26 to 40 of 40 Amazon Kinesis Jobs in the UK

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 ...

closely with engineers across the platform. Essential Skills & Experience Strong commercial experience with Node.js and TypeScript Experience building APIs and microservices Experience with Kafka, Kinesis, or similar streaming technologies Strong understanding of event-driven architectures Hands-on AWS experience Experience with SQL and/or NoSQL databases Familiarity with ...

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. ...

Amazon Connect Developer, £475 - 525 per day Inside IR35 3 months rolling, Remote Working Bench IT require a hands-on Amazon Connect Developer to join a team delivering contact centre solutions for enterprise clients. You'll take architecture designs and client requirements and turn them into working, tested … production-ready builds within Amazon Connect - covering contact flows, integrations, and custom logic that power real customer interactions. Key Responsibilities Build and configure Amazon Connect contact flows, queues, routing profiles, and hours of operation Build integrations between Amazon Connect and downstream systems (CRM, WFM, ticketing platforms ...

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 ...

Shores, we’re creating a world of work where potential matters more than experience. Our market-leading, task-based psychometric assessments help organisations like Amazon, Siemens and Jet2 make fair, evidence-based hiring decisions. We’ve doubled ARR year-on-year for the past three years and are looking … Typescript, Python Http4s, Http4k, Circe, Cats, Cats-Effect, Doobie, React, Exposed Testing Specs2, ScalaCheck Infrastructure & DevOps AWS (EKS, Lambda, RDS/Postgres, DynamoDB, SQS, Kinesis, S3, Cognito, Route53, VPC, EC2) Terraform, Kubernetes, Helm, Ansible, Puppet GitLab CI Observability & Data Prometheus, Grafana, OpenSearch Snowflake You don’t need experience ...

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 ...

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 ...

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 ...

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 ...

edge environments, using platforms such as AWS or Azure, with a strong understanding of distributed systems and event‐driven architectures (e.g. Apache Kafka, AWS Kinesis, messaging and streaming patterns). Experience designing architectures for high volume, time critical, or sensor driven data, including streaming, time series, and geospatial data … senior leaders. Hands‐on experience with modern cloud native data platforms, such as: MODCloud – ICE, ACE environments AWS data services (e.g. S3, Redshift, EKS, Kinesis) Azure data services (e.g. Data Lake, Synapse, AKS) GCP Kubernetes‐based platforms and containerised data services Telicent Understanding of NATO data standards, interoperability requirements ...

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 ...