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Senior Systems Engineer

Moneybox -
Remote

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Job details

Full-time

Qualifications

Cloud infrastructure
Azure
Node.js
Computer Science
React
Kubernetes
.NET Core
C#
Microsoft SQL Server
.NET
xUnit
Bash (Unix shell)
Analysis skills
JavaScript
Distributed systems
Terraform
Redis
REST
GitHub
APIs
IT
Root cause analysis
Entity Framework
PowerShell

Full job description

At Moneybox, our mission is to give everyone the means to get more out of life. We’re guided by our belief that wealth isn’t about the money, it’s about the means to more – more freedom, opportunities, possibilities, and peace of mind.

Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.

This is a hybrid role. Our office is in London, by the Oxo Tower

Job brief

This role is in our Tech Ops Engineering team that operates our cloud-hosted services. You will be working with people throughout Moneybox to design and deliver platform capabilities, drive operational excellence, support the live service, and shape how we do things.

We're looking for someone who thrives across solution architecture, hands-on engineering, and owning their solutions from concept through to production — and who can bring others along with them. At senior level, we expect you to lead technical direction within the team, make sound decisions under pressure, and actively improve the systems and practices around you. We’re actively embracing AI, and are keen to hear from those with experience or enthusiasm for this new approach.

This team offers and runs the following services;

System Reliability: Maintains and enhances the scalability, availability, security and resilience of systems hosted in the Azure cloud.
Collaborative Development: Provides infrastructure patterns and practices guidance to squads as they develop new services, and continuously improve the IaC, policies and guardrails that allow them to operate independently.
Advanced Technical Support: Works alongside our engineering teams to handle complex technical inquiries related to our live services, ensuring service issues are resolved swiftly, with minimal impact.

Our Tech Stack

Azure: App Services, Functions, Service Bus, Event Hub, CosmosDB, Redis, SQL Server, Databricks, Key Vault, AKS (Kubernetes), Networking, Managed Identity
Infrastructure-as-Code (Terraform / Terraform Cloud)
CloudFlare
GitHub, GitHub Actions, Azure DevOps Pipelines
Datadog
C#, .NET Core / .NET Framework (being phased out)
REST APIs, Hangfire, MediatR, Entity Framework, Mass Transit, xUnit/NUnit
Node, Next.js, React
PowerShell, Bash

What you'll do

Lead the design, build, and operation of cloud infrastructure, platform services, and ops tooling that underpin our live service and empower engineering teams.
Own and evolve monitoring and alerting across production systems - ensuring dashboards and alerts are high-signal and actionable.
Lead incident response during production issues. Coordinate across teams, drive resolution, and ensure thorough post-incident reviews with meaningful follow-up actions.
Investigate and resolve complex technical issues across application, infrastructure, data, and networking layers - performing root cause analysis and implementing durable fixes, not just patches.
Maintain, evolve, and champion our Infrastructure-as-Code (Terraform) to ensure environments are reproducible, auditable, and version-controlled.
Improve CI/CD pipelines and deployment practices to increase engineering velocity while maintaining deployment safety and rollback capability.
Proactively manage cloud capacity and cost — monitoring spend, identifying optimisation opportunities, and contributing to FinOps practices including tagging, budgeting, and cost allocation.
Ensure infrastructure and platform services meet security, regulatory, and compliance requirements. Implement and maintain controls around network segmentation, access management, secrets handling, and vulnerability patching.
Support audit and governance processes with evidence and documentation.
Drive automation of operational toil and repetitive tasks — if you're doing it more than twice, automate it.
Contribute to production-readiness standards — every change should be observable, reversible, and well-tested before it reaches customers.
Foster a knowledge-sharing environment with thorough documentation, runbooks, and a teamwork-oriented culture.
Support the wider business to meet their goals where major infrastructure or service change is required.
Support, coach, and mentor other team members. Raise the technical bar through pairing, code review, and leading by example.
Stay abreast of and (where necessary) apply the latest emerging technologies relevant to systems engineering and cloud infrastructure.

Who you are

Passionate about platform reliability, operational excellence, and building shared ownership of production systems across the wider engineering team.
Comfortable leading incident response under pressure and making sound technical decisions with incomplete information.
Excited about being part of a fast-growing company that's trying to make a positive mark on the world.
A driven, ambitious self-starter who takes ownership and sees things through.
Collaborative attitude - you enjoy working individually as well as within a team, and you naturally bring people along with your ideas.
Pragmatic - you favour simplicity, avoid over-engineering, and know when "good enough" is the right call.
Can embrace our ALOT values.
Knows how to have fun whilst maintaining a professional outlook.

Essential Skills

A degree in Computer Science or relevant experience
Proven track record in a similar role
Strong understanding of:
Cloud Infrastructure (even better if it’s Microsoft Azure)
Infrastructure as Code (Terraform)
Web Application Security (E.g. CloudFlare)
Web and API scalability and performance
Distributed systems
Build and Release Pipelines (E.g. Azure Devops, Github Actions)
Strong analytical and problem solving skills
Comfortable working within a live Cloud environment

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Refine Your Search

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