DevOps Engineer | 55,000 - 65,000 | Remote / UK-based
Were looking for an experienced DevOps Engineer to join a growing Engineering team, supporting systems that serve tens of thousands of customers. Youll play a key role in deploying, monitoring and operating our applications across critical production environments, with a direct impact on user experience, customer satisfaction and company growth.
Working in an agile environment, youll collaborate with engineers, architects and product colleagues to design and maintain scalable, resilient infrastructure. Youll use modern tools such as AWS, Terraform, Kubernetes and Ansible, and bring a positive, organised and team-focused approach to solving complex problems.
Build, maintain and improve observability and monitoring solutions, ensuring system health and uptime, including participation in on-call rotation.
Design, implement and optimise continuous delivery systems, advising development teams on resiliency, operability and best practices.
Configure and administer advanced Kubernetes clusters (networking, storage, namespacing, multi-node groups).
Configure and administer Kafka clusters with disaster recovery and data loss prevention mechanisms.
Contribute to agile ceremonies (stand-ups, sprint planning, retrospectives) to support delivery goals.
3+ years in a DevOps role, ideally within a SaaS environment.
~ Strong background in distributed systems (load balancing, messaging, distributed databases).
~ Hands-on experience with configuration management tools (e.g. Expertise in cloud platforms, particularly AWS.
~ Kubernetes cluster administration, including non-standard networking, storage classes and multi-node groups.
~ Advanced Kafka administration, including topic configuration and disaster recovery.
~ Knowledge of IP networking (TCP, UDP, firewalls, SSL).
~ Familiarity with both Windows and Linux environments.
~ Prior experience in application development, ideally SaaS and web-focused.
~ Strong grasp of software engineering and design principles (patterns, event-driven architecture, CAP theorem).
~ Bachelors degree in Computer Science or related field.
Exposure to monitoring and reporting tools such as Prometheus, Grafana, ELK stack.