76 to 100 of 1,280 AWS Jobs in the UK

Infrastructure as Code expertise Linux and automation tooling experience Development or scripting experience (Python, Go, Bash or similar) Experience with cloud platforms such as AWS, Azure or GCP Strong understanding of CI/CD pipelines and GitOps methodologies Ideal Candidate You'll likely come from a software engineering ...

data modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. Cloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation (Docker, Kubernetes). Solution Architecture: Understanding of enterprise architecture frameworks ...

communicating technical decisions to both technical and non-technical stakeholders. A pragmatic mindset, balancing engineering quality with business priorities and delivery deadlines. Desirable Experience AWS or Azure cloud environments. Microservices and event-driven architecture. Docker and containerisation. Infrastructure as Code. Distributed systems and domain-led architecture. Frontend technologies and full ...

integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with cloud data warehouse technologies such as Amazon Redshift and applying data modelling best practices. Good understanding of software engineering principles, including object ...

understanding of modern distributed systems and software architecture. Experience working with Linux-based environments. Exposure to one or more major cloud platforms such as AWS, Azure or GCP . The ability to understand unfamiliar technologies quickly and determine their practical application. Strong problem-solving and technical design skills. An interest ...

science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud platforms (e.g. Azure, AWS) Knowledge of data engineering, manipulation, and pipeline development Familiarity with technical assurance, QA, and model performance evaluation Strong communication and stakeholder engagement skills, including with ...

years consulting experience preferred Experience working with dimensionally modelled data Bachelors degree or equivalent experience, Masters Degree Preferred Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Experience in data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data ...

scaling AI/ML solutions using frameworks and platforms such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, vector databases, cloud services (AWS/Azure), and MLOps tools including MLflow and Kubeflow. Proven ability to develop production-grade, large-scale AI systems with robust experimentation, evaluation, model lifecycle ...

Technical Lead: Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code and modern ...

delivery. Excellent stakeholder and communication skills. Ability to balance delivery, quality and operational excellence. Technical Skills Java/Spring Boot OR Vue/Typescript AWS Kubernetes Microservices Jira Experience within regulated environments Join a business where you can influence engineering strategy, develop talented teams and help shape the future ...

Doing Developing Java-based enterprise applications and microservices. Building secure, scalable solutions using Java (JDK 11+) and Spring Boot. Working on AWS-hosted cloud solutions. Developing and consuming REST APIs. Contributing to modern Microservices architectures. Working closely with engineering, DevOps, testing and architecture teams. Participating in Agile ceremonies including sprint ...

strategy, roadmaps and technology selection across the programme. Essential Skills & Experience Proven experience working as a Solutions Architect on large-scale transformation programmes. Strong AWS architecture expertise. Experience designing cloud-native and distributed systems. Strong understanding of data architecture and modern data platforms. Experience with API-led and event-driven ...

/CD pipelines and DevOps practices Strong understanding of software engineering principles and best practices Experience working in Agile environments Desirable Experience Experience with AWS and/or Azure cloud platforms Familiarity with Spring Boot or modern Java frameworks Experience working on SaaS platforms Background in large-scale or regulated ...

delivery experience. Experience with Pega Constellation architecture and migration from Traditional UI. Experience with Pega Cloud or on-premise/private cloud deployments, including AWS or Azure. Knowledge of Pega GenAI, Process Fabric or Pega Customer Decision Hub. Awareness of NCSC security principles and government cloud security standards. Benefits & Perks ...

automation and data analysis. Knowledge of Performance Test Strategy and defining Non-Functional Requirements. Proven experience in Performance Testing of cloud-based architectures (Azure, AWS, GCP). Strong knowledge of performance testing methodologies and tools (such as JMeter, LoadRunner, Eggplant Performance, Gatling). Desirable skills: Knowledge of middleware systems (Kafka ...

Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud Whats in It for You? At Scale Factory, we believe in recognising and rewarding great work. Heres what you can expect ...

Flink, Kafka, or Spark. Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture … Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools ...

Develop and operate distributed data services using Kafka, Kinesis, Spark, Flink or equivalent technologies . Build and maintain cloud-native data platform capabilities using AWS and/or Azure . Support data ingestion, processing, storage and integration across multiple systems. Develop and maintain data models, schemas and platform data structures … driven architectures , including Kafka, Kinesis or equivalent. Experience with distributed data processing technologies such as Spark, Flink, Kafka Streams or equivalent. Strong experience with AWS and/or Azure cloud environments. Experience with cloud services such as S3, Glue, Lambda, RDS, Athena, EC2 or Azure equivalents. Strong understanding of data ...

interested in experience across: C#/.NET and modern backend engineering TypeScript with React, Angular or Vue APIs, distributed systems and service-based architectures AWS or another major cloud platform SQL Server/PostgreSQL and relational data modelling Docker, Kubernetes and Infrastructure as Code Event-driven architecture CI/ ...

ensure smooth integration of microservices and components. Operations , AI & Continuous Improvement (20%): Contribute to CI/CD pipelines, run services in Kubernetes (EKS on AWS), and support monitoring and alerting (Prometheus/Grafana) . He lp maintain a stable production environment. Use AI coding tools to accelerate delivery while maintaining ...

technical documentation. Excellent communication, mentoring, problem-solving, and cross-functional leadership capabilities. Preferred Qualifications Experience with cloud-native security and data services on Azure, AWS, or Google Cloud; enterprise graph platforms; modern lakehouse architectures; and security copilots or agentic AI patterns. Relevant certifications such as CISSP, CISM, GIAC, cloud security ...

Troubleshoot and optimise performance across distributed systems and cloud services. Mandatory Skills & Experience Strong Python Back End engineering in production systems ( inc FastAPI ). AWS services: EC2, EKS, S3, SQS, Kenesis/Firehose, Bedrock and AgentCore. Working knowledge of GenAI technologies and Large Language Models. Experience evaluating LLM performance ...

auditing, and lazy/eager loading trade-offs. Experience integrating modern services with Legacy SOAP/XML systems and modernising them incrementally. Hands-on AWS experience, ideally EKS, RDS PostgreSQL, SQS, SNS, and S3, with infrastructure as code such as Terraform. Database tuning and batch processing experience on high-volume ...

technical audiences. Technical Expertise Modern architecture approaches including cloud-native, SaaS, API-led, event-driven, and data-centric architectures. Strong understanding of AWS and Azure environments. Enterprise integration patterns including APIs, messaging, events, orchestration, and data movement. Data architecture, governance, lineage, and quality management principles. Engineering and DevOps practices including ...

event-driven architectures. Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders. Desirables Experience working with AWS or another cloud platform. Knowledge of Kubernetes or container orchestration. Exposure to GraphQL. Experience using AI-assisted development tools. Understanding of secure software development and data ...