Sr. Software Development Engineer, Aurora Engineering Job ID: Amazon Web Services Development Center Germany GmbH Are you interested in building hyper-scale database services in the cloud? Do you want to revolutionize the way databases are built for the cloud ? Do you want to have direct and immediate impact on hundreds of thousands of users who use AWS … database services? AmazonAurora is a MySQL and Postgres compatible, relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar … performance and availability. AmazonAurora is powered by an auto-scaling, auto-healing, distributed storage cluster of massive world-wide scale. AmazonAurora engineering team is looking for experienced software engineers who are excited about building large scale systems spanning tens of thousands of servers, across multiple data-centers worldwide. These are core systems development positions 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 ❯
team. Responsibilities Design, provision, and maintain scalable infrastructure for our trading systems, including CI/CD pipelines, observability stack, and runtime environments. Administer and tune databases such as AWS Aurora, PostgreSQL, and ClickHouse. Automate provisioning and configuration of EC2 and related resources using Ansible and other infrastructure-as-code tools (e.g., Terraform). Ensure secure, stable environments through proper More ❯
on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document analysis and automation risk assessment Lead R&D spikes and validate system improvements through robust data analysis Ensure code quality More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Morgan Hunt Recruitment
on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document analysis and automation risk assessment Lead R&D spikes and validate system improvements through robust data analysis Ensure code quality More ❯
for service mesh GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts Terraform and Ansible for infrastructure as code Postgres (including RDS and Aurora) for most databases SAML, OIDC and LDAP for single-sign on platform Linux is used as a base OS for all servers and containers DataDog for monitoring and logging More ❯
programming techniques and frameworks (in Java). Fluent in SQL and experience with RDBMS like Postgres and Oracle. Experience with Docker and docker-compose. Exposure to AWS specifically S3 , Aurora, ElasticCache Exposure to modern CI/CD platforms like Gitlab (or similar GitHub Actions, CircleCI) Understands the importance of monitoring and proactive in resolving critical issues. Fluent in testing 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 ❯
deployment of services GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts Terraform and Ansible for infrastructure as code Postgres (including RDS and Aurora) for most databases Responsibilities include: Day to day management of cloud infrastructure supporting our various projects, primarily on AWS Deployment of new cloud infrastructure using Terraform and Terragrunt. Development More ❯
deployment of services GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts Terraform and Ansible for infrastructure as code Postgres (including RDS and Aurora) for most databases Responsibilities include: Day to day management of cloud infrastructure supporting our various projects, primarily on AWS Deployment of new cloud infrastructure using Terraform and Terragrunt. Development More ❯
of deploying Continuous Integration solutions An awareness of security considerations in web application deployment Monitoring/Logging aka ELK, Prometheus/Grafana etc Strong AWS knowledge - EC2, EKS, RDS, Aurora, networking, cost management If you'd like to discuss this DevOps Engineer in more detail, please send your updated CV to and I will get in touch. More ❯
of deploying Continuous Integration solutions An awareness of security considerations in web application deployment Monitoring/Logging aka ELK, Prometheus/Grafana etc Strong AWS knowledge - EC2, EKS, RDS, Aurora, networking, cost management If you'd like to discuss this DevOps Engineer in more detail, please send your updated CV to (url removed) and I will get in touch. More ❯
Boot, and RESTful services/APIs. Expertise in microservices architecture design, implementation, and container-based APIs (Docker, Kubernetes). Experience with relational database design/optimization (MySQL, PostgreSQL, AWS Aurora) and using AWS. Proficiency in CI/CD practices, Git/Gitlab, and working in a virtualized environment. Experience with authorization/authentication services, Kafka/messaging middleware, and More ❯
expertise in AWS cloud engineering and serverless architecture - Strong Terraform experience for AWS infrastructure automation - Deep knowledge of core AWS services: S3, IAM, Lambda, Glue, API Gateway, Athena, CloudTrail, Aurora/RDS, SQS - Experience with Glue Crawlers, EUP, and Secrets Manager - Familiarity with Spark and Python for data engineering (desirable) - Experience with SageMaker Unified Studio (a plus More ❯
Work with the Product team to understand user needs and follow an Agile SDLC to develop and deliver product features. Our stack includes Java/Spring Boot, Kotlin, DynamoDB, Aurora/MySQL, and AWS. Participate in designing how our architecture evolves to meet needs, using ADRs, microservices on Kubernetes, Kafka, and event-driven design. Take ownership of tasks from More ❯
. Proven track record building large-scale, low-latency distributed systems in trading or financial environments. Deep understanding of data streaming, order management systems, and modern persistence technologies (e.g., Aurora, DynamoDB). Experience working in front-office trading environments, ideally with exposure to FX and/or crypto trading/markets. Familiarity with event-driven architecture, FIX protocol, and More ❯
others, and shape engineering best practices as we scale. Their Tech Stack: Backend: TypeScript (Node.js), Ruby on Rails Frontend: TypeScript, React, Hotwire (Turbo/Stimulus) Infrastructure: AWS (Lambda, Fargate, Aurora, CloudFormation), PostgreSQL, Redis DevOps & Tooling: Serverless Framework, GitHub Actions, Terraform, Sidekiq Our client is looking to fill this role URGENTLY and will interview this week for the right candidate More ❯
and building financial/trading systems Comfortable in a fast-paced environment FX and/or Crypto Trading experience Experience in building transactional systems backed by modern persistence technologies (Aurora, DynamoDB etc.) Experience with Agile development of distributed services, with a focus on robust software design, scalability and security. Experience building and deploying containerised applications into modern distributed computing More ❯
problem-solving mindset with high attention to detail. A pragmatic approach to designing data solutions in a startup environment. Familiarity with TypeScript and cloud-based infrastructure, particularly AWS (e.g., Aurora/Lambda). Experience working with Jira and GitHub as part of agile software development. Understanding of data privacy, security, and compliance-especially in healthcare or public sector contexts. More ❯
to-end, from conception to production monitoring Collaborate directly with product, design and data experts to shape solutions Your 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. A product-focused engineering mindset Experience More ❯
strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with modern databases (Aurora, DynamoDB) and deploying services via Kubernetes or Nomad. Solid understanding of agile software development, automated testing, and secure, scalable architecture design. Exposure to FX and/or crypto markets More ❯
of your time will be spent working as an individual contributor. Our tech stack: Ruby on Rails 7, Hotwire (Turbo, Stimulus), View Components, Sidekiq, PostgreSQL, Redis, Serverless, AWS (Fargate, Aurora, ElastiCache), GitHub In this role, you'll get to: Design, implement and deliver software such as ingestion pipelines, API and a greenfield internal operations application. Align technical solutions with More ❯
to-AWS migration showcase (client-ready demo) AI-powered email intelligence system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development More ❯
