周末系统可靠性工程师

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 Faro, OpenTelemetry SDK

• Infrastructure as Code: Terraform

• CDN & Edge: Cloudflare, AWS CloudFront

• AWS CloudWatch

What’s in it for you

• Sporty is a remote first company in pursuit of sustainability

• A competitive salary + individual performance based bonuses every quarter

• 28 days paid annual leave

• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this

• Referral bonuses & flash bonuses

• Top of the line equipment

• Annual company retreats to provide great internal networking opportunities

Interview process

• Remote video screening with our Talent Acquisition Team

• Online assessment via Hackerrank

• Remote video interview with 3 x Team Members (45 mins each, not separate days)

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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