Software Engineer; DevOps - Managed Storage

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.

As we continue our lightning‑fast growth, our people and culture are essential to our success. We are a Great Place to Work and currently have 13,000+ people working around the world, from our offices and remotely. We are looking for brilliant people who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people worldwide, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.

We’re looking for a Software Engineer with expertise in self‑managed storage solutions such as Redis and Kafka, who’s excited about building and operating critical infrastructure at a global scale.

Since most of our core infrastructure is designed, built, and operated internally, you’ll be developing for resilience, automation, and scale from day one.

Up to shape what’s next in finance? Let’s get in touch.

• Designing, operating, and evolving our storage solutions, such as Kafka clusters at scale, across cloud and/or on‑premise environments
• Building and maintaining self‑managed, highly available distributed systems (messaging, storage, data infrastructure)
• Architecting multi‑region deployments, failover strategies, and disaster recovery for mission‑critical systems
• Developing infrastructure as code and internal self‑service platforms to enable engineering teams to provision and operate safely at scale
• Driving automation across provisioning, scaling, upgrades, patching, and incident remediation
• Contributing to reliability standards (SLOs, SLIs, error budgets) and improving observability across the stack
• Working closely with backend, platform, security, and compliance teams to design infrastructure that meets regulatory and audit requirements
• Participating in incident response and postmortem processes, focusing on systemic improvements rather than firefighting

• Expertise operating Apache Kafka in production at scale, including cluster provisioning, lifecycle management, capacity planning, performance tuning, replication, failover, and resilience design
• Knowledge of security hardening (ACLs, encryption, authentication)
• A background in SRE, platform engineering, or infrastructure engineering
• A deep understanding of distributed systems concepts (consensus, partitioning, fault tolerance, back pressure, networking)
• Experience with Linux, containerisation (Docker), and Kubernetes
• Expertise with Infrastructure as Code (e.g., Terraform) and configuration management (e.g., Ansible)
• Familiarity with CI/CD systems and automation pipelines
• The ability to independently design and deliver complex systems in collaboration with multiple internal stakeholders
• Hands‑on software engineering skills

• Experience operating other stateful systems at scale (e.g., Postgres, Redis, object storage)
• Knowledge of monitoring and observability tooling (e.g., Prometheus, Stackdriver, Vector, Victoria Metrics)
• Exposure to regulated environments or financial systems
• Experience operating infrastructure across cloud (GCP/AWS) and on‑premise environments