Senior Site Reliability Engineer

At Build Ops, 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 Dev Ops and SRE Manager, this is a hands-on 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
* Drive and refine modern SRE practices across services, including SLIs/SLOs, error budgets, and reliability reviews
* Design and maintain end-to-end observability (metrics, logs, traces, dashboards, and alerts) so teams can quickly detect, debug, and prevent issues
* Partner with product and engineering teams to design reliable services-reviewing architectures, failure modes, rollout strategies, and capacity/latency considerations
* Help evolve and operate our AWS infrastructure (networking, compute, data stores) using Infrastructure as Code (Terraform)
* Contribute code to services, tooling, and automation (for example, reliability libraries, deployment and incident tooling, health checks)
* 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 incident response for infrastructure-related production 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
* Advocate for and implement security and compliance best practices in production environments
* Document standards, playbooks, and best practices so reliability improvements scale across teams
* Collaborate closely with software engineers, product managers, and other stakeholders to plan and deliver reliability-focused initiatives What We Look For
* 5+ years of professional experience in Site Reliability Engineering, Dev Ops, Infrastructure Engineering, or production-focused Software Engineering, 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 Thorough understanding of, and hands-on experience with, modern SRE practices, such as: *

Defining and implementing SLIs/SLOs and error budgets
* Reducing toil through automation
* Safe deployment and rollout patterns
* Structured post-incident reviews and continuous improvement
* Software engineering experience: you've written and maintained production-quality code and can work comfortably in at least one modern language (for example, Python or Node.js/Type Script)
* Strong interest in, and experience with, using LLMs and AI-assisted tooling in your workflow, including the ability to validate and improve what they generate Strong observability skills, including: *

• 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 such as Datadog, Prometheus, Grafana, Honeycomb, or New Relic (we use Datadog, but vendor-agnostic experience is welcome)
  * Experience working with AWS in production and with core platform primitives such as Terraform-based Infrastructure as Code and container/orchestration platforms (for example, Docker with ECS, EKS, or Kubernetes)…