Staff Site reliability engineer

WRITER•New York, NY

22h•Hybrid

About The Position

At WRITER, our mission to expand human capacity with super intelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As a site reliability engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need. This is a hybrid position, based out of our New York City hub. You'll report to our director of engineering.

Requirements

A solid 7+ years of experience in Site reliability engineering, DevOps, Production engineering, Cloud platform or a similar role focused on building and operating large-scale, high-availability production systems
Deep expertise with cloud platforms (AWS strongly preferred), containerization technologies like Docker and Kubernetes, and Infrastructure-as-Code tools such as Terraform
Strong proficiency in programming languages such as Python, Java, Go for automation and monitoring
Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to maintain system health and performance
Demonstrated ability to Challenge the status quo, proactively identify systemic weaknesses, and propose innovative solutions to complex reliability problems
Excellent communication, collaboration, and problem-solving skills, with a talent for building strong relationships and Connecting with cross-functional teams
A strong sense of ownership and accountability, eager to Own mission-critical systems and drive them toward peak performance and unparalleled reliability

Responsibilities

Use and build AI native approaches for operational tasks and infrastructure management and platforms using Python, Go, or similar languages, significantly reducing manual toil across our production environment
Design and implement scalable, fault-tolerant infrastructure AI solutions on public cloud providers (AWS, GCP, Azure) to support WRITER's rapidly expanding, high-traffic AI platform
Own the reliability, performance, and efficiency of WRITER’s core services, defining and upholding stringent Service Level Objectives (SLOs) and Error Budgets
Own the observability stack for monitoring, logging, and alerting systems to ensure rapid detection of issues across our complex distributed systems
Lead incident response, post-mortems, and root cause analyses, applying learnings to proactively prevent future outages and build a more resilient system architecture
Collaborate closely with product and engineering teams, providing expert guidance on system design for reliability, performance, and scalability from conception through launch