23 of 23 Remote Amazon Kinesis Jobs

managing attitude (Desirable) Detailed knowledge of using PostgreSQL or PostGIS in a production environment (Desirable) Typescript experience (Desirable) Have worked with core AWS services (S3, Lambda, DynamoDB, API Gateway, Kinesis, Cognito, or comparable services on other platforms) Working at Route Reports This role is hybrid, with occasional travel around the UK for customer visits. We have an office in 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 ❯

/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 ❯

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 ❯

and Go Preferred Qualifications: Proven ability to work on high and low-level designing Experience with Cloud Solution designs and setup for AWS, GCP and Azure Excellent understanding of Amazon Kinesis Data Streams Advanced Experience with RHEL Linux OS Commands Advanced Experience with Go & Python Scripting/Programming Soft Skills: Good communication skills Good problem-solving attitude Ability More ❯

balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What's it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching More ❯

balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. Whats it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their More ❯

assets Strong architectural acumen and software engineering fundamentals Experience driving adoption of data governance and improving data platform usage across internal teams stack including: Snowflake AWS DBT Airflow Python Kinesis Terraform CI/CD tools BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary up to £107,000 Hybrid working: 2 days per week in the More ❯

data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You'll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The ability to manage More ❯

the Data Platform by designing and building the next generation of the stack. Develop, run and support our batch and real-time data pipelines using tools like Airflow, PlanetScale, Kinesis, Snowflake, Tableau, all in AWS. Collaborate with product managers, data engineers, analysts and data scientists to develop tooling and infrastructure to support their needs. Develop automation and tooling to More ❯

CI/CD pipelines with tools like Jenkins or CircleCI Knowledge of data security protocols and distributed system design Bonus Points For Experience with messaging systems (Kafka, Spark Streaming, Kinesis) Familiarity with schema design and semi-structured data formats Exposure to containerisation, graph databases, or machine learning concepts Proficiency with cloud-native data tools (BigQuery, Redshift, Snowflake) Enthusiasm for 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 ❯

on time Collaborative mindset with experience working in cross-functional teams Bonus Points Experience with machine learning workflows and MLOps practices Knowledge of real-time streaming data processing (Kafka, Kinesis) Background in consulting or client-facing technical roles Contributions to open-source analytics or data engineering projects What Success Looks Like in Your First Year Technical Impact: Successfully lead More ❯

on time Collaborative mindset with experience working in cross-functional teams Bonus Points Experience with machine learning workflows and MLOps practices Knowledge of real-time streaming data processing (Kafka, Kinesis) Background in consulting or client-facing technical roles Contributions to open-source analytics or data engineering projects What Success Looks Like in Your First Year Technical Impact: Successfully lead 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: Contribute to or lead a significant part of the implementation and deployment of services within your team. Work on challenging and varied business domains including video encoding, digital 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 ❯

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 ❯

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 ❯

cloud architecture AI-Powered Email Intelligence System - with natural language querying Document Validation POC - including interface and full integration Key Skills Required Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party More ❯

showcase (client-ready demo) AI-powered email intelligence system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services More ❯

showcase (client-ready demo) AI-powered email intelligence system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services More ❯