14 of 14 Permanent Amazon Aurora Jobs

e.g., Kafka, asynchronous workflows) for scalable platform execution. Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora). Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases. Ensure data quality, auditability, and observability through ...

/CD principles. Experience optimising cloud infrastructure for performance, resilience and cost efficiency. Key Skills: AWS (ECS, Auto Scaling Groups, ALB, CloudFront, Lambda, RDS Aurora, ElastiCache, Redshift, S3, MSK, Control Tower) Terraform & Infrastructure as Code Linux (Ubuntu) Bash/Shell scripting Docker PHP 7/8 SQL, MySQL & PostgreSQL ...

concepts to technical and non-technical stakeholders. Demonstrable experience coaching and mentoring development teams. Desirable Strong SQL and data-modelling experience. Experience with AWS, Aurora/PostgreSQL and Grafana . Experience delivering inclusive, human-centred digital services. Please apply today to be considered McGregor Boyall is an equal opportunity ...

experience working with software teams building and shipping applications to the cloud. Hands-on experience managing and scaling distributed data stores (e.g., MySQL/Aurora) at scale, including troubleshooting database bottlenecks and implementing robust backup and disaster recovery strategies. What you will find here: Compensation ...

parent business unit, Catastrophe and Risk Solutions. Working within a modern cloud ecosystem leveraging AWS, AWS CDK, OpenTofu, ECS Fargate, Lambda, DynamoDB, Aurora, Batch, Step Functions, GitHub and Okta, you'll help guide architectural decisions, support platform modernisation, and drive engineering excellence. Why Join Us? This is an opportunity ...

parent business unit, Catastrophe and Risk Solutions. Working within a modern cloud ecosystem leveraging AWS, AWS CDK, OpenTofu, ECS Fargate, Lambda, DynamoDB, Aurora, Batch, Step Functions, GitHub and Okta, you'll help guide architectural decisions, support platform modernisation, and drive engineering excellence. Why Join Us? This is an opportunity ...

user-centred design and agile delivery, and more to deliver innovative digital services that matter Preferred Tech Stack Expertise Cloud Infrastructure: AWS (EKS, RDS, Aurora, ElastiCache, Kafka, IAM) Secure Hosting: Experience working with air-gapped or government-secure environments Container & Cluster Management: Docker, Kubernetes, Rancher, Jenkins, Helm Monitoring & Observability … services are compliant with security standards and support the change and release governance model Build and maintain infrastructure components like event streaming (Kafka), databases (Aurora, RDS, Redis), identity management (Keycloak), and caching layers. Enhance and maintain CI/CD tooling and self-service developer pipelines for tenant teams. Proactively ...

learn and improve Highly Desirable: Experience with non-relational databases, particularly ledger-style data models Experience with databases in the AWS Cloud, such as Aurora, DynamoDB and AWS Glue Experience with large, complex or mixed-quality datasets Experience within Insurance, Claims, Fraud or Financial Services GDPR and Information security ...

have a flat hierarchy and give you the opportunity to make a real impactYour toolkit: You'll work with Kotlin, Kafka, Kubernetes, Docker, AWS Aurora Postgres, and other modern technologies. If you haven't worked with all of these, we value skilled engineers with a willingness to learn. ...

recently completed major projects which included distributing our main rules engine using AWS services, migrated terabytes of data from SQL server to Aurora Postgres, replaced our Single Sign On service with Auth0 and converted our frontend to React. Our Tech Stack Back-end: C# Data storage: PostgreSQL; Amazon storage including Aurora, DynamoDB, S3 Infrastructure: Terraform and AWS, using Fargate, Lambdas, Step functions, and a lot more! Pipeline: GitHub Actions, TeamCity, Octopus Deploy, Serverless Front-end: React, TypeScript How We Work FundApps engineers have a lot of freedom to solve problems in a way that achieves ...

conception to production monitoringCollaborate directly with product, design and data experts to shape solutionsYour toolkit: You'll work with Kotlin, Kafka, Kubernetes, Docker, AWS Aurora Postgres, and other modern technologies. If you haven't worked with all of these, we value skilled engineers with a willingness to learn. ...

Design, develop and maintain scalable, real-time applications using Python Build cloud-native solutions using AWS services including EC2, S3, Lambda, ECS, SQS and Aurora Deploy containerised applications using Docker and Kubernetes, implementing serverless architectures where appropriate Monitor application health and performance using CloudWatch and X-Ray, proactively resolving … Agile ceremonies What you need to bring Strong commercial experience building cloud-native applications within AWS , ideally including S3, Lambda, EC2, ECS, SQS and Aurora Expert-level Python development skills Proven experience designing highly available, scalable and resilient software solutions Solid experience with Docker, Kubernetes and Helm, plus ...

develop scalable Java/Python microservices and REST APIs. Build and operate event-driven solutions using Apache Kafka . Design and optimise AWS Aurora PostgreSQL databases and data platforms. Deploy and support applications using Docker and Kubernetes . Develop API integrations using REST, JSON and modern API design practices. … best practices. Essential Skills Strong hands-on Java and/or Python development experience. Advanced SQL . Strong Apache Kafka experience. Experience with AWS Aurora/PostgreSQL . Production experience with Docker and Kubernetes . Strong REST API and microservices experience. Experience with Grafana, Prometheus or Dynatrace . Strong ...

such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments Strong experience supporting and operating workloads within Amazon Web Services (AWS), including hands-on knowledge of core services such as compute, storage, networking, monitoring, and database technologies (e.g., RDS, DynamoDB, or Aurora ...