Job
Description
What You'll Do As a member of our Reliability Engineering Product SRE team, you will build production applications with excellent MVRs and SMMs , ensuring customer satisfaction through your expertise in SRE domain skills . We are looking for someone who is passionate about automation, efficiency, and . You will use a bundled tech stack to provide deep visibility into customer, product, and infrastructure interactions. You will have for SLOs, SLIs, Service level agreements , and the golden metrics that move reliability. You will programmatically approach MVRs using coding and scripting languages , while also applying AI/ML-driven insights where applicable. What Your Responsibilities Will Be Build products with MVRs and reliability standards , ensuring system resilience and scalability. Operate observability tools across multiple cloud providers, incorporating AI-powered anomaly detection to enhance monitoring. Assist development teams in defining SLO/SLI dashboards and alerts , optimizing alerting signals with ML-based noise reduction techniques . Use Go, Python, or Terraform to automate operational tasks and build self-healing mechanisms. Administer Grafana, Prometheus, Loki, and other observability tools , integrating predictive analytics where beneficial. Troubleshoot and support production environments , using AI-assisted diagnostics where applicable for faster cause identification. Automate incident response workflows, applying AIOps to reduce manual toil and improve MTTR. What You'll Need to be Successful 5 years' experience in a SaaS environment . Bachelor's degree or equivalent experience. Participate in an on-call rotation . Experience with networking (OSI model, TCP/IP, DNS), in cloud environments . Experience with Linux administration, security hardening, and performance tuning . Experience with troubleshooting distributed software failures. Experience with observability principles , including log analysis, tracing, and metrics correlation . Background in infrastructure as code (Terraform, Pulumi) and container orchestration (Kubernetes, ECS, Nomad) . Interest in AI-powered automation , including AIOps tools, ML-based alert tuning, and predictive maintenance . Experience with Observability tools like Prometheus,grafana or OpenTelemetry with ML-based anomaly detection . Excellent technical writing skills for documenting architectures, processes, and automation workflows.
