20 of 20 Amazon Kinesis Jobs in London

solutions that are reliable, cost‐effective, and built to grow. This isn’t a generalist role. You’ll be the go‐to expert for Amazon SNS, Amazon SQS, Amazon MQ, and the broader messaging ecosystem — including open‐source technologies like RabbitMQ, Apache ActiveMQ, and MQTT‐based architectures. … responsibilities Act as the primary technical advisor for messaging and event‐driven architecture engagements across EMEA customers Design and validate architectures using Amazon SNS, Amazon SQS, Amazon MQ, and related services (EventBridge, Kinesis) tailored to customer workloads Guide customers migrating from on‐premises message brokers (RabbitMQ ...

effective data solutions that meet complex business needs and support informed decision-making. Experience Required: Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage ...

MongoDB/DocumentDB, MySQL) and analytical/data warehouse systems (Redshift) Experience building and scaling data pipelines (batch and streaming) using tools such as Kinesis, SQS/SNS, and Lambda Strong understanding of search and retrieval systems (Elasticsearch) and how data modelling choices affect downstream relevance and ranking Deep ...

Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently ...

connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest AI based Code developed and AI-built automated data pieplines Key Characteristics Technology expert who constantly pursues knowledge enhancement ...

Spring Boot, Spring, GraphQL , and GraphQL Federation . Integrate with databases, web services, or AWS services (Neo4j, DynamoDB, RDS, S3, Parameter Store, SQS, SNS, Kinesis) to support ingestion, storage, and messaging pipelines. Champion clean code, SOLID principles, and engineering best practices , setting standards and mentoring engineers. Collaborate with product ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks Ability to think strategically and relate architectural ...

high availability of PostgreSQL/QuestDB databases with robust replication strategies. Candidates should bring deep AWS expertise, Python automation skills, experience with Kafka/Kinesis, and a strong background in distributed #J-18808-Ljbffr ...

Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest Key Characteristics Technology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions. Deep ...

management and proactive problem‐solving skills. Experience designing and implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure ...

experience of build tools - Maven and Gradle Knowledge and experience of relational DBMS - Postgresdb Knowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etc Knowledge of using New Relic, Kibana for observing metrics and configuring alerts. Knowledge of using Docker, containers, helm, kustomize ...

Nicole Forsgren. Technology Stack Our copyright product is primarily running in AWS with the following technologies: Java SpringBoot Microservices DynamoDB OpenSearch Postgres S3 Kinesis SNS SQS Docker/ECS/EKS Serverless frameworks Key Responsibilities Architect and Implement: Work as part of a product engineering team to design ...

with Kubernetes and containerised deployments. Strong understanding of CI/CD, observability and modern software delivery practices. Desirable skills Experience with event-driven architectures (Kinesis, Kafka or similar). Experience leading technical projects. Previous mentoring or people management experience. Experience modernising legacy platforms. Experience collaborating with international engineering teams. ...

engineering experience, focusing on backend systems for large‐scale data storage, streaming, and warehousing. Experience with database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and query engines (Trino, Presto, Snowflake). Track record of mentoring and leading teams in successful projects. ...

systems, specifically related to building large-scale data storage, streaming, and warehousing systems. Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.). Show a track record of mentoring ...

workflows using IaC with Terraform and AWS CDK. Develop & optimize CI/CD pipelines to improve software delivery for large-scale distributed systems using Amazon CodeBuild, GitHub Actions & Terraform Enterprise Implement and maintain observability solutions to establish real-time monitoring and proactive incident response using Datadog and AWS CloudWatch … Elasticache, and networking components in a highly available environment. Strong Python programming & automation skills in Python Proven experience with event streaming (i.e. Kafka/Kinesis) Deep understanding of distributed systems architecture, fault tolerance, disaster recovery, and performance tuning Hands-on experience with observability and monitoring tools (e.g. Datadog ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

Amazon's Reliability & Maintenance Engineering (RME) organization is seeking a Senior Product Manager – Technical to own the product strategy and roadmap for OmniFrost, Amazon's next‐generation SCADA platform. OmniFrost is a mobile‐first, AI‐powered monitoring and control system designed to replace legacy vendor SCADA and Amazon … Define deployment requirements across CF, AMZL, and ATS business types spanning NA and EU regions, covering diverse SCADA configurations and equipment vendors (Vanderlande, Dematic, Amazon ARS). Drive feature prioritization across core capabilities: interactive 2D/3D layouts, AI‐assisted triage (Graph RAG‐based smart recommendations), live camera feeds ...