LinkedIn · 1 week ago
Sr. Staff Software Engineer - Network Infrastructure Observability
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. The Senior Staff Software Engineer will serve as a technical leader driving the architecture, innovation, and execution of next-generation observability systems for LinkedIn's network infrastructure.
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Responsibilities
Lead the architectural design and implementation of large-scale observability platforms, including telemetry ingestion, real-time analytics, network health monitoring, and anomaly detection
Drive long-term strategy and roadmaps for network observability, ensuring alignment across infrastructure and network engineering teams
Build and optimize data pipelines and streaming platforms capable of handling high-volume telemetry from data centers, backbone, and edge networks
Partner with network domain experts to define meaningful SLIs/SLOs, improve network resiliency, and drive proactive detection of failures
Develop automation, self-healing workflows, and intelligent alerting mechanisms to reduce operational toil and increase network reliability
Collaborate with cross-functional engineering groups to ensure system interoperability, standardization, and seamless data exchange across infrastructure layers
Mentor and guide engineers across teams, setting best practices for system design, code quality, and operational excellence
Influence organizational strategy through technical leadership, design reviews, and cross-group technical forums
Drive adoption of modern technologies and architectural patterns to improve latency, scalability, and observability coverage
Qualification
Required
BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience
10+ years of experience building and operating large-scale distributed systems or data-intensive backend platforms
Experience with programming languages such as Go, Java, Python, C++, or similar
Experience with streaming systems (Kafka, Flink, Spark Streaming, or similar) and high-throughput data pipeline architectures
Experience with networking fundamentals: routing, switching, TCP/IP, network telemetry, SNMP, flow data, or similar
Proven ability to lead complex technical initiatives end-to-end in a multi-team environment
Background in system design skills with focus on scalability, reliability, and performance
Experience with container platforms (Kubernetes), and microservices
Preferred
Experience working in hyperscale or large distributed cloud environments
Background in building observability stacks (metrics, logs, traces) or network monitoring platforms
Familiarity with machine learning for anomaly detection or predictive analytics
Experience with infrastructure automation or configuration management tools
Experience with influencing across organizations (tech lead, architect, principal/IC leadership roles)
Benefits
Generous health and wellness programs
Annual performance bonus
Stock
Benefits and/or other applicable incentive compensation plans
Company
LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft.
H1B Sponsorship
LinkedIn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (892)
2024 (1108)
2023 (913)
2022 (1580)
2021 (1043)
2020 (1146)
Funding
Current Stage
Public CompanyTotal Funding
$154.8MKey Investors
Bain Capital VenturesGreylockSequoia Capital
2016-06-13Acquired
2016-02-15Private Equity
2014-04-01Series Unknown
Recent News
2026-01-10
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