26 to 43 of 43 Amazon Kinesis Jobs in the UK

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 ...

autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production — including architecture ...

that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice and people Mentoring … across the full data engineering stack – from ingestion and streaming through to warehousing, serving, and cost optimisation You have deep experience with streaming architectures – Kinesis, Kafka/MSK, Flink, or Spark Streaming – and know when each is the right choice You can model the cost implications of architecture decisions ...

that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice and people Mentoring … across the full data engineering stack – from ingestion and streaming through to warehousing, serving, and cost optimisation You have deep experience with streaming architectures – Kinesis, Kafka/MSK, Flink, or Spark Streaming – and know when each is the right choice You can model the cost implications of architecture decisions ...

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 ...

text, please click on the "Apply Now" link. Requirements Java Java Springboot JEST (good to have) TypeScript (good to have) AWS services knowledge (Lambda, Kinesis Stream, SQS, Eventbridge) BDD framework cucumber (good to have) CI... 108 E 16th Street, New York, NY 10003 Subscribe to our newsletter Join over ...

text, please click on the "Apply Now" link. Requirements Java Java Springboot JEST (good to have) TypeScript (good to have) AWS services knowledge (Lambda, Kinesis Stream, SQS, Eventbridge) BDD framework cucumber (good to have) CI... 108 E 16th Street, New York, NY 10003 Subscribe to our newsletter Join over ...

scripting/programming language (Python, Go, or similar) for building security automation and tooling. Experience with detection engineering, creating and managing data streams (Cribl, Kinesis) and SIEM tooling (Splunk, QRadar, Sentinel, ArcSight) , or building alerting/observability for security events from across an enterprise. Experience setting up segregated ...

collaborate with cross-functional teams to deliver scalable microservices. The role emphasizes experience with Java/Scala/Kotlin, distributed systems, and AWS/Kinesis, with opportunities to work on AI-enabled solutions and fast-moving, data-driven projects. #J-18808-Ljbffr ...

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 ...

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 ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS’s analytics portfolio, including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You’ll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation … reference architectures. Key job responsibilities Architect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch). Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud‐native analytics, including ETL refactoring ...

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 ...

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 ...