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- Tasks: Design and implement innovative solutions using Java, AWS, and AI/ML technologies.
- Company: Join a leading FinTech scale-up redefining industry standards with ambitious growth plans.
- Benefits: Enjoy a competitive salary, 10% bonus, 30 days holiday, and life assurance.
- Why this job: Be part of a dynamic team driving impactful change in a fast-paced, agile environment.
- Qualifications: Solid experience in microservices, AWS, and API development; familiarity with AI/ML is a plus.
- Other info: Remote work with monthly office meet-ups in London.
The predicted salary is between 72000 - 84000 £ per year.
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 level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Staffing and Recruiting
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Remote Solution Architect - Java, AWS, AI/ML employer: Future Talent Group
Contact Detail:
Future Talent Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Solution Architect - Java, AWS, AI/ML
✨Tip Number 1
Familiarise yourself with the latest trends in microservices architecture and AWS technologies. Being able to discuss recent developments or case studies during your conversations can demonstrate your passion and expertise.
✨Tip Number 2
Network with professionals in the FinTech sector, especially those who work with AWS and microservices. Engaging in relevant online communities or attending industry meetups can help you make valuable connections that might lead to referrals.
✨Tip Number 3
Prepare to showcase your problem-solving skills by discussing specific challenges you've faced in previous roles. Be ready to explain how you designed solutions that align with business needs, particularly in agile environments.
✨Tip Number 4
If you have experience with AI/ML technologies, be sure to highlight this in discussions. Understanding how to integrate these technologies into financial systems can set you apart from other candidates.
We think you need these skills to ace Remote Solution Architect - Java, AWS, AI/ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with microservices architecture, AWS cloud services, and any relevant financial systems. Use specific examples to demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the key responsibilities mentioned in the job description, particularly your experience with API development and agile methodologies.
Showcase Relevant Projects: If you have worked on projects involving Docker, Kubernetes, or AI/ML technologies, be sure to include these in your application. Highlight your role and the impact of your contributions to demonstrate your capability.
Prepare for Technical Questions: Anticipate technical questions related to AWS services, microservices architecture, and API strategies. Be ready to discuss your problem-solving approach and provide examples from your past experiences.
How to prepare for a job interview at Future Talent Group
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with microservices architecture, AWS services, and API development. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to meet the role's requirements.
✨Understand the Company’s Vision
Research the FinTech scale-up and its growth plans. Understanding their mission and how your role as a Solution Architect can contribute to their objectives will show your genuine interest and alignment with their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you’ve designed scalable solutions or led cross-functional teams, and be ready to explain your thought process and the outcomes.
✨Demonstrate Agile Methodology Knowledge
Since the role involves working in agile environments, be ready to discuss your experience with Scrum or Kanban. Share how you've adapted to changes and collaborated with teams to deliver successful projects on time.
