Staff Site Reliability Engineer

At BuildOps, we’re building a software platform that empowers today’s commercial contractors. From service management to project execution, we’re reimagining how our customers operate. Our team thrives on ambition, innovation, and collaboration – qualities we look for in every new hire.

You will join our cloud infrastructure and reliability engineering team as a Site Reliability Engineer (SRE). Your primary responsibility will be to improve and protect the reliability, performance, and operability of our production systems while helping evolve our AWS-based infrastructure. We’re looking for someone with a strong SRE mindset, solid software engineering fundamentals, and deep observability expertise who can work effectively in a distributed team environment.

Reporting to the DevOps and SRE Manager, this is a hands-on, staff-level role where you will influence reliability strategy, build tooling and automation, and contribute directly to day-to-day operations in a fast-moving, industry-defining company.

What You’ll Do

• Own one or more reliability domains end-to-end (for example observability, incident management workflows, performance of key surfaces, or core platform readiness), including strategy, roadmap, and execution
• Drive and refine modern SRE practices across services, including SLIs/SLOs, error budgets, and reliability reviews
• Lead multi-sprint, multi-engineer reliability or performance initiatives, coordinating work across teams and driving them to successful completion
• Design and maintain end-to-end observability (metrics, logs, traces, dashboards, and alerts) so teams can quickly detect, debug, and prevent issues
• Act as a subject-matter expert in at least one reliability area (for example observability, incident management, performance engineering, or search/data platforms), helping other teams make good design and operational decisions
• Partner with product and engineering teams to design reliable services—reviewing architectures, failure modes, rollout strategies, and capacity/latency considerations—and influence system design toward reliability and performance goals
• Help evolve and operate our AWS infrastructure (networking, compute, data stores) in collaboration with infrastructure experts, working within Infrastructure as Code workflows
• Contribute code to services, tooling, and automation (for example reliability libraries, deployment and incident tooling, health checks), and use LLMs/AI tools to accelerate high-quality delivery
• Define, implement, and iterate on SLIs, SLOs, and error budgets with service owners, and use them to guide reliability work and release decisions
• Participate in production on-call rotations and incident response for high-severity issues, including learning-focused post-incident reviews and follow-through on action items
• Develop runbooks, safeguards, and automation that reduce manual work, improve time-to-diagnosis, and standardize responses to recurring scenarios
• Collaborate with engineering and product leadership to prioritize reliability, performance, and operability work alongside feature delivery
• Document standards, playbooks, and best practices so reliability improvements scale across teams
• Mentor other SREs and software engineers in reliability-minded design, observability, incident response, and pragmatic use of SRE practices
• Help build systems, automation, and team practices that reduce reliance on heroics and ad-hoc firefighting

What We Look For

• 8+ years of experience operating complex, user-facing SaaS systems and working on production systems and reliability-focused initiatives
• Proven experience leading multi-sprint, multi-engineer projects (for example reliability, performance, or infrastructure initiatives) to successful completion with clear business impact
• Experience leading at least one org-wide or multi-team reliability or performance initiative from definition through rollout and follow-through on improvements

Thorough understanding of, and hands-on experience with, modern SRE practices, such as:

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• Defining and implementing SLIs/SLOs and error budgets
• Reducing toil through automation
• Safe deployment and rollout patterns
• Structured post-incident reviews and continuous improvement
• Strong software engineering skills: you’ve written and maintained production-quality code and can work comfortably in at least one modern language (for example Python or Node.js/TypeScript)
• You regularly use LLMs and AI-assisted tooling in your workflow and know how to validate and improve what they generate
• Deep expertise in at least one reliability-related domain, such as observability, incident management, performance engineering, or large-scale data/search platforms

Strong observability skills, including:

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• Designing metrics, logging, and tracing for multi-service systems
• Building actionable dashboards and alerts with clear runbooks
• Correlating metrics, logs, and traces to debug complex issues
• Experience with tools s