Forward Deployed Engineer (SDEV)

PagerDuty•San Francisco, CA
•$145,000 - $218,900•Hybrid

About The Position

PagerDuty is seeking a Forward Deployed Engineer for its customer-focused SRE Agent team. The engineer will work with PagerDuty’s largest customer accounts to connect the SRE Agent to production environments—including observability tools, infrastructure-as-code systems, GitOps tooling, and CI/CD pipelines—and guide teams from AI-assisted incident response toward supervised and autonomous actions with safety guardrails. The role also contributes code to the core SRE Agent product by building reusable tools, connectors, and skills based on customer needs. The position combines product engineering, customer engagement, and technical strategy. The engineer will work with 2–4 strategic customer teams, lead deployments and pilots, resolve adoption blockers, and contribute production-ready capabilities through the product team’s repositories, review process, and evaluation gates. The role is expected to be based in PagerDuty’s San Francisco office or at a client site at least two days per week, with travel of 25–50% during active customer engagements.

Requirements

  • At least 8 years of experience building and shipping production software across team boundaries, assessed against PagerDuty Staff Engineer / SDE V expectations.
  • Hands-on experience with LLM and agent systems in production, including agent development, tool-use frameworks such as MCP or equivalent, evaluation pipelines, and guardrail design.
  • Customer-facing skills, including the ability to lead technical design sessions with customer engineers and present business cases to customer leadership.
  • Ability to work through ambiguity, move from a vague problem statement in an unfamiliar environment to working software, and operate with limited direction.
  • A record of shipping software that achieved adoption, with judgment to identify which customer requests generalize and when not to build.
  • Demonstrated experience 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.
  • Ability to work in the PagerDuty San Francisco office or at a client site at least 2 days per week.

Nice To Haves

  • Practical operational knowledge of incident management and observability, including on-call, postmortems, SLOs/SLIs, and alerting.
  • Customer-facing technical consulting, forward-deployed engineering, or solutions architecture experience in addition to a core software engineering background.
  • Founder or founding engineer experience 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 (MCP) ecosystem.

Responsibilities

  • Work with 2–4 strategic customer teams to deploy the SRE Agent, configure tools and connectors, and embed AI actions across incident management workflows to drive adoption and value.
  • Scope, design, and build reusable agent tools, connectors, and skills on the agent’s extensibility surfaces, and ship them through product repositories, review processes, and evaluation gates.
  • Run pilots of new agentic capabilities with strategic accounts, gather evaluation data, identify technical blockers, and build production fixes 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 from AI-assisted operations toward autonomous operations using safe deployment practices and guardrails.
  • Define 3–6 month technical roadmaps across assigned accounts and provide architectural guidance to product managers and engineering managers.
  • Bring customer friction and evaluation insights back to the core product team.

Benefits

  • Competitive salary
  • Comprehensive benefits package
  • Flexible work arrangements
  • Company equity
  • Employee Stock Purchase Program (ESPP)
  • Retirement or pension plan
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Companywide paid Dutonian Wellness Days and HibernationDuty days in addition to PTO
  • Paid parental leave: 22 weeks for pregnant parents and 12 weeks for non-pregnant parents, subject to local standards
  • 20 hours of paid volunteer time off per year
  • Company-wide hack weeks
  • Mental wellness programs
  • The role may also be eligible for bonus and/or commission
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service