OfficeSpace Software is hiring a Senior Site Reliability Engineer

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 decisions, right-sizing, and intelligent scaling strategies. Build and supervise automation for infrastructure provisioning, configuration management, and observability. Set clear operational standards for reliability, performance, and incident response—and raise the bar for how we run production. What You Bring: 7+ years operating and evolving large-scale production systems. Deep Linux systems expertise with hands-on performance tuning across CPU, memory, disk, and networking. Strong Python skills for automation, tooling, and AI-assisted systems workflows. Production experience with Ruby/Rails ecosystems, including Puma and Sidekiq. Proven ability to diagnose and resolve complex database performance issues (MySQL/MariaDB or PostgreSQL). Advanced Kubernetes experience—workload sizing, scheduling, and multi-tenant operations. Infrastructure-as-code mastery using Terraform and Terragrunt. Experience with configuration management tools such as Puppet or Ansible. Strong observability instincts across metrics, logs, and traces using tools like Prometheus, Grafana, Datadog, or ELK. AI fluency—comfortable supervising AI agents for analysis, testing, and reporting, and validating their outputs. A builder mindset. You move fast, take ownership, and raise standards. Preferred Background: Scaling and refactoring monolithic applications under real production load Extracting databases or stateful components from monoliths Apache and Nginx tuning at scale Redis performance optimization and operational management CI/CD systems and GitOps workflows, including ArgoCD Cloud cost optimization and FinOps-aligned operational practices