Source description
About the role
What you’ll be doing
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• 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
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• 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
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• Continuously improve Kubernetes platform stability and efficiency, with a focus on optimising resource utilisation, reducing costs, and streamlining environment provisioning through GitOps-first practices
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• Monitor and maintain cloud infrastructure through autoscaling, alerting pipelines, and Grafana dashboards covering metrics, logs, traces, and real user monitoring (RUM)
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• Own weekend on-call operations, triaging and responding to production incidents, performing root cause analysis, and driving post-incident reviews
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• Design and manage alert pipelines to ensure actionable signal quality, with attention to preventing alert fatigue, waterfall alerting, and notification flooding
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• Define and maintain SLIs and SLOs for critical services, and use them to drive reliability improvements and on-call prioritisation
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• Take ownership and responsibility for our cloud operation activities
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• Liaise with external security agencies for annual audits as well as perform our own internal security sweeps
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• Aid in reconfiguring existing architecture to allow for rapid deployments to new countries
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• Mentoring less experienced team members
What you’ll bring
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• 3+ years DevOps / platform engineering experience
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• Must be based in Europe or Asia or LatAM
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• Experience independently leading the planning and deployment of a project
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• Experienced with cloud platforms, especially AWS, including solid knowledge of how to utilise cloud resources to fulfil the demand from other teams and production
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• Strong understanding of Kubernetes and container orchestration, with experience in EKS and GitOps tooling such as ArgoCD and Helm being highly valued
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• Experience with Infrastructure-as-Code, particularly Terraform
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• Proficiency in scripting and automation with Bash, Python, or Golang; experience with Rust is a plus
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• Hands-on experience with observability stacks covering metrics, logs, distributed traces, and profiling, for example Prometheus, Loki, Tempo, Pyroscope, and OpenTelemetry
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• Experience with real user monitoring (RUM), with familiarity in Grafana Faro or OpenTelemetry SDK instrumentation being a plus
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• Proven on-call and incident response experience, comfortable triaging production issues under pressure, leading post-mortems, and driving follow-up actions
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• Ability to design and maintain alert frameworks that minimise noise, prevent alert fatigue, and avoid waterfall alerting patterns
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• Experience defining SLIs and SLOs and using them to inform reliability work
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• Familiarity with service mesh concepts is a plus, as we are actively evaluating Cilium-based service mesh in non-production environments
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• Solid networking knowledge, especially the TCP / IP stack and HTTP protocol
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• Experience handling high HTTP request volumes and designing systems for high availability and high traffic environments
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• A strong understanding of cache, including CDN, HTTP cache, Redis / Memcached
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• Excellent troubleshooting skills, including Linux OS issue diagnosis and OS parameter optimisation, JVM optimisation would be highly advantageous
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Our stack
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• Languages: Java / Spring Boot, Node.js, Python, JavaScript
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• Database: Aurora MySQL & PostgreSQL, MongoDB, MySQL Community
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• Cache: ElastiCache, Redis, Valkey
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• Messaging: Apache RocketMQ, AutoMQ, Kafka
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• Networking & Proxy: Nginx, Kong, Cilium, eBPF
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• Orchestration & GitOps: Docker, Kubernetes (EKS), ArgoCD, Helm
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• Computing & Storage: AWS EC2, VPC, AWS Lambda, EBS, S3
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• CI/CD: Jenkins, GitHub Actions
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• Metrics: Prometheus, Mimir, Grafana, Alertmanager
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• Logs: Loki, Vector
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• Traces: Tempo, OpenTelemetry, Alloy
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• Profiling: Pyroscope
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• RUM: Grafana Faro, OpenTelemetry SDK
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• Infrastructure as Code: Terraform
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• CDN & Edge: Cloudflare, AWS CloudFront
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• AWS CloudWatch
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What’s in it for you
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• Sporty is a remote first company in pursuit of sustainability
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• A competitive salary + individual performance based bonuses every quarter
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• 28 days paid annual leave
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• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
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• Referral bonuses & flash bonuses
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• Top of the line equipment
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• Annual company retreats to provide great internal networking opportunities
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Interview process
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• Remote video screening with our Talent Acquisition Team
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• Online assessment via Hackerrank
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• Remote video interview with 3 x Team Members (45 mins each, not separate days)
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If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
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#LI-remote
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