[Hiring] Senior Site Reliability Engineer @Map Ssg

Role Description

This is not a traditional infrastructure-only SRE position. You’ll join a small, senior platform/SRE team responsible for the systems that enable the broader engineering organization to build, test, deploy, observe, and operate an AI-native production platform. The team owns areas including:

• CI/CD and developer experience
• Platform engineering and reliability
• Developer tooling and paved paths
• Observability and incident management
• Kubernetes and cloud infrastructure
• Cloud cost visibility and optimization
• AI-agent harness engineering
• Sandboxes, guardrails, validation, and agent-first development workflows

The hiring manager is particularly interested in engineers with strong DevEx, CI/CD, platform engineering, or SRE backgrounds rather than candidates whose experience is primarily compute, networking, data centers, or traditional infrastructure administration.

Qualifications

• 6+ years of experience in SRE, platform engineering, DevEx, developer infrastructure, or related software-development enablement roles.
• Strong experience owning CI/CD platforms end to end, rather than simply maintaining existing pipelines.
• Experience with CI/CD concepts such as caching, architecture, build/test optimization, deployment ergonomics, and developer self-service.
• Strong enough software engineering fundamentals to succeed in a coding-oriented technical interview.
• Working familiarity with TypeScript / Node.js, Python, Terraform, Kubernetes / Helm.
• Practical observability experience across logs, metrics, tracing, monitoring, alerting, and incident management.
• Experience working successfully on distributed or fully remote engineering teams.
• Understanding of how modern LLMs and AI development tools work.
• Hands-on use of tools such as Claude, Cursor, Copilot, or similar—and the judgment to know when AI-generated output should not be trusted without deeper evaluation.

Requirements

• The environment currently includes TypeScript, Node.js, Python, Kubernetes, Helm, GCP, GitLab CI, Terraform, Datadog, Prometheus, and Grafana.

Benefits

• Base salary: approximately $160,000-210,000 USD, depending on level and location, plus competitive equity.
• Compensation may vary for Canadian employees.
• Location: Fully remote within the United States or Canada, working primarily across U.S. time zones.

Company Description

We’re partnering with a well-funded Series B AI company building an enterprise platform at the intersection of voice AI, large language models, and real-time customer interactions. The company has raised more than $100M, supports large enterprise customers, and has been running AI agents in production for years—not simply adding AI to an existing product. The engineering organization is intentionally lean and senior. This is a 100% remote company across the U.S. and Canada, with engineers owning multiple initiatives and operating with significant autonomy.