51 to 75 of 744 Distributed Systems Jobs in the UK excluding London

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using … with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills ...

direction of platforms, this is the role for you. Key Responsibilities Architecture & Modernisation * Define and lead modern architecture strategies, guiding the transition from legacy systems to modular, cloud-native platforms * Overhaul monolithic systems into scalable APIs, microservices and event-driven architectures (Azure, AWS) * Work closely with … technical excellence * Lead long-term platform evolution, including cloud migration, containerisation (Kubernetes) and automation initiatives * Diagnose and resolve complex performance issues across large-scale systems * Champion software craftsmanship, TDD, BDD, design patterns and scalable coding practices Team Management & Engineering Culture * Manage and mentor cross-functional engineering teams, supporting growth ...