At a Glance
- Tasks: Lead tech initiatives to enhance customer support and optimise operations for over 10 million users.
- Company: Join Monzo, a revolutionary bank making finance accessible and straightforward for everyone.
- Benefits: Enjoy flexible hours, remote work options, a ÂŁ1,000 learning budget, and share options.
- Why this job: Be part of a mission-driven team that values innovation, diversity, and impactful problem-solving.
- Qualifications: Proven experience in technical leadership, optimisation, and collaboration with cross-functional teams.
- Other info: We prioritise inclusivity and offer support for diverse backgrounds and needs.
The predicted salary is between 120000 - 140000 ÂŁ per year.
Senior Staff Backend Engineer, Customer Operations
We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products – we want to solve problems and change lives through Monzo ️
Hear from our UK team about what it\’s like working at Monzo
London / UK Remote | ÂŁ140,000 – ÂŁ175,000 + Share Options | Benefits | Technology
About Customer Operations At Monzo
The Customer Operations team provides tech-led and human support experiences for now over 10 million customers. We don’t just solve customer problems – we aim to improve customer satisfaction and product engagement by providing effortless, fast, and empathetic support.
Our Operations Tech Team Has Three Focus Areas
- Creating in-app experiences that enable customers to solve their own problems. As well as building customer experiences ourselves, we help all product teams at Monzo build better products by developing a system of reusable components that other teams can use.
- Tooling that enables our ~3,500 customer support agents to give the best possible support for customers and automating away things that distract from that.
- Workforce management systems that ensure our customers are connected to high-quality support as quickly as possible, efficiently route customer requests to the right support person at the right time and manage forecasting and scheduling of a ~3,500 strong workforce.
This role will primarily focus on our customer support tooling and workforce management systems.
As a Senior Staff Engineer
A Senior Staff Engineer at Monzo is a technical (IC) leadership position. As a Senior Staff Engineer in the Operations collective at Monzo, you will:
- Partner with the Engineering Director supporting the collective and provide technical leadership across 3+ squads and ~20 engineers.
- Work collaboratively with product, data and operational leaders to identify and execute on opportunities that further the organisation’s goals and strategy, bringing the right level of clarity, urgency and rigour as appropriate.
- Work on solving multi-faceted optimisation problems at scale, such as how to maximise the leverage of technologies like LLMs to aid human workers or how to forecast, schedule and efficiently route requests through a workforce of thousands of people and more generally solve high quality customer support at scale.
- Oscillate between contributing to high-level planning and strategy and organisational leadership and diving deep into the execution of problems and getting hands-on as necessary.
- Use your expert knowledge and experience to lead architectural discussions for the most complex systems in the collective. You’ll do this in order to arrive at solutions that are robust and optimal given the context.
- Keep a high bar for technical excellence in the collective, through your own work, highlighting the work of others and calling out when things haven’t quite met the bar.
- Pro-actively mentor, sponsor and up-level engineers.
What You’ll Be Using
We rely heavily on the following tools and technologies, please note direct experience in these technologies is not required and our interview process can be completed in any language:
- Go to write our application code (there’s an excellent interactive Go tutorial here)
- Cassandra for most persistent data storage
- Kafka for our asynchronous message queue
- Kubernetes and Docker to schedule and run our services
- AWS for most of our production infrastructure and GCP for most of our data infrastructure.
- React for customer support tooling.
- Feast for storing our features along a variety of tools to train and deploy models.
- GPT and Vertex models for Large Language Model support.
We’d love to hear from you if…
- You have a track record of technical excellence, delivering resilient systems, ideally behind consumer products.
- You have experience in solving human + tech problems at scale.
- You have technically led across 3-4 teams to solve complex optimisation problems.
- You have a quantitative mindset: you care about outcomes and you make data-informed decisions.
- You’re comfortable working in a cross-functional team that deals with ambiguity and have experience helping your team and partner team resolve that ambiguity.
- You have experience with or a strong desire to work with Machine Learning specialists to apply various models (including large language models) to real-world problems.
- You have demonstrable experience working with stakeholders, especially non-technical stakeholders at the senior level.
The application journey has 4 key steps
Our interview process involves four main stages after an informal recruiter call:
- Recruiter Call
- Initial Call
- System Design Interview
- Take home task or pair coding exercise
- Final interview including a behavioural and a leadership interview
This process should take around 3-4 weeks – your schedule is really important to us, so we promise to be as flexible as possible!
You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. Please also use that email to let us know if there\’s anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
One of our staff engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here .
What’s In It For You
ÂŁ140,000 – ÂŁ175,000 share options.
️ We’ll help you relocate to the UK.
We can sponsor your visa.
This role can be based in our London office, but we\’re open to distributed working within the UK (with ad hoc meetings in London)
We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
ÂŁ1,000 learning budget each year to use on books, training courses and conferences.
We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.
Plus lots more! Read our full list of benefits.
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don\’t need full or birth names at application stage
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Banking
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Senior Staff Backend Engineer, Customer Operations employer: Monzo Bank
Contact Detail:
Monzo Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff Backend Engineer, Customer Operations
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, especially Go, Cassandra, and Kafka. Even if you don't have direct experience, understanding their applications will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Highlight your experience in solving complex optimisation problems, particularly those that involve both human and tech elements. Be prepared to discuss specific examples where you've successfully led teams through ambiguity and delivered results.
✨Tip Number 3
Showcase your leadership skills by preparing to discuss how you've mentored or sponsored engineers in the past. This role requires a high level of technical excellence, so be ready to demonstrate how you've upheld these standards in your previous positions.
✨Tip Number 4
Research Monzo's mission and values thoroughly. Understanding their approach to customer operations and their commitment to diversity and inclusion will allow you to align your answers with their culture during the interview process.
We think you need these skills to ace Senior Staff Backend Engineer, Customer Operations
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of a Senior Staff Backend Engineer at Monzo. Tailor your application to highlight relevant experiences that align with their focus on customer support tooling and workforce management systems.
Highlight Technical Expertise: In your CV and cover letter, emphasise your technical skills and experience with the tools mentioned in the job description, such as Go, Cassandra, Kafka, and AWS. Even if you don't have direct experience, showcase your willingness to learn and adapt.
Showcase Leadership Experience: Since this is a leadership position, provide examples of how you've led teams or projects in the past. Discuss your approach to mentoring and supporting other engineers, as well as any experience you have in cross-functional collaboration.
Craft a Compelling Cover Letter: Use your cover letter to tell a story about your journey in tech. Explain why you're passionate about Monzo's mission and how your background makes you a perfect fit for the role. Be sure to address how you can contribute to solving complex optimisation problems at scale.
How to prepare for a job interview at Monzo Bank
✨Understand the Company Mission
Before your interview, make sure you grasp Monzo's mission to simplify banking for everyone. Familiarise yourself with their products and how they aim to solve customer problems. This will help you align your answers with their values during the interview.
✨Showcase Technical Leadership Experience
As a Senior Staff Engineer, you'll need to demonstrate your experience in leading technical teams. Prepare examples of how you've successfully led projects across multiple squads, focusing on complex optimisation problems and how you’ve driven results through collaboration.
✨Prepare for System Design Questions
Expect to tackle system design questions that assess your ability to create scalable solutions. Brush up on your knowledge of tools like Kubernetes, Docker, and AWS, and be ready to discuss how you would approach designing customer support tooling or workforce management systems.
✨Emphasise Data-Driven Decision Making
Monzo values a quantitative mindset, so be prepared to discuss how you've used data to inform your decisions in past roles. Share specific examples where your data analysis led to improved outcomes, especially in customer operations or tech-led support environments.