AWS Cloud-Native Databases SME

AWS Cloud-Native Databases SME

Posted 1 week ago by 1772593098

£447 Per day
Inside
Hybrid
Northampton, Northamptonshire

Summary: The role of AWS Cloud-Native Databases SME involves collaborating with cross-functional teams to design and deliver proof of concepts for fraud detection, leading data migration to cloud-native databases, and ensuring integration with existing systems. The position requires strong AWS expertise and programming skills, particularly in Java and NodeJS, within a hybrid working environment. The contract is for 10 months and classified as inside IR35. The ideal candidate should possess a hands-on approach and strong communication skills to engage with various stakeholders.

Key Responsibilities:

  • Collaborate with cross-functional teams to architect, design, develop and deliver PoCs related to fraud detection.
  • Lead the migration of data and services from Aerospike to cloud-native databases as required.
  • Integrate Databricks-based back-testing into the fraud detection pipeline.
  • Work closely with architects and other developers to ensure seamless integration with existing systems.
  • Participate in weekly stand-up calls to demonstrate progress and align on deliverables.
  • Take ownership of tasks from the backlog, ensuring timely and high-quality delivery.

Key Skills:

  • Strong AWS expertise, particularly with strong experience in cloud-native databases, relational stores and caching technologies (eg, DynamoDB, Redis, Postgres, Aerospike, etc.).
  • Proficiency in Kafka for Real Time data streaming and integration.
  • Experience with NodeJS on AWS.
  • Working knowledge of Aerospike and its data model would be an added advantage.
  • Solid programming skills in Java (Back End development).
  • Must have hands-on experience in microservices-based distributed environments, with a solid understanding of service orchestration and inter-service communication.
  • Performance and Code Quality - candidate should demonstrate a strong commitment to building high-performance, scalable, and resilient distributed systems, with an emphasis on clean, maintainable, and testable code.
  • CI/CD Proficiency - Hands-on experience with CI/CD pipelines and tools (eg, Jenkins, GitHub Actions, GitLab CI, etc.) for automated build, test, and deployment processes.
  • Secure Development Practices - Awareness of secure coding standards, data protection principles, and experience working in regulated environments (especially relevant for fraud detection and financial services).
  • Testing Rigor - Strong understanding of unit testing, integration testing, and test automation frameworks (eg, JUnit, Jest, PyTest, etc.) to ensure code quality and reliability.
  • Familiarity with cloud-native development and CI/CD practices.
  • Agile mindset with a proactive, developer-driven approach to problem-solving.

Salary (Rate): £447 per day

City: Northampton

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Role: AWS Cloud-Native Databases SME
Location: Northampton
Working Mode: Hybrid (weekly 2-3 days Onsite)
Contract Type: Inside IR35
Duration: 10 months
Pay Rate: £447 per day Inside IR35

Key Responsibilities:
Collaborate with cross-functional teams to architect, design, develop and deliver PoCs related to fraud detection.
Lead the migration of data and services from Aerospike to cloud-native databases as required.
Integrate Databricks-based back-testing into the fraud detection pipeline.
Work closely with architects and other developers to ensure seamless integration with existing systems.
Participate in weekly stand-up calls to demonstrate progress and align on deliverables.
Take ownership of tasks from the backlog, ensuring timely and high-quality delivery.

Required Skills & Experience:
Strong AWS expertise, particularly with strong experience in cloud-native databases, relational stores and caching technologies (eg, DynamoDB, Redis, Postgres, Aerospike, etc.).
Proficiency in Kafka for Real Time data streaming and integration.
Experience with NodeJS on AWS.
Working knowledge of Aerospike and its data model would be an added advantage.
Solid programming skills in Java (Back End development).
Must have hands-on experience in microservices-based distributed environments, with a solid understanding of service orchestration and inter-service communication.
Performance and Code Quality - candidate should demonstrate a strong commitment to building high-performance, scalable, and resilient distributed systems, with an emphasis on clean, maintainable, and testable code.
CI/CD Proficiency - Hands-on experience with CI/CD pipelines and tools (eg, Jenkins, GitHub Actions, GitLab CI, etc.) for automated build, test, and deployment processes.
Secure Development Practices - Awareness of secure coding standards, data protection principles, and experience working in regulated environments (especially relevant for fraud detection and financial services).
Testing Rigor - Strong understanding of unit testing, integration testing, and test automation frameworks (eg, JUnit, Jest, PyTest, etc.) to ensure code quality and reliability.
Familiarity with cloud-native development and CI/CD practices.
Agile mindset with a proactive, developer-driven approach to problem-solving.

Ideal Candidate Profile:
A hands-on architect & developer with a strong sense of ownership and accountability.
Comfortable working in a collaborative, fast-paced environment.
Able to pick up tasks independently, contribute to design discussions, and deliver integrated solutions.
Strong communication skills to engage with both technical and non-technical stakeholders.

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.