22 of 22 Amazon MSK Jobs in London

looking for candidates who have: Deep experience designing, operating, and troubleshooting production infrastructure in AWS, including services such as IAM, EC2, EKS, RDS, MSK, S3, Lambda, VPC, and networking Experience administering and scaling multi-tenant Kubernetes clusters and streaming platforms such as Kafka in production, including upgrades, workload isolation ...

working with stream technologies, ideally Kafka 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 ...

C# with Open API standard Source Control: GitHub and Azure DevOps Production Engineering: Troubleshooting, monitoring, logging and performance optimization Highly Desirable Amazon MSK or managed Kafka experience AWS EKS/ECS Terraform/AWS CloudFormation AWS Lambda, API Gateway, SQS, SNS and EventBridge Redis and distributed caching ...

C# with Open API standard Source Control: GitHub and Azure DevOps Production Engineering: Troubleshooting, monitoring, logging and performance optimization Highly Desirable Amazon MSK or managed Kafka experience AWS EKS/ECS Terraform/AWS CloudFormation AWS Lambda, API Gateway, SQS, SNS and EventBridge Redis and distributed caching ...

proficiency in Python for automation and integration Familiarity with infrastructure as code, using Terraform or Ansible Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAA Experience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetry Strong problem‐solving ...

proficiency in Python for automation and integration Familiarity with infrastructure as code, using Terraform or Ansible Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAA Experience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetry Strong problem-solving ...

multiplying mediocre code. Tech stack Java (Spring Boot), RESTful APIs, Kafka/event‐driven services CI/CD pipelines, AWS (S3, Lambda, ECS, EKS, MSK) Kubernetes, containerisation, infrastructure as code AI integrations, agentic development workflows, strong security practices Responsibilities Build Java services across REST APIs and Kafka pipelines with ...

firm's partner status (competency badges, certified-headcount targets, co-sell with partner account teams) Streaming and event-driven architecture in production (Kafka/MSK, Kinesis, Structured Streaming) Data products, mesh or federated ownership models applied on a real programme, not just in theory ML and AI platform work ...

Java Developer you will develop and maintain integrations between internal platforms and third party systems using AWS services such as ECS Fargate, SQS, MSK, S3 and IAM. You'll also contribute to the team's Operational Data Store, built using Debezium, Java, Spring Boot and Aurora Serverless v2. ...

cryptocurrency technology ecosystem Experience working with different blockchain technologies is a plus Experience with a SaaS or FinTech company Technologies we use: AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKS Data Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium #J-18808-Ljbffr ...

e.g., Python or Java) for building data workflows and automation. Familiarity with AWS services such as S3, Glue, Lambda, EMR, or streaming tools like MSK/Kinesis. Experience with basic data governance, data quality checks, and security practices (e.g., RBAC, encryption, handling PII). Equal Opportunity We believe talent ...

Databricks and/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure ...

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 ...

Develop and support AWS serverless solutions (e.g. Lambda, API Gateway, Step Functions, DynamoDB, S3).* Implement event-driven architectures using Kafka (preferably on AWS MSK) for high-throughput, near real-time processing.* Work with Docker and Kubernetes to build, deploy and run containerised services.* Contribute to the design … development.* Proven experience building solutions on AWS, ideally including serverless services (Lambda, API Gateway, DynamoDB, etc.).* Hands-on experience with Kafka (preferably AWS MSK) for messaging/stream processing.* Experience with Docker and Kubernetes for container orchestration.* Good understanding of DevOps concepts, with practical experience using ...

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 ...

compliance reporting pipelines where relevant to a client's sector Working with cloud data services (e.g. S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA, or their equivalents on other platforms) — selecting the right tool for each problem rather than defaulting to a stack Practice ...

Develop self-service capabilities for engineering teams to provision and manage approved AWS resources. Provision and operate AWS services including EC2, EKS, RDS, S3, MSK, ElastiCache, IAM, and CloudWatch. Build and maintain CI/CD pipelines using GitHub Actions and related tooling. Manage and improve Kubernetes platforms, GitOps workflows … Preferred Qualifications Experience with Argo CD, Helm, or other GitOps tooling. Familiarity with Airflow, Snowflake, or Apache Iceberg. Experience with Apache Kafka or Amazon MSK. Experience with hybrid cloud, enterprise networking, or multi-account AWS environments. Experience with Ansible or similar configuration management tools. Experience in financial services ...

cloud platform depth (AWS and GCP): hands-on experience with data services across one or both of AWS (Redshift, Glue, S3/Lake Formation, MSK, RDS) and GCP (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Data flow mapping and optimisation: demonstrable experience producing current-state data flow documentation ...

cloud-native data platforms such as Databricks and Snowflake. Strong knowledge of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns. Preferred Qualifications, Capabilities, and Skills: Experience navigating complex data governance, security, and compliance requirements across multi-cloud and hybrid ...

cloud-native data platforms such as Databricks and Snowflake Good 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 solutions Experience navigating complex data governance, security, and compliance requirements across ...

The role We are looking for a Senior Java Developer to help design and deliver a platform built around Java microservices. You will take ownership of backend services, contribute to architecture decisions and work closely ...

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 ...