Software Engineer (DevOps) - Managed Storage
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Key skills for this role
About the Role
Revolut is looking for a Software Engineer with DevOps expertise in self-managed storage solutions like Redis and Kafka to build and operate critical infrastructure at global scale.
Key Skills for This Role
Responsibilities
- 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
Requirements
- 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, backpressure, 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
Full Job Posting
About Revolut
- 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, 2 things are essential to our success: our people and our culture.
- In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™.
- So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission.
About The Role
- Our Technology team builds the systems and experiences that keep Revolut moving.
- 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.
What You'll Be Doing
- 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
What You'll Need
- 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, backpressure, 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
Nice to have
- Experience operating other stateful systems at scale (e.g., Postgres, Redis, object storage)
- Knowledge of monitoring and observability tooling (e.g., Prometheus, Stackdriver, Vector, VictoriaMetrics)
- Exposure to regulated environments or financial systems
- Experience operating infrastructure across cloud (GCP/AWS) and on premise environments
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