Remote Solution Architect - Java, AWS, AI / ML

Remote Solution Architect - Java, AWS, AI/ML Remote Solution Architect - Java, AWS, AI/ML Get AI-powered advice on this job and more exclusive features. This range is provided by Future Talent Group. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range Direct message the job poster from Future Talent Group Remote Solution Architect - Java, AWS, AI/ML Salary - £100,000 + 10% Bonus + Benefits Location - London, Remote (once a month) We're excited to be partnering with a leading FinTech scale-up that's redefining standards in its industry. With ambitious growth plans to expand its platform and support a rapidly growing international client base, this role is critical to shaping the company's technical and strategic future. We're hiring a Solution Architect with deep expertise in microservices, AWS cloud technologies, and financial systems. This is a key opportunity to help design and implement scalable, secure, and innovative solutions in a dynamic, agile environment. You'll collaborate closely with engineering, product, and business teams to drive impactful change. Key Responsibilities

• Work closely with cross-functional teams to translate business needs into robust technical solutions
• Design scalable, secure, and resilient microservices architectures on AWS
• Develop and implement effective API strategies and system integrations
• Provide technical leadership and mentorship across the development lifecycle
Required Skills
• Solid experience with microservices architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python)
• Deep knowledge of AWS cloud services - including EC2, Lambda, S3, RDS, API Gateway, and IAM
• Strong experience working with Kafka for event-driven and streaming systems
• Proficiency in API development, RESTful principles, and using API management platforms
• Demonstrated success delivering solutions in agile environments (Scrum, Kanban, etc.)
Bonus Skills
• Exposure to AI/ML technologies, including experience with Amazon SageMaker and Amazon Bedrock
• Understanding of deploying, managing, and integrating ML models within production systems
• Annual Bonus
• 30 Days Holiday + Bank Holidays
• Life Assurance
• ...and much more
Interested? Let's talk! Reach out to Scott at Seniority level
• Seniority levelNot Applicable
Employment type
• Employment typeFull-time
Job function
• Job functionInformation Technology
• IndustriesStaffing and Recruiting
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• Solid experience with microservices architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python)
• Deep knowledge of AWS cloud services - including EC2, Lambda, S3, RDS, API Gateway, and IAM
• Strong experience working with Kafka for event-driven and streaming systems
• Proficiency in API development, RESTful principles, and using API management platforms
• Demonstrated success delivering solutions in agile environments (Scrum, Kanban, etc.)