10 of 10 Amazon MSK Jobs in London

technologies, primarily Kafka, but also Kinesis Experience designing and implementing stream processing applications with Flink Experience working with cloud‐based technologies such as AWS (MSK, S3, Lambda, ECS, SNS) Experience with Kubernetes (either self‐hosted or on the cloud) Experience with SQL databases Experience working with Docker, container deployment ...

skills and proficiency in Python for automation and integrationFamiliarity with infrastructure as code, using Terraform or AnsibleDeep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAAExperience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetryStrong problem-solving skills ...

engineering and architecture - particularly AWS, but familiarity with GCP would also come in handyOur tech stack is mostly AWS (principally EKS, RDS, AmazonMQ and MSK) with some GCP. Terraform, GoLang, Python, TypeScript and GitLab are also prominently featured.We evaluate candidates based on the sum of their strengths. ...

work closely with our Security Engineer and tech leads. Responsibilities Own our infrastructure at scale: the AWS estate today (ECS Fargate, Aurora, ElastiCache, MSK, OpenSearch, Lambda, KMS) and the AWS CDK to Terraform migration. Keep it reliable, observable, and cost‐aware. Build out the deployment pipeline as we consolidate … BYOC/self‐hosted), or a platform like Nuon, Replicated, or Omnistrate. Multi‐cloud (GCP or Azure) IaC, and exposure to Temporal, Kafka/MSK, ClickHouse, or OpenSearch. Our stack Cloud & infra: AWS (ECS Fargate, Aurora Postgres, ElastiCache, MSK, OpenSearch, Lambda, S3, KMS, CloudFront, WAF), Cloudflare (Workers ...

skills with the ability to translate technical concepts for business and executive stakeholders. Experience leveraging AI-assisted development tools such as GitHub Copilot, Amazon Q, or similar technologies to improve engineering productivity.What Would Make You Stand … Experience building cloud-native solutions using Kubernetes/EKS, Docker, and Infrastructure-as-Code. Experience with event streaming and messaging platforms such as Kafka, MSK, or EventBridge. Experience with caching technologies including Redis or Valkey. Experience with NoSQL databases such as MongoDB or DynamoDB. Experience working with C#/ ...

patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach ...

cloud‐native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats ...

cloud-native data platforms such as Databricks and SnowflakeGood understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutionsExperience navigating complex data governance, security, and compliance requirements across multi-cloud ...

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 challenges … data structures, data modeling, and database schema Hands‐on experience with AWS analytics services such as Amazon Redshift, Athena, Glue, EMR, Kinesis, MSK, or QuickSight Experience migrating enterprise data warehouses (e.g., Teradata, Oracle Exadata, Netezza) or Hadoop environments to cloud‐native analytics platforms Amazon ...

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 challenges whether … data structures, data modeling, and database schema- Hands-on experience with AWS analytics services such as Amazon Redshift, Athena, Glue, EMR, Kinesis, MSK, or QuickSight- Experience migrating enterprise data warehouses (e.g. Teradata, Oracle Exadata, Netezza) or Hadoop environments to cloud-native analytics platformsAmazon is an equal opportunities ...