Staff Site Reliability Engineer
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AlphaSenseMarket Intelligence
Remote - IndiaFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
- Required Skills
- AWSPythonGCPKubernetesAzureGoGrafanaPrometheusDatadog
Requirements
- 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role.
- At least 3+ years operating in a Senior+ SRE position.
- Strong background in running production SaaS systems at scale.
- Proficiency in at least one programming/scripting language (Python, Go, or similar).
- Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
- Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
- Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
- Familiarity with advanced observability (OTEL, continuous profiling).
- Proven incident management experience, including leading high-severity incidents and postmortems.
- Strong troubleshooting skills across the full stack.
- Excellent communication and collaboration skills.
Responsibilities
- Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
- Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
- Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
- Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
- Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
- Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.
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