Senior Site Reliability Engineer

Key Responsibilities

• Improve the availability, scalability, and performance of cloud-native applications through automation, monitoring, and engineering best practices.
• Build and evolve observability platforms using OpenTelemetry, Datadog, Coralogix, or similar tools. Establish standards for metrics, logs, traces, and service-level objectives (SLOs) that enable proactive issue detection and resolution.
• Lead production triage efforts, rapidly diagnosing and resolving service disruptions. Drive incident management, root cause analysis, and blameless post incident reviews to improve system resilience and reduce recurring issues.
• Partner with Engineering, Support and Product teams to embed reliability, observability, and operational excellence throughout the software development lifecycle.
• Champion a reliability-first engineering culture by establishing automation standards, monitoring best practices, shift-left quality approaches and shared ownership models that proactive improve resilience, reduce operational risk, and protect the availability of business-critical services.
• Collaborate with global engineering teams in a follow-the-sun support model, ensuring seamless 24x7 coverage, effective handoffs, and shared ownership of production services.
• Participate in an on-call rotation focused on maintaining service health, reducing operational toil, improving alert quality, and automating repetitive operational tasks.

Required Qualifications

• 5+ years of experience in Site Reliability Engineering, DevOps, platform engineering, or related roles, with a strong background in production triage, incident response, and operational excellence.
• Experience operating large-scale, customer-facing SaaS platforms with high availability and uptime requirements.
• Proficiency in Go, Python, Java, or similar programming languages, with demonstrated experience building automation, production tooling, and reliability-focused engineering solutions.
• Deep experience with modern Infrastructure-as-Code and GitOps technologies such as Terraform, OpenTofu, CDKTF, Pulumi, ArgoCD, Helm, and Kubernetes.
• Hands-on experience with OpenTelemetry, Datadog, Coralogix, or similar observability platforms.
• Strong knowledge of AWS services and Kubernetes in production environments.
• Deep understanding of monitoring, logging, and distributed tracing for complex systems.
• Ability to partner effectively with software engineering and testing teams to design reliable systems, improve application performance, and strengthen quality practices across the software development lifecycle.
• Comfortable with participating in on-call rotations and handling high-pressure environments.

Bonus Qualifications

• Experience with multiple cloud or cloud-agnostic environments.
• Familiarity with security, compliance, and governance frameworks.
• Experience with relational and distributed data technologies such as PostgreSQL, OpenSearch, Redis/ElastiCache, or Aurora.
• Experience with messaging and streaming platforms such as Kafka, ActiveMQ, SNS/SQS, or similar event-driven technologies.