25 of 25 Amazon Aurora Jobs in the South East

maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience with database technologies such as SQL Server , AWS Aurora , MongoDB , and DynamoDB . Familiarity with Agile development methodologies (e.g., Scrum , Kanban ). Excellent communication skills and the ability to collaborate with cross-functional teams. Desirable Skills: Experience with More ❯

maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience with database technologies such as SQL Server , AWS Aurora , MongoDB , and DynamoDB . Familiarity with Agile development methodologies (e.g., Scrum , Kanban ). Excellent communication skills and the ability to collaborate with cross-functional teams. Desirable Skills: Experience with More ❯

maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience with database technologies such as SQL Server , AWS Aurora , MongoDB , and DynamoDB . Familiarity with Agile development methodologies (e.g., Scrum , Kanban ). Excellent communication skills and the ability to collaborate with cross-functional teams. Desirable Skills: Experience with More ❯

and automation with Python or Bash. Modern CI/CD practices and pipeline creation (e.g., Jenkins, GitHub Actions). Infrastructure as Code tools (Terraform), configuration management (Ansible preferred). Aurora/RDS MySQL (including replication). Monitoring/logging tools (Datadog, Sumo Logic, etc.). Security best practices (server hardening, 2FA, secure data storage). Solid understanding of networking More ❯

and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and testable data transformation workflows, with a strong understanding of modeling best More ❯

and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and testable data transformation workflows, with a strong understanding of modeling best More ❯

and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and testable data transformation workflows, with a strong understanding of modeling best More ❯

programming techniques in Java Proficient in SQL , with experience in RDBMS like Postgres or Oracle Experience working with Docker and docker-compose Familiarity with AWS , particularly services like S3, Aurora, and ElasticCache Proficient with CI/CD tools such as GitLab , GitHub Actions, or CircleCI Strong testing capabilities using JUnit , RestAssured , or similar frameworks Proactive with monitoring, observability, and More ❯

Expertise in asynchronous programming in Java Solid SQL skills and experience with Postgres or Oracle Comfortable working with Docker and docker-compose Exposure to AWS services such as S3, Aurora, and ElasticCache Familiarity with modern CI/CD platforms – ideally GitLab, but GitHub Actions or CircleCI also welcome Proficiency in testing frameworks like JUnit and RestAssured A passion for More ❯

s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate APIs to enable smooth publishing and consumption of events across systems. -Collaborate with engineers on More ❯

s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate APIs to enable smooth publishing and consumption of events across systems. -Collaborate with engineers on More ❯

s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate APIs to enable smooth publishing and consumption of events across systems. -Collaborate with engineers on More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.). Exposure to CI/CD pipelines (e.g., CircleCI). What's on offer: The chance to shape the future of 3D AI technology . A More ❯

You’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 More ❯

You’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 More ❯

You’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 More ❯

ability and a track record of meeting deadlines Excellent communication skills for cross-team collaboration Desirable skills (not essential, but a big plus): SSAS, SSRS, SSIS Kafka, MSK, Snowflake, Aurora DB, SNS AWS or Azure database management If you're ready to join a company that challenges limits, delivers excellence, and offers a truly rewarding career path, we want More ❯

the needs of multiple real-time consumers with reliability and clarity. 📌 About the Role Design and deliver a metadata API for real-time and historical workflows. Model and manage Aurora PostgreSQL relational data with scalability and consistency in mind. Build serverless endpoints using TypeScript on AWS Lambda, exposed via API Gateway. Collaborate with graphics and frontend teams to define … approach to architecture reviews and cross-functional teamwork. 🛫 What makes a successful candidate? Proficient in TypeScript and modern JavaScript (ES6+). Strong experience with AWS serverless (Lambda, API Gateway, Aurora PostgreSQL/RDS). Skilled in relational database design, SQL, and performance tuning. Experienced in RESTful API design (GraphQL a plus) and Swagger/OpenAPI. Knowledge of CI/ More ❯

the needs of multiple real-time consumers with reliability and clarity. 📌 About the Role Design and deliver a metadata API for real-time and historical workflows. Model and manage Aurora PostgreSQL relational data with scalability and consistency in mind. Build serverless endpoints using TypeScript on AWS Lambda, exposed via API Gateway. Collaborate with graphics and frontend teams to define … approach to architecture reviews and cross-functional teamwork. 🛫 What makes a successful candidate? Proficient in TypeScript and modern JavaScript (ES6+). Strong experience with AWS serverless (Lambda, API Gateway, Aurora PostgreSQL/RDS). Skilled in relational database design, SQL, and performance tuning. Experienced in RESTful API design (GraphQL a plus) and Swagger/OpenAPI. Knowledge of CI/ More ❯

the needs of multiple real-time consumers with reliability and clarity. 📌 About the Role Design and deliver a metadata API for real-time and historical workflows. Model and manage Aurora PostgreSQL relational data with scalability and consistency in mind. Build serverless endpoints using TypeScript on AWS Lambda, exposed via API Gateway. Collaborate with graphics and frontend teams to define … approach to architecture reviews and cross-functional teamwork. 🛫 What makes a successful candidate? Proficient in TypeScript and modern JavaScript (ES6+). Strong experience with AWS serverless (Lambda, API Gateway, Aurora PostgreSQL/RDS). Skilled in relational database design, SQL, and performance tuning. Experienced in RESTful API design (GraphQL a plus) and Swagger/OpenAPI. Knowledge of CI/ More ❯

reliable, and high-performance data pipelines and workflows. Develop clean, maintainable, and testable code in Python for data ingestion, transformation, and processing. Optimise and fine-tune query performance on Aurora Postgres and other relational databases. Architect and manage data solutions on AWS using serverless technologies such as Lambda, Glue, Glue Data Catalog, EMR serverless, and API Gateway. Implement and … manage large-scale data processing with Spark (Iceberg tables in S3, Gold layer in Aurora Postgres). Collaborate with data scientists, analysts, and stakeholders to ensure data availability, accessibility, and reliability. Design and maintain robust data models that align with business and financial domain requirements. Ensure best practices for data security, governance, and compliance. Profile Strong Python development skills … with experience writing clean, extensible, and testable code. Proven experience with relational databases (Aurora Postgres preferred), including performance optimisation. Extensive AWS experience, particularly with serverless data engineering tools (Lambda, Glue, Glue Data Catalog, EMR serverless, API Gateway, S3). Solid Spark experience with large-scale data pipelines and data lakehouse architectures (Iceberg format a plus). Hands-on experience More ❯

able to design and write clean, maintainable, and testable code). Extensive AWS expertise, particularly across: Lambda Glue Glue Data Catalog EMR services API Gateway Relational database experience with Aurora Postgres (including query performance tuning). Spark experience, including pipelines using Spark on data stored in iceberg table format in S3 and federated through Aurora Postgres. Proven experience More ❯