10 of 10 Remote Amazon MSK Jobs

Fargate, EKS Databases: DynamoDB, Aurora, DocumentDB (MongoDB experience a bonus) Auth/Identity: OAuth, OIDC, Okta, Auth0, Passport, IdentityServer DevOps & Infrastructure: Terraform, GitHub Actions, Docker Event Systems: Kafka, AWS MSK, EventBridge, SNS/SQS Frontend: React Must Have Proven track record of integrating or building authentication and authorisation solutions (OAuth, OIDC) Experience with AWS (DynamoDB, ECS Fargate) Strong ASP.NET More ❯

Fargate, EKS Databases: DynamoDB, Aurora, DocumentDB (MongoDB experience a bonus) Auth/Identity: OAuth, OIDC, Okta, Auth0, Passport, IdentityServer DevOps & Infrastructure: Terraform, GitHub Actions, Docker Event Systems: Kafka, AWS MSK, EventBridge, SNS/SQS Frontend: React Must Have Proven track record of integrating or building authentication and authorisation solutions (OAuth, OIDC) Experience with AWS (DynamoDB, ECS Fargate) Strong ASP.NET More ❯

Fargate, EKS Databases: DynamoDB, Aurora, DocumentDB (MongoDB experience a bonus) Auth/Identity: OAuth, OIDC, Okta, Auth0, Passport, IdentityServer DevOps & Infrastructure: Terraform, GitHub Actions, Docker Event Systems: Kafka, AWS MSK, EventBridge, SNS/SQS Frontend: React Must Have Proven track record of integrating or building authentication and authorisation solutions (OAuth, OIDC) Experience with AWS (DynamoDB, ECS Fargate) Strong ASP.NET More ❯

Remote (Europe) Start date: Within 1-3 weeks of offer Tech Stack: AWS: EKS/ECS, EC2, ALB/NLB, API Gateway, Lambda, S3/CloudFront, DynamoDB, ElastiCache, Aurora, MSK/Kinesis, OpenSearch, Route53, WAF/Shield, CloudWatch, X-Ray, IAM, KMS, Secrets Manager IaC & CI/CD: Terraform, CloudFormation, Helm, Argo CD, Flux, GitHub Actions, Jenkins, GitLab CI More ❯

designed for scale, resilience, and agility. Frontend: React.js (Hooks, Context API) TypeScript Redux Cypress, Jest Backend: Java 11+ Spring Boot RESTful APIs Microservices PostgreSQL Kafka Cloud & DevOps: AWS (EKS, MSK, Opensearch) CI/CD with Jenkins Monitoring with CloudWatch, Kibana Why You'll Love Working Here This isn't just a role-it's a career accelerator. You'll More ❯

More.. DATA ENGINEER – ESSTENTIAL SKILLS Proven experience building data pipelines using Databricks . Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake/Delta Live Tables and the Medallion architecture . Hands-on experience with AWS services such as S3 More ❯

Demonstrable experience applying Generative AI concepts to front-office/capital markets environments Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation) Passion for being hands-on while enabling and growing a small engineering team Nice to Have Experience with on-prem Hadoop and Kubernetes Familiarity with AWS cost management More ❯

experience applying Generative AI concepts (ideally in a front-office/capital markets environment) Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation) Experience working in a fast-paced front-office environment in either engineering or analytical roles Passion for being hands-on and contributing to a collaborative engineering culture Nice More ❯

experience applying Generative AI concepts (ideally in a front-office/capital markets environment) Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation) Experience working in a fast-paced front-office environment in either engineering or analytical roles Passion for being hands-on and contributing to a collaborative engineering culture Nice More ❯

components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) Strong proficiency in Java, Python, or Scala Solid understanding of event-driven architecture and data streaming patterns Experience deploying Kafka on cloud platforms such as AWS, GCP, or More ❯