1 to 25 of 26 Remote Amazon Kinesis Jobs

web application development with Node.js, TypeScript, React.js, Next.js, and React Native. Experience with AWS Serverless Services (Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Kinesis). 5+ years of commercial development experience. Ability to provide technical leadership and mentorship to the team. Proficiency in TypeScript, with a bonus if More ❯

web application development with Node.js, TypeScript, React.js, Next.js, and React Native. Experience with AWS Serverless Services (Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Kinesis). 5+ years of commercial development experience. Ability to provide technical leadership and mentorship to the team. Proficiency in TypeScript, with a bonus if More ❯

a lot. It's not exhaustive, but gives you a taste of what our stack and tools look like: React, Node.js; Heroku; AWS Lambda, Kinesis, and DynamoDB Handlebars; Sass; Webpack; Preact Fastly and VCL Github; CircleCI; Open Telemetry; Grafana; Splunk We don't expect you to have worked with More ❯

financial services , fintech , or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (e.g., Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture Personal More ❯

Spring Boot) Front-End (React or similar) React Native Docker Experience building CI/CD pipelines API Development, NodeJS AWS cloud infrastructure High volume kinesis data streaming processing and DynamoDB The Benefits? (Skinny) 25 days holidays Bi-annual personal development reviews Hybrid working Loads of others.. get in touch More ❯

financial services , fintech , or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (e.g., Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture Personal More ❯

financial services , fintech , or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (e.g., Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture Personal More ❯

NoSQL databases. Secure development practices. Git-based source control. Knowledge of CI automation systems such as Jenkins Bonus points for: Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). AWS More ❯

Java, Python or equivalent. Conceptual understanding of software development principles and the SDLC. Experience using AWS Technologies such as EC2, Lambda, API Gateway, EventBridge, Kinesis, ECS, CDK etc. Experience of REST API, Websockets and best practices Experience using RDBMS and NoSQL Technologies Experience of working with Microservices, Infrastructure as More ❯

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 More ❯

based APIs for internal and external data delivery. Familiarity with one or more of the following would also be beneficial: Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a More ❯

REST based APIs for internal and external data delivery. Familiarity one or more of the following would also be beneficial : Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a More ❯

Java. Strong knowledge of relational and NoSQL databases. Git-based source control. Knowledge of CI automation systems such as Jenkins. Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Docker and Kubernetes. Solution and architecture design. Previous experience working in e-commerce and/or financial services. More ❯

Have excellent knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK). Our Technology Stack: Python and Scala Starburst and Athena Kafka and Kinesis DataHub ML Flow and Airflow Docker and Terraform Kafka, Spark, Kafka Streams and KSQL DBT AWS, S3, Iceberg, Parquet, Glue and EMR for our More ❯

data reliability Bonus Points For: Experience with data observability and CI/CD pipelines for data engineering Exposure to streaming platforms like Kafka or Kinesis Comfort working in fast-moving, cross-functional environments BI tool experience – Power BI, Tableau, or similar More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, ·Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) ·Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues ·Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda. Experience of major operating platforms and their linkage, connectivity functions and issues. Cloud Security - Experience/skills of addressing concept issues and More ❯

Live Tables, PyTest, Great Expectations (or similar). Building and orchestrating data and analytical processing for streaming data with technologies such as Kafka, AWS Kinesis or Azure Stream Analytics. Building data solutions for embedded analytics and/or SaaS product platforms. Knowledge of data governance, privacy regulations (e.g. GDPR More ❯

AWS managed services Maintaining and enhancing existing services written in Node, Java, and Kotlin Developing scalable, high-performance applications using AWS cloud technologies, including Kinesis for real-time data streaming Building and maintaining front-end applications using React (or similar frameworks) and TypeScript Writing clean, maintainable, and efficient code … in Golang for backend development Experience with AWS-managed services, particularly event-driven architectures, serverless, and real-time data processing (Lambda, SQS, SNS, DynamoDB, Kinesis, etc.) Strong understanding of RESTful microservice architectures Hands-on experience with React and TypeScript (or similar front-end frameworks) Familiar with git or other More ❯

code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc. and More ❯

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 … 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 More ❯

time data analytics and operational insights. Key Responsibilities AWS IoT Engineer: Build and configure AWS IoT solutions using AWS IoT Core, Greengrass, SiteWise , and Kinesis , aligned with existing High-Level and Low-Level Designs (HLD/LLD). Develop secure, scalable, and highly available IoT architectures in line with … Requirements: 3–5 years of hands-on experience designing and implementing AWS-based IoT solutions . Expertise in AWS IoT Core , Greengrass , SiteWise , and Kinesis . Strong understanding of MQTT , JSON messaging, and device provisioning. Familiarity with AWS analytics and storage services: Redshift, DynamoDB, S3, CloudWatch . Proficiency in More ❯