Job Opportunities API

What you’ll be doing Work with a team of DevOps and DBA professionals; covering Saturday, Sunday and Monday (5 days in total with flexibility in your days off) as a Weekend SRE Improve existing infrastructure and processes across the countries we’re deployed in, as well as streamlining processes to deploy to new countries in the future Continuously improve Kubernetes platform stability and efficiency, with a focus on optimising resource utilisation, reducing costs, and streamlining environment provisioning through GitOps-first practices Monitor and maintain cloud infrastructure through autoscaling, alerting pipelines, and Grafana dashboards covering metrics, logs, traces, and real user monitoring (RUM) Own weekend on-call operations, triaging and responding to production incidents, performing root cause analysis, and driving post-incident reviews Design and manage alert pipelines to ensure actionable signal quality, with attention to preventing alert fatigue, waterfall alerting, and notification flooding Define and maintain SLIs and SLOs for critical services, and use them to drive reliability improvements and on-call prioritisation Take ownership and responsibility for our cloud operation activities Liaise with external security agencies for annual audits as well as perform our own internal security sweeps Aid in reconfiguring existing architecture to allow for rapid deployments to new countries Mentoring less experienced team members What you’ll bring 3+ years DevOps / platform engineering experience Must be based in Europe or Asia or LatAM Experience independently leading the planning and deployment of a project Experienced with cloud platforms, especially AWS, including solid knowledge of how to utilise cloud resources to fulfil the demand from other teams and production Strong understanding of Kubernetes and container orchestration, with experience in EKS and GitOps tooling such as ArgoCD and Helm being highly valued Experience with Infrastructure-as-Code, particularly Terraform Proficiency in scripting and automation with Bash, Python, or Golang; experience with Rust is a plus Hands-on experience with observability stacks covering metrics, logs, distributed traces, and profiling, for example Prometheus, Loki, Tempo, Pyroscope, and OpenTelemetry Experience with real user monitoring (RUM), with familiarity in Grafana Faro or OpenTelemetry SDK instrumentation being a plus Proven on-call and incident response experience, comfortable triaging production issues under pressure, leading post-mortems, and driving follow-up actions Ability to design and maintain alert frameworks that minimise noise, prevent alert fatigue, and avoid waterfall alerting patterns Experience defining SLIs and SLOs and using them to inform reliability work Familiarity with service mesh concepts is a plus, as we are actively evaluating Cilium-based service mesh in non-production environments Solid networking knowledge, especially the TCP / IP stack and HTTP protocol Experience handling high HTTP request volumes and designing systems for high availability and high traffic environments A strong understanding of cache, including CDN, HTTP cache, Redis / Memcached Excellent troubleshooting skills, including Linux OS issue diagnosis and OS parameter optimisation, JVM optimisation would be highly advantageous Our stack Languages: Java / Spring Boot, Node.js, Python, JavaScript Database: Aurora MySQL & PostgreSQL, MongoDB, MySQL Community Cache: ElastiCache, Redis, Valkey Messaging: Apache RocketMQ, AutoMQ, Kafka Networking & Proxy: Nginx, Kong, Cilium, eBPF Orchestration & GitOps: Docker, Kubernetes (EKS), ArgoCD, Helm Computing & Storage: AWS EC2, VPC, AWS Lambda, EBS, S3 CI/CD: Jenkins, GitHub Actions Metrics: Prometheus, Mimir, Grafana, Alertmanager Logs: Loki, Vector Traces: Tempo, OpenTelemetry, Alloy Profiling: Pyroscope RUM: Grafana