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PagerDuty

Real-time incident management and on-call platform

Forward Deployed Engineer - Software Development

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 8 years of experience building and shipping production software across team boundaries, assessed against Staff Engineer / SDE V expectations.
  • Hands-on production experience with large language models and agent systems, including agent development, tool-use frameworks such as MCP or equivalent, evaluation pipelines, and guardrail design.
  • Ability to run technical design sessions with customer engineers and present business cases to customer leadership.
  • Ability to work from vague problem statements in unfamiliar environments and deliver working software with limited direction.
  • A record of shipping adopted software and sound judgment about which customer requests generalize and when not to build.
  • Demonstrated expertise with Terraform or Pulumi at scale, GitOps such as ArgoCD or equivalent, CI/CD pipeline design, and progressive delivery patterns including canary, blue/green, and soak periods.
  • Willingness to travel 25–50% during active customer engagements.

Responsibilities

  • Work onsite and in regular contact with 2–4 strategic customer teams to deploy the SRE Agent, configure tools and connectors, and embed AI actions across their incident management lifecycle to drive adoption and value.
  • Scope, design, and build reusable agent tools, connectors, and skills on the agent’s extensibility surfaces, shipping them through the product team’s repositories, review process, and evaluation gates.
  • Stand up new agentic capabilities with strategic accounts, gather evaluation data, identify technical blockers such as permissions, telemetry, and missing connectors, and build production fixes directly into the product.
  • Connect the SRE Agent to infrastructure-as-code tools such as Terraform and Pulumi, GitOps tools such as ArgoCD, CI/CD pipelines, and observability platforms; guide customers safely from AI-assisted to autonomous operations.
  • Define 3–6 month technical roadmaps across assigned accounts, provide architectural guidance to product managers and engineering managers, and bring customer friction and evaluation data back to the core team.

Desired Qualifications

  • Practical operational knowledge of incident management and observability concepts, including on-call, postmortems, service-level objectives and indicators, and alerting.
  • Customer-facing technical consulting, forward-deployed engineering, or solutions architecture experience in addition to a core software engineering background.
  • Background as a founder or founding engineer accustomed to navigating high ambiguity and driving unscripted problem-solving.
  • Experience with policy-as-code, fine-grained permissioning, or safety guardrail patterns for agent-driven automation.
  • Production experience with PagerDuty or competing digital operations and incident management platforms.
  • Active open-source contributions to the AI agent or Model Context Protocol ecosystem.

About the Company

PagerDuty

Real-time incident management and on-call platform

What PagerDuty does: PagerDuty provides an incident management platform that helps organizations detect and resolve IT issues quickly to minimize disruption. How its product works: It integrates with monitoring tools and IT systems to detect incidents in real time, then sends alerts to the right people, enforces on-call rotations, and guides incident resolution through automated workflows and escalations. How it differentiates from competitors: It focuses on on-call management and real-time incident response across many integrations, offering a scalable, subscription-based platform with configurable alerting, escalation policies, and professional services to support faster recovery. What the company's goal is: To reduce downtime and maintain the reliability and performance of digital services for organizations across industries by providing reliable, scalable incident management.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2009

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