaging technologies such as JMS, Kafka or RabbitMQ, and cloud-native platforms including AWS, S3, EKS.Experience using modern ...

effective relationships across technical and non-technical teams. Desirable Skills: * Python and Django * AWS and Azure * Terraform * Docker, ECS and ECR * PostgreSQL (Amazon RDS) * Redis/ElastiCache * GitHub Actions, CodePipeline and CodeBuild * Elasticsearch/OpenSearch * Datadog and Logstash In return, you can expect a flexible working culture, including: * Hybrid working ...

effective relationships across technical and non-technical teams. Desirable Skills: * Python and Django * AWS and Azure * Terraform * Docker, ECS and ECR * PostgreSQL (Amazon RDS) * Redis/ElastiCache * GitHub Actions, CodePipeline and CodeBuild * Elasticsearch/OpenSearch * Datadog and Logstash In return, you can expect a flexible working culture, including: * Hybrid working ...

considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures ...

processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures ...

processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures ...

across engineering, operations, and mission teams and translate real-world requirements into working softwarePreferred Skills/Qualifications: Experience with data backends such as Postgres, Redis, Elasticsearch, or S3Hands-on experience with Databricks or modern data Lakehouse toolingExperience building or operating monitoring and alerting systems such as Grafana, Prometheus, or NagiosInfrastructure ...

processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures ...

latency response. Understanding and experience in developing batch and stream data ingestion or developed applications leveraging SQL database like Postrgres DB or NoSQL/Redis DB.Implemented REST API endpoints on Kubernetes cluster using API Gateway like KONG. Ensure API response is reliable, accurate, and delivered in a timely manner.Write clean ...

considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures ...

delivery strategies, resilience engineering, and performance optimisation. and securing Data warehouse such as Redshift infrastructure in cloud-native environments. Expertise with databases(Database:, DynamoDB, Redis, Aurora, Athena), and Strong experience with AWS services such as S3, EC2, SQS, Lambda, IAM, Managed Airflow, Athena etc, VPC, with a strong command ...

Senior Backend Developer Jobs at SILA Linguists Company: SILA Linguists Location: Scotland We are looking for a Senior Backend developer to join SILA Linguists. Our Startup is a Language Service Provider (LSP) which has developed ...

Company DescriptionVersion 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate ...