Lead Backend Engineer (Hiring Immediately)

Placed
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Platform AI Engineer

Senior AI Engineer

Senior Product Manager, Credit Platform London

Technical Lead - Software Engineer (Full Stack) Bristol

Senior Data Engineer

Are you a backend engineer withAWS experienceand a deep understanding ofmicroservices architecture? Are you ready to bring your expertise to a dynamic, high-potential fintech venture? If you're passionate about building highly scalable, secure, reliable and well–architected backend solutions, and making a tangible impact, this is your opportunity to join us as our Lead Backend Engineer


About Us:

We’re one of the mostexciting new fintech companies in the UK.Firenze is fast emerging as the leading Lombard lending offering in the market due to our unique approach and development ofa cutting-edge platform. We’re on a mission to unlock access to one of the last remaining solutions that’s only available to the wealthy through private banks. We’rebringing lending secured against your investmentsto the masses. 

Led by a successful second time founder and a team of leading experts across technology and finance, Firenze is backed by some of the world’s most prominent investors. These include many of the UK’s top fintech angels and the scout funds of tier one VCs.


Role Overview:

As a foundational member of our technical team, you’ll collaborate closely with our CTO to establish the core backend architecture, cloud infrastructure, and deployment strategies. Starting from a blank slate, this is a rare opportunity to shape the entire technical direction of our platform and support the company’s growth.

As the Lead Backend Engineer, you will have deep expertise in cloud-based technologies; you will contribute to high-level architecture decisions, lead the development of a fully automated, scalable solution, and define the deployment strategy. Experience in data engineering will also be highly valuable as we build data pipelines to handle loan-and portfolio- related data efficiently and securely, enabling the business to build vital data insights.This role is remote, but occasional travel will be expected to both Manchester and London.


Key Responsibilities:

  • Technical Leadership:Act as the technical lead for backend engineering, setting standards, conducting code reviews, and mentoring other developers to uphold best practices and drive a culture of excellence.
  • Architectural Design on AWS: Lead high-level backend architecture using AWS services for optimal scalability, security, and performance, including database design, API structuring, and third-party integrations.
  • Prototype and MVP Development:Design and implement early prototypes and MVP solutions on AWS, laying the groundwork for our platform's core features.
  • Data Engineering Support:Collaborate on data architecture, designing efficient data pipelines, ETL processes, and storage solutions.
  • Cloud Hosting & Deployment Strategy:Design and implement deployment strategies with AWS services, including CodePipeline, Elastic Beanstalk, ECS, and Lambda, to ensure reliable and scalable deployment pipelines.
  • Backend Development & Operations:Lead backend development, implementing core functionality with a focus on reliability, maintainability, and security.
  • Cross-Functional Collaboration:Work closely with the CTO and other stakeholders to align technical decisions with business objectives, ensuring the platform meets the company’s strategic goals.


You Should Apply If:

  • Experience:5+ years in backend development with at least 2 years in a senior engineering role. Experience in fintech or financial services is essential.
  • Technical Skills:Advanced proficiency in one or more backend languages (e.g., Python, Java, or Node.js) and significant experience with core AWS services such as Lambda, EC2, S3, and RDS.
  • AWS Microservices & API Design:Expertise in designing and deploying microservices and APIs using AWS (API Gateway, Lambda, and ECS), ensuring secure, efficient, and scalable interactions.
  • High-Level Architecture on AWS:Demonstrated experience in building high-availability, fault-tolerant systems on AWS, with a strong focus on security, compliance, and scalability.
  • Problem Solving:Strong analytical skills with a proven ability to design solutions for complex technical problems.
  • Leadership & Collaboration:Excellent communication skills to collaborate effectively with both technical and non-technical team members, providing mentorship to junior engineers.


Bonus Skills

  • Familiaritywith AWS DevOps tools (CodePipeline, CodeBuild, CodeDeploy), container orchestration (ECS, ECR), and infrastructure as code (AWS CloudFormation, Terraform).
  • Familiarity with event-driven architectures and real-time data processing on AWS (SNS, SQS, Kinesis).
  • Knowledge of data security and regulatory compliance requirements in fintech, including AWS IAM and AWS Shield.
  • Understanding of data engineering principles, as well as ETL processes and data storage best practices.
  • Experience with advanced data processing tools like Amazon EMR or machine learning services such as SageMaker.


What’s In It For You:

Competitive Salary:£80k-£100k per year (negotiable, dependent on experience and location).

Equity Opportunity:Share options in a fast-growing fintech.

Performance Bonuses:Transparent milestone-based team bonuses.

Career Growth:An incredible learning journey with opportunities to make a real impact on the future of financial services.

Ownership & Responsibility:Take charge and lead in a meaningful way.

Collaborative Culture:Work with highly ambitious and focused colleagues.

Generous Leave:30 days annual leave plus bank holidays.


How to Apply:

If you’re excited about joining an early-stage fintech startup and leading the backend development of a new platform, we’d love to hear from you. Send us your CV, GitHub profile, and a short note on why you’re interested in this role.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.