Senior Site Reliability Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Site Reliability Engineer United States About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You're a great fit for the role if you're entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. Role Summary: You own the performance, reliability, and cost efficiency of OfficeSpace's production platform at scale. As a Senior Site Reliability Engineer, you shape how our systems run-fast, resilient, and predictable-while leading the shift from manual operations to AI-assisted reliability engineering. We provide the platform. You make it perform. What You'll Do: - Drive measurable improvements in latency, throughput, and availability across a large-scale production environment. - Own system performance-from Linux internals to Kubernetes scheduling-and eliminate bottlenecks before customers feel them. - Define and enforce SLIs, SLOs, and error budgets that balance speed, reliability, and growth. - Partner with application engineers to profile code paths, improve execution efficiency, and harden services under real load. - Lead database performance optimization across queries, indexing, replication, and workload isolation. - Design and oversee AI-assisted load testing, stress testing, and capacity planning workflows. - Guide the migration from monolithic deployments to multi-tenant Kubernetes platforms. - Reduce infrastructure spend through architectural

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