1 to 25 of 73 Amazon Kinesis Jobs in the UK

Lambda, Fargate, Cloud Run, et al.) and a clear understanding of when not to use them. Experience with message queues (SQS, PubSub, RabbitMQ etc.) and data pipelines (Kafka, Beam, Kinesis, etc.) You are an effective team player with effective communication, presentation and influencing skills. You have a passion for improving coding and development practices. You have worked with microservices More ❯

processes that help us achieve our objectives. So each team leverages the technology that fits their needs best. You'll see us working with data processing/streaming like Kinesis, Spark and Flink; application technologies like PostgreSQL, Redis & DynamoDB; and breaking things using in-house chaos principles and tools such as Gatling to drive load all deployed and hosted … experience: including REST and GraphQL . Monitoring and optimising applications written for the JVM . Relational and NoSQL databases, particularly PostgreSQL, Aurora, & DynamoDB with experience modelling & optimising query performance. Kinesis or any other streaming data. Understanding of statistical analysis of data. Experience with or an interest in " DevOps " tooling & infrastructure as code. A strong understanding of continuous integration and More ❯

with data privacy regulations. Technical Competencies The role is a hands-on technical leadership role with advanced experience in at least most of the following technologies Cloud Platforms: AWS (Amazon Web Services): Knowledge of services like S3, EC2, Lambda, RDS, Redshift, EMR, SageMaker, Glue, and Kinesis. Azure: Proficiency in services like Azure Blob Storage, Azure Data Lake, VMs, Azure … Formation, Azure Purview. Data Security Tools: AWS Key Management Service (KMS), Azure Key Vault. Data Analytics & BI: Visualization Tools: Tableau, Power BI, Looker, and Grafana. Analytics Services: AWS Athena, Amazon QuickSight, Azure Stream Analytics. Development & Collaboration Tools: Version Control: Git (and platforms like GitHub, GitLab). CI/CD Tools: Jenkins, Travis CI, AWS CodePipeline, Azure DevOps. Other Key More ❯

depth industry experience in software development & design Proven experience in one of the following: Typescript, Node.Js Experience with AWS or similar cloud providers, and serverless technologies e.g. AWS Lambda, Kinesis, DynamoDB, API Gateway A drive to get things done in a collaborative, agile development environment A proven ability to perform well in a fast-paced environment Excellent analytical and More ❯

and ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins More ❯

from FP, Reactive Programming and Distributed Computing to build these services, using Scala, Akka, Kafka, Play and Cats, as well a wide range of cloud-native technologies including AWS (Kinesis, DynamoDB, Lambda), Docker and Serverless. We have a mature DevOps culture in place, where the team is responsible for the infrastructure and deployment of those applications - "You build it … you run it." What you will do: You will be using Scala , Akka , Kafka , Kinesis , and Dynamo to build and innovate our software that is distributed, reactive, and scalable. You will: Lead a product engineering team, ultimately responsible for the delivery of that product Lead the design, build, and evolution of the backend services that power the Disney+ platform More ❯

junior engineers and contributing to a strong engineering culture Working with a modern, cloud-native stack Tech Stack Languages: JavaScript, Node.js Databases: SQL, PostgreSQL, BigQuery Cloud: AWS (Lambda, S3, Kinesis, RDS, Step Functions, AppFlow) DevOps: Serverless, Heroku, GitHub, CircleCI Monitoring: Graphite, Grafana, Splunk Bonus: Experience in marketing tech or AI What We're Looking For Strong full stack engineering More ❯

grasp of serverless design patterns, containerization (Docker, Kubernetes), and microservices Background in secure API development and identity protocols like OAuth, JWT, and OpenID Connect Experience in big data, streaming (Kinesis), and data lake architectures Strong communication, leadership, and stakeholder management skills Bonus: AWS Solutions Architect certification, experience with CI/CD tools like Bamboo & Octopus Deploy Why Join Verisk More ❯

partner with stakeholders and other teams to define and deliver the right solution for the right business problem statement. Our Tech Stack: Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins More ❯

data pipelines using Python. -Develop and deploy containerized microservices using Docker, running in ECS Fargate or similar cloud-native environments. -Work across AWS and GCP, leveraging services like Lambda, Kinesis, SQS, EventBridge, AWS Batch, Spark, and BigQuery to power cross-cloud data products. -Build and integrate with RESTful APIs to expose data services and connect systems. -Contribute to CI … Python skills: Confident writing clean, modular, and testable code - you’ve likely worked with pytest and TDD where it makes sense. -Cloud Fluency: Solid experience with AWS (especially Lambda, Kinesis, SQS, EventBridge) and familiarity with GCP, including BigQuery. -Containerisation: Comfortable building and deploying containerised applications using Docker, ideally in ECS Fargate or similar. -APIs & Microservices: Hands-on experience building More ❯

data pipelines using Python. -Develop and deploy containerized microservices using Docker, running in ECS Fargate or similar cloud-native environments. -Work across AWS and GCP, leveraging services like Lambda, Kinesis, SQS, EventBridge, AWS Batch, Spark, and BigQuery to power cross-cloud data products. -Build and integrate with RESTful APIs to expose data services and connect systems. -Contribute to CI … Python skills: Confident writing clean, modular, and testable code - you’ve likely worked with pytest and TDD where it makes sense. -Cloud Fluency: Solid experience with AWS (especially Lambda, Kinesis, SQS, EventBridge) and familiarity with GCP, including BigQuery. -Containerisation: Comfortable building and deploying containerised applications using Docker, ideally in ECS Fargate or similar. -APIs & Microservices: Hands-on experience building More ❯

/CD, version control, testing) Excellent communicator-comfortable leading discussions with both technical and non-technical stakeholders A collaborative mindset and passion for coaching others Tech Environment Cloud : AWS (Kinesis, Lambda, S3, ECS, etc.) Data Warehouse : Snowflake Transformation & Orchestration : Python, DBT, Airflow IaC & DevOps : Terraform, GitHub Actions, Jenkins Monitoring & Governance : Monte Carlo, Collate Interested? If you're excited about More ❯

Strong analytical and problem-solving skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect) About Capgemini Capgemini More ❯

technologies and how to create scalable multi-region applications Experience with the following technologies: o AWS Serverless and serverless-supported languages o DB (ex, Postgresql, CocroachDB) o Streaming technologies (Amazon Kinesis, Kafka) o Message Queues (SQS, RabbitMQ, ActiveMQ) Experience working within an agile development Experience with containerization (Docker, Kubernetes, etc) Experience with Micro-Service and Service oriented architectures More ❯

of AWS Cloud technologies and how to create scalable multi-region applications Experience with the following technologies: AWS Serverless and serverless-supported languages DB (ex, Postgresql, CockroachDB) Streaming technologies (Amazon Kinesis, Kafka) Message Queues (SQS, RabbitMQ, ActiveMQ) Experience working with agile development Experience with containerization (Docker, Kubernetes, etc) Experience with Micro-Service and Service oriented architectures Must have More ❯

include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies. Watch our talk at Amazon Tech Talks: StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position. What you'll be doing: Building highly scalable … in Go Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB Build software that utilize messaging queues such as Kafka, SQS, and Kinesis Write performance efficient and memory optimized code We'll be reaching out to candidates that have: 5+ years of experience as a Backend Software Engineer. Very strong problem solving More ❯

processes 5+ years of experience in data engineering, including multiple end-to-end pipeline builds Solid experience with AWS cloud services, including S3, EC2, Lambda, RDS, Redshift, Glue, and Kinesis, Mongodb, Postgresql Proven expertise in Terraform and infrastructure-as-code practices Strong SQL and data modeling skills, and experience with both SQL and NoSQL data stores Strong understanding of More ❯

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Containerisation tools like Docker or Kubernetes Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation More ❯

High volume NoSQL and SQL databases such as; Dynamo DB, Postgres Terraform built environments Experience working with data and infrastructure at scale Event driven architecture such as Kafka/Kinesis Our standards around security, quality, and service availability can only be the highest, but at the same time we foster psychological safety, as we are comfortable with the unknowns More ❯

AWSI Senior DevOps Consultant, Professional Services, Global Accounts Job ID: Amazon Web Services Australia Pty Ltd Would you like a career that gives you opportunities to help the largest Global customers and partners innovate and transform on Amazon Web Services? Are you a strategic thinker with hands-on technical skills that can influence stakeholders to set a bold … Learning solutions. Key job responsibilities • Expertise - Collaborate with AWS field business development, marketing, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Kubernetes Service (EKS), Amazon Simple Storage Service (S3), Amazon RDS databases, AWS Identity and Access Management (IAM), etc. • Solutions - Define … candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

Would you like to work on one of the world's largest transactional distributed systems? How about working with customers and peers from the entire range of Amazon's business on cool new features? Whether you're passionate about building highly scalable and reliable systems or a software developer who likes to solve business problems, Selling Partner Services (SPS … responsibilities 1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management. 2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance. 3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms … and WW) use cases on our data platform 5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies 6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. 7. Drive More ❯

Applied Scientist, Supply Chain Optimization Job ID: Amazon UK Services Ltd. Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing … deviation analysis - Familiarity with Operations concepts - Planning, Forecasting, Optimization, and Customer experience - gained through work experience or graduate level education - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on … data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver More ❯

suites using popular testing framework like Junit, TestNg, Selenium, Mockito, etc - 2+ years of building and maintaining cloud computing infrastructure experience, mainly Native AWS (SQS, Lambda, DynamoDb, Step Functions, Kinesis, etc) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application … support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯

fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and … HTTP/S, AMQP, WebSocket Expert knowledge of Confluent Kafka Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore, Knowledge of modern observability technologies such as ELK, Splunk, Prometheus, Grafana, Micrometer "What-if" thinking, while designing or reviewing solutions, to foresee or More ❯

internal tooling Collaborate across teams — including support for Machine Learning workloads and Data Engineering Contribute to architecture discussions, technical documentation, and internal best practices Key skills: TypeScript, AWS Lambda, Kinesis, EventBridge, CI/CD, GitHub Actions, Python (for ML), JIRA, Confluence Key skills: Five years’ experience in backend engineering Advanced skills in TypeScript and modern AWS (especially Lambda, Kinesis More ❯