Principal Core Engineer — Infra / SRE

In your first 3 months, you will have:

Taken full ownership of a platform-wide reliability, upgradeability, or incident reduction initiative and delivered measurable improvements in fleet stability, deployment safety, and operational clarity.

Established or strengthened production standards that reduce risk and improve consistency across releases and fleet operations.

Demonstrated strong incident ownership by leading at least one high-severity investigation through root cause and durable remediation.

In your first year, you will be:

Owning the fleet-scale operational architecture end-to-end, with clear accountability for reliability, upgradeability, scalability, and security posture across thousands of deployed systems.

Delivering step-function improvements in platform resilience and operational excellence through durable systems (automated lifecycle management, observability, incident reduction, reliability standards).

Raising engineering rigor across the organization by enforcing standards, mentoring technical leaders, and driving cross-domain architectural decisions that compound over time.

10+ years building and operating production infrastructure and distributed systems, including reliability engineering at scale across complex, multi-tenant or fleet environments.

Deep experience with SRE practices: SLOs/SLIs, error budgets, observability, incident response, postmortems, and operational automation (e.g., Kubernetes-based platforms, Linux systems, and automation through infrastructure-as-code).

Strong systems thinking across software, infrastructure, networking, and security, with the ability to drive outcomes across multiple domains and enforce production standards.

Proven ability to lead ambiguous, high-impact initiatives end-to-end with strong technical judgment, crisp execution, and disciplined change management.

Clear communicator and trusted technical partner to engineering leadership, with the ability to lead high-severity incident response and drive cross-team alignment.

Ownership mindset: outcomes over tasks.

Designing and operating fleet management and upgrade systems at scale, including safe rollout/rollback, configuration management, and health monitoring (e.g., canary deployments, staged rollouts, and verifiable rollback mechanisms).

Building observability platforms that make complex systems diagnosable and measurable across large distributed deployments (e.g., metrics/logs/tracing pipelines, alerting, and dashboards that drive action).

Security-first operations experience (secure boot, signed updates, audit logging, default-deny posture) and working in compliance-sensitive environments with governed production changes.

Experience operating systems under real-world edge constraints (limited connectivity, bandwidth limits, variable environments, high reliability requirements) and building automation that reduces operational variance.

Applying AI to operations and engineering workflows (automated diagnostics, agentic triage, runbook generation, anomaly detection) to increase rigor and speed while keeping production pathways reviewed and auditable.

At Edgescale AI, we’re deploying AI in the real world—helping customers apply this technology to unlock transformative productivity gains. Our work sits at the intersection of infrastructure, security, networking, and AI, where reliability and performance are non-negotiable and where solutions demand deep, distributed systems thinking.

We’re intensely AI-native. We build with AI, we ship AI, and we use it every day to accelerate how we design, test, deploy, and operate complex systems. If you want to help pave the application of AI in the real world, at global scale, we want to hear from you.

Edgescale AI is building an inclusive, merit-based organization. We are an equal opportunity employer and do not discriminate on any legally protected status. We value diversity, inclusion, and a shared passion for creating real-world impact.