At a Glance
- Tasks: Lead the QA function, ensuring top-notch software quality for our innovative legal platform.
- Company: Join Lawhive, a pioneering legal tech startup on a mission to democratise access to law.
- Benefits: Enjoy meaningful equity, 33 days off, and top-spec equipment.
- Why this job: Shape the future of legal tech while working with cutting-edge AI technology.
- Qualifications: Experience in automated testing tools and frameworks, especially in web and AI software.
- Other info: Be part of a diverse team focused on innovation and excellence.
The predicted salary is between 90000 - 110000 £ per year.
About Lawhive
We’re on a mission to make sure everyone has access to the law. Lawhive is an online platform for consumers and small businesses to get legal help for a fraction of the cost of a law firm. Our platform combines regulated human lawyers collaborating alongside the world’s first AI lawyer, specifically built for consumer legal work. Equal access to the law is one of the biggest and most pressing unsolved problems in society today. We’re passionate about leveling the playing field and believe access to the law should be a basic utility in society. Our AI lawyer Lawrence is built on top of our own fine-tuned LLM and recently passed the UK’s bar exam equivalent. We’re backed by some of the top US and UK VC funds including Google Ventures, Balderton Capital and TQ Ventures. We recently secured a $40M Series A funding round to facilitate international expansion and to grow our team, representing one of the five largest Series A rounds in Europe for 2024.
The Role
You’ll be the first Staff QA Engineer at Lawhive, and this is a unique opportunity to shape a new QA function working with technical and product leaders across the company. You’ll help us set a high bar for delivering exceptional software used by lawyers and their clients every day, including designing solutions to new challenges around LLM-based software.
What the job involves:
- Owning the testing infrastructure to improve our product quality and avoid regressions in AI-first software.
- Working with product teams and our lawyer users to validate work we’re doing, improve our testing and quality rigour, and contribute to how we release and build exceptional products.
- Building and maintaining test suites and pipelines that keep pace with our rapid product development across our product and AI functions.
- Working with the rest of the engineering team to adopt better testing methodologies and tools to improve the quality of their work.
- Defining and monitoring key flows, runbooks and quality metrics across product teams and contributing to our monitoring and reporting infrastructure with our platform and DevOps engineers.
Our Engineering Culture:
- Ship daily - We’re building and releasing features fast, going from idea to production in hours rather than weeks.
- Empathise with users - Lawyers and legal clients have unique perspectives, preferences and expectations. We build products which understand them deeply.
- Strive for excellence - We’re ambitious and moving fast. The whole business is pushing to be a category defining legal tech company.
- Constantly learning and experimenting - We’re at the cutting edge of using AI to directly improve people’s lives. We take a blue-sky but pragmatic approach to how we apply new technologies.
Our tech stack and day to day tools are:
- TypeScript for the majority of our applications, frontends, and microservices.
- Python for data ingestion and our AI services.
- AWS for our cloud infrastructure.
- Postgres for our data storage.
- Terraform for defining infrastructure as code.
What you’ll bring:
- You are very comfortable with automated testing tools and frameworks in the web, Typescript and Python ecosystems end-to-end (e.g. Playwright, Github Actions, Vittest, Pytest).
- You have built from the ground up testing frameworks and patterns for high velocity engineering teams.
- You have worked with engineering and infrastructure teams to apply testing patterns and practices in their daily work.
- You are familiar with AI software and the unique testing challenges posed by non-deterministic software.
Interview process:
- Introductory call with our Talent team.
- 1:1 with your hiring manager.
- Technical interview.
- Values interview with our CTO/Co-founder.
We offer!
- UK Benefits: Meaningful early-stage equity at one of Europe’s fastest growing startups.
- 33 days’ annual leave (25 + bank holidays) plus your birthday off.
- Pension contribution via Nest.
- 20% off legal fees through Lawhive.
- Top-spec equipment - MacBook/Windows.
- Regular team building activities and socials!
Diversity at Lawhive
At Lawhive, we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re always working hard to ensure we build a diverse, inclusive team, and as we scale, we’ll only ever increase the focus we apply to this.
Compensation Range: £90K - £110K
Staff QA Engineer employer: Sequel
Contact Detail:
Sequel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff QA Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the legal tech space, especially those who work at Lawhive or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for your interviews by understanding the unique challenges of testing AI software. Brush up on automated testing tools and frameworks relevant to the role, so you can impress them with your knowledge and skills.
✨Tip Number 3
Show your passion for equal access to law! When you talk about your experiences, relate them back to how they can help Lawhive achieve its mission. This will demonstrate that you’re not just looking for a job, but you genuinely care about their cause.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and contributing to something meaningful.
We think you need these skills to ace Staff QA Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Staff QA Engineer role. Highlight your experience with automated testing tools and frameworks, especially in TypeScript and Python, as this will show us you’re a great fit for our team.
Showcase Your Passion: We love candidates who are passionate about legal tech and AI! Share any relevant projects or experiences that demonstrate your enthusiasm for improving access to the law through technology. This will help us see how you align with our mission.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re proactive and keen to join our team at Lawhive.
How to prepare for a job interview at Sequel
✨Know Your Tech Stack
Familiarise yourself with the tech stack mentioned in the job description, especially TypeScript and Python. Be ready to discuss your experience with automated testing tools like Playwright and Pytest, as well as how you've built testing frameworks in high-velocity environments.
✨Understand the Role of AI in QA
Since Lawhive is working with AI-based software, it's crucial to understand the unique testing challenges that come with it. Prepare examples of how you've tackled non-deterministic software testing in the past and be ready to share your thoughts on best practices.
✨Emphasise User Empathy
Lawhive values understanding their users deeply. Think about how you can demonstrate empathy towards lawyers and legal clients during the interview. Share experiences where you’ve considered user perspectives in your QA processes or product development.
✨Show Your Passion for Learning
The company culture at Lawhive encourages constant learning and experimentation. Be prepared to discuss how you stay updated with the latest trends in QA and AI, and share any recent projects or experiments you've undertaken that showcase your proactive approach to learning.