Senior Site Reliability Engineer, Observability

Job not on LinkedIn

11 hours ago

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Logo of NVIDIA

NVIDIA

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Architecting and operating large-scale observability systems that span global regions and support AI, data, and platform services. • Designing resilient pipelines for metrics, logs, traces, profiling, and events that keep critical systems visible and debuggable. • Working closely with platform, infrastructure, and application teams to establish telemetry standards, instrumentation patterns, and integration workflows. • Automating deployments, scaling workflows, and maintenance tasks to cut down toil and level up operational maturity across the stack. • Defining and maintaining SLOs, SLIs, error budgets, dashboards, and alerting models that guide reliability decisions company-wide. • Building self-service tooling and frameworks that make observability easy to adopt for engineers across NVIDIA. • Studying real system behavior to uncover bottlenecks, scaling limits, failure modes, and long-term architecture risks. • Running day-to-day operations including upgrades, performance tuning, break/fix, and rotations that keep the platform healthy. • Leading incident response and root-cause investigations, then driving the follow-through to eliminate repeat failures. • Guiding engineers through design reviews, operational best practices, and reliability-focused decision making.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. • 10+ years operating large-scale production systems in roles such as SRE, Production Engineer, or Platform Engineer and 5+ years designing, building, and running observability platforms at scale. • Deep hands-on experience with open-source observability stacks, including Prometheus/Thanos/Mimir for metrics, Loki or Elasticsearch/OpenSearch for logs, and Tempo/Jaeger/OpenTelemetry for tracing and profiling. • Strong programming ability in Python and Go, with Java experience considered a plus. • Solid grounding in Linux internals, networking, storage systems, distributed systems, concurrency, and performance engineering. • Experience architecting multi-region, multi-tenant telemetry pipelines with high availability and strong durability guarantees. • Proven skill in optimizing PromQL, LogQL, trace queries, ingestion paths, indexing strategies, and retention policies. • Strong understanding of SLOs, SLIs, error budgets, incident response, and the operational processes that support reliable systems. • Ability to analyze complex distributed systems, pinpoint failure modes, and drive data-informed debugging and root cause analysis. • Clear communicator who can collaborate effectively across product, platform, infrastructure, and application engineering teams.

🏖️ Benefits

• equity • benefits

Apply Now

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