22 of 22 Amazon MSK Jobs in the UK

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 ❯

real-world impact Your Tech Arsenal 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 (Jenkins), Monitoring (CloudWatch, Kibana) Why You'll Love It Here Remote-First Culture - Work from anywhere in the UK? Flexible Hours - Shape your schedule with More ❯

and understand system interfaces and data flows across our enterprise. Design and maintain clear, business-aligned data models. Build and support integrations using AWS services (Lambda, Step Functions, S3, MSK/Kinesis, API Gateway). Ensure data transformations are well documented, traceable, and consistent. Collaborate with product owners, architects, and business stakeholders to clarify requirements and deliver solutions. Troubleshoot 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 ❯

engineers, architects, and DevOps teams to deliver robust streaming solutions. Must have skills: Extensive years of 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 ❯

data pipelines Leading initiatives in infrastructure-as-code, CI/CD, and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals More ❯

data pipelines Leading initiatives in infrastructure-as-code, CI/CD, and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals More ❯

data pipelines Leading initiatives in infrastructure-as-code, CI/CD, and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals More ❯

data pipelines Leading initiatives in infrastructure-as-code, CI/CD, and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals More ❯

data pipelines Leading initiatives in infrastructure-as-code, CI/CD, and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals More ❯

ll bring: Solid understanding of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores) Proficiency with DevOps tools More ❯

ll bring: Solid understanding of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores) Proficiency with DevOps tools More ❯

ll bring: Solid understanding of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores) Proficiency with DevOps tools More ❯

ll bring: Solid understanding of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores) Proficiency with DevOps tools More ❯

ll bring: Solid understanding of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores) Proficiency with DevOps tools More ❯

Bronze ? Silver ? Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and automate deployments. (For leadership-focused More ❯

Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and automate deployments. (For leadership-focused More ❯

Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and automate deployments. (For leadership-focused More ❯

Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and automate deployments. (For leadership-focused More ❯

Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and automate deployments. (For leadership-focused More ❯

to support day-to-day operations, troubleshoot issues, and continuously improve our cloud environment. Key Responsibilities Manage and Monitor AWS Infrastructure Oversee CloudWatch, Amazon Kinesis, SES, SQS, MSK, EC2, RDS, S3, VPC, IAM, EKS, and other AWS services Set up and maintain monitoring, alerting, and logging to ensure system health and performance Optimize cloud resources for cost More ❯