Fletchers Solicitors Backend Engineer interview questions & guide 2026

The interview process at Fletchers Solicitors is heavily weighted toward technical proficiency. The following questions are representative of the patterns reported by candidates. Use these to gauge the depth of your preparation, focusing on your ability to explain your logic clearly while coding.

Technical Coding & Python Proficiency

These questions test your ability to implement clean, efficient code under pressure. Expect the interviewer to probe your understanding of algorithmic efficiency.

• Write a function that calculates the sum of squared numbers in Python.
• Can you refactor your solution to this function to make it more efficient?

Preparation for this role should focus on demonstrating your ability to write clean, maintainable, and efficient code in a collaborative setting. You are expected to demonstrate both technical depth and the ability to articulate your thought process.

Role-Related Knowledge You must be proficient in Python, as it is the primary language used in technical assessments. Focus on writing idiomatic, efficient code and be prepared to discuss the time and space complexity of your solutions.

Problem-Solving Ability Interviewers want to see how you approach a challenge before you start typing. Practice explaining your logic, considering edge cases, and justifying your choice of data structures or algorithms.

Communication & Collaboration Even in a technical-heavy interview, your ability to work with a team is vital. Be prepared to explain your code as you write it, and show openness to feedback or alternative approaches suggested by the interviewer.

The interview process for a Backend Engineer at Fletchers Solicitors is typically composed of 2–3 stages. It generally begins with an initial technical screen or online coding challenge, followed by more in-depth technical discussions. The final stages often involve the team lead or senior engineering members, where the focus shifts toward deeper technical assessment and, occasionally, behavioral fit.

The firm places a strong emphasis on your ability to code live. You should be prepared to work within an IDE environment, potentially without the assistance of AI tools or autocomplete features. The pace is often fast, and the transition from introduction to technical assessment can be immediate.

This timeline illustrates the progression from initial technical screening to final assessment. Use this structure to pace your study, ensuring you are comfortable with live coding early on, while reserving time to prepare for more conversational, team-oriented discussions toward the end of the process.

Live Coding & Algorithmic Efficiency

This is the most critical evaluation area. You will be expected to write functional code live while explaining your logic. Strong performance involves writing clean, readable code and demonstrating an understanding of how to optimize for performance.

Be ready to go over:

• Algorithmic Complexity – Understanding Big O notation and how to analyze the efficiency of your code.
• Python Best Practices – Using built-in functions effectively and writing idiomatic code.

As a Backend Engineer, your primary responsibility is to design, develop, and maintain the server-side logic that powers Fletchers Solicitors’ internal platforms. You will work closely with other engineers and product teams to translate business requirements into technical solutions.

You will be expected to:

• Write efficient, testable, and scalable Python code.
• Participate in code reviews to ensure high quality and adherence to team standards.
• Collaborate with the Fletchers AI team to integrate machine learning models or automated workflows into existing case management systems.
• Troubleshoot and debug complex issues to minimize downtime for critical legal operations.

A successful candidate will possess a strong foundation in software engineering principles and a mastery of Python. While the role is technical, the ability to work within a team is essential.

• Must-have skills: Proficient in Python, strong understanding of data structures and algorithms, experience with unit testing, and the ability to communicate technical concepts clearly.
• Nice-to-have skills: Prior experience with AI or machine learning pipelines, familiarity with legal-tech environments, and experience with cloud infrastructure.
• Experience level: The role often attracts mid-level to senior engineers, particularly those interested in the Fletchers AI division.

Q: How much time should I spend preparing? A: Dedicate at least 1–2 weeks to brushing up on Python coding challenges. Focus on efficiency and the ability to explain your work out loud, as this is a core part of the evaluation.

Q: What is the most important trait for a candidate to show? A: Technical competence is the baseline, but the ability to remain calm and collaborative while coding live is what differentiates successful candidates.

Q: What is the culture like for engineers at the firm? A: The culture is focused on delivery and innovation, particularly within the AI team. While the interview process is rigorous, the day-to-day environment is centered on collaborative problem-solving.

• Practice live coding: Since you may be asked to code without AI assistance, practice on a whiteboard or a simple text editor to get comfortable.
• Explain your logic: Even if your code is perfect, interviewers want to hear why you chose a particular approach. Narrate your process throughout the test.
• Prepare for the "Why": Always have a clear answer for why you chose a specific data structure or algorithm over another.

The Backend Engineer role at Fletchers Solicitors is an excellent opportunity to apply your technical skills to high-stakes, real-world problems. By focusing your preparation on algorithmic efficiency in Python and maintaining clear communication during live coding sessions, you will be well-positioned to succeed. Candidates can explore additional interview insights, practice questions, and preparation resources on Dataford.

This module provides the current compensation range for the position. Use this data to benchmark your expectations and understand how the firm values experience and seniority within the engineering team.