Responsibilities
Own the application-level infrastructure: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations
Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling
Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation
Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation
Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain
Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks
Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts
Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads
Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change
Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems
- Participate in the SRE duty rotation, supporting developers across the company
- Qualifications & Skills
- 3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services
Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP)
Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes)
Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry
Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams
GCP experience (IAM, networking, managed services)
Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions)
Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash)
Practical experience with incident response, post-mortems, and driving reliability improvements from incidents
Strong collaboration and communication skills — this role works embedded with product development teams daily
Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems
Nice to Have
Kubernetes certifications
Google Cloud Platform certifications
HashiCorp certifications
