76 to 100 of 985 AWS Jobs in London

pay. Experience with MCP, graph or semantic retrieval, data engineering, event-driven integration or workflow orchestration. Experience deploying software or data products on Azure, AWS or GCP, DataBricks, Snowflake, Palantir etc. using relevant cloud services and at least one of containers, Kubernetes or serverless patterns. Delivery experience in a regulated ...

orchestration frameworks (e.g., Spring AI or comparable).Proven ability to design and deliver cloud-native and hybrid-cloud solutions across platforms such as AWS, Azure, OCI, or GCP, including Kubernetes, container platforms, and CI/CD pipelines. Strong understanding of microservices, event-driven systems, API governance, domain-driven design ...

another Python framework such as Flask or FastAPI.Experience building LLM-powered features, such as retrieval-augmented generation (RAG), embeddings or vector search. Experience with AWS, in particular S3, and with containerised deployment and monitoring of production issues. Experience with NoSQL databases such as MongoDB, and with integrations such as Microsoft ...

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 ...

have full-stack experience and exposure to TypeScript and modern frontend frameworks like React or VueYou have experience deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker. You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision 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 ...

Knowledge of open source software component management, Software Composition Analysis, and related security tools. Knowledge of core concepts in public cloud providers such as AWS, GCP, and Azure. Familiarity with container orchestration technologies such as Kubernetes and Docker, and cloud deployment orchestration. Technical information security certifications, such as CISSP, CSSLP ...

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 ...

patterns. Experience with RESTful API development and integration. Proven track record in developing base frameworks, reusable programs and defining standards. Knowledge of cloud platforms AWS and containerization technologies. Strong understanding of object-oriented programming principles and design patterns. Proficiency in database design and SQ and NoSQL databases like Redis, DynamoDB.Good ...

cloud-native applications. A solid understanding of software architecture, system design, scalability, resilience and security principles. Experience working with cloud technologies such as AWS and/or Azure. Well-developed SQL and data analysis skills, including troubleshooting, optimisation and production support. Experience operating within modern DevOps environments, including CI/ ...

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 ...

that enable seamless integration.• Create & Enhance: Build and improve responsive user interfaces using modern front-end frameworks.• Innovate & Modernise: Develop cloud-native applications leveraging AWS, Azure or Google Cloud Platform.• Champion Quality: Embed automated testing, secure coding practices and engineering standards throughout development.• Collaborate & Influence: Work closely with multidisciplinary teams … frameworks such as React, Angular or Vue.• Solid understanding of REST APIs, microservices and modern application architecture.• Experience developing or deploying applications using AWS, Microsoft Azure or Google Cloud Platform.• Familiarity with containerisation and orchestration technologies, including Docker and Kubernetes.• Experience working within Agile development teams and implementing CI/ ...

Work Lead end-to-end solutioning for AWS transformation, migration, modernisation, data and AI opportunities across major UK and EMEA clients. Shape AWS-native agentic AI solutions that move clients from proof of concept to production, using Amazon Bedrock, AgentCore, agents, RAG, guardrails, orchestration, observability and operational controls. Architect complex … cloud journeys including VMware/data-centre exit, mainframe and .NET modernisation, SAP on AWS, data lakes, analytics, platform engineering, security and managed run. Develop commercially credible business cases, proposal narratives, estimates, delivery models, assumptions and risk positions. Collaborate closely with sales, account teams, AWS field teams, delivery, security, data ...

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). Help maintain a stable production environment. Use AI coding tools to accelerate delivery while maintaining rigorous ...

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 ...

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 ...

with Python and Node.js also valuable. Work with relational and NoSQL databases, including PostgreSQL, MySQL and DynamoDB. Build and deploy cloud-based solutions using AWS, Azure or GCP, alongside CI/CD pipelines and automated testing. Optimise application performance, security, reliability and production support. Lead technical design, code reviews ...

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 ...

data architecture, data modelling, and data management principles Hands-on SQL experience Experience designing modern data platforms and cloud-based solutions Knowledge of AWS, Azure, GCP and/or Snowflake Strong understanding of data governance, data quality, and data security Excellent stakeholder management and communication skills Desirable Skills Data strategy ...

data architecture, data modelling, and data management principles Hands-on SQL experience Experience designing modern data platforms and cloud-based solutions Knowledge of AWS, Azure, GCP and/or Snowflake Strong understanding of data governance, data quality, and data security Excellent stakeholder management and communication skills Desirable Skills Data strategy ...

have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers ...

data architecture, data modelling, and data management principles Hands-on SQL experience Experience designing modern data platforms and cloud-based solutions Knowledge of AWS, Azure, GCP and/or Snowflake Strong understanding of data governance, data quality, and data security Excellent stakeholder management and communication skills Desirable Skills Data strategy ...

science, engineering, or a related field. Previous experience in the Payments Industry, fintech, or Location and Business Recommendation Services platforms. Experience with cloud infrastructure (AWS, Kubernetes, Helm).Experience with current or specific frameworks, SDKs, APIs, and libraries relevant to Teya's technology stack (e.g. Laravel, Spring, Reactor).Familiarity with authorisation ...

skills across Product, Design, Platform, and Engineering teamsOwnership mindset, with accountability for outcomes from design through to productionDesirableExperience with cloud platforms such as Azure, AWS, or GCPExperience with event-driven architectures, distributed systems, or microservicesExperience with relational databases such as PostgreSQLExperience working in cross-functional product teamsExperience mentoring engineers ...