PagerDuty

Staff Software Engineer V - PagerDuty Automation

United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Digital Operations Management, SaaSIndustries

About PagerDuty

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Half of the Fortune 500 and nearly 70% of the Fortune 100 trust PagerDuty as essential infrastructure.

Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world—all in a flexible, award-winning workplace.

About the Role

PagerDuty is seeking a Staff Software Engineer V - PagerDuty Automation to join our diverse, customer-focused team! As Staff Software Engineer V, you will work across two teams on all things automation for PagerDuty. This is an exciting opportunity to drive automation architecture across the enterprise. The ideal candidate will have a strong background in Java, AWS, Kubernetes, and SaaS experience in large scale environments.

PagerDuty Workflow Automation enables enterprise teams to automate end-to-end incident response and operational workflows, significantly enhancing reliability, reducing incident response times, and driving operational excellence. This product integrates seamlessly across the PagerDuty platform and external systems, empowering teams to rapidly manage complex workflows at scale and proactively address issues before they impact customers.

Key Responsibilities

  • Define and lead the technical vision, architecture, and strategic direction for PagerDuty Workflow Automation, driving cross-domain initiatives and aligning them with company-wide strategic goals.
  • Architect and deliver complex technical solutions spanning multiple engineering teams, ensuring scalability, reliability, maintainability, and performance.
  • Collaborate closely with engineering management, product leadership, and cross-functional stakeholders to proactively identify critical technology investments required for long-term growth.
  • Act as a recognized technical leader and subject matter expert in SaaS development, workflow automation systems, and cloud-native architectures (AWS), proactively mentoring senior engineers and fostering a culture of technical excellence.
  • Own the end-to-end lifecycle of technology initiatives—from inception and prototyping to implementation and long-term operational excellence—providing technical oversight and strategic guidance.
  • Drive continuous improvement in engineering practices, processes, and tools, enhancing team productivity, system reliability, and overall customer experience.

Basic Qualifications

  • Minimum of 12 years of professional software development experience with substantial experience in a technical leadership role, driving large-scale projects across multiple teams.
  • Must have experience working with large systems or event-driven platforms at enterprise-scale.
  • Demonstrated expertise designing, implementing, and operating scalable SaaS solutions leveraging Java, Node.js, TypeScript, RESTful APIs, microservices architecture, and AWS cloud services (ECS/EKS, Lambda, DynamoDB, API Gateway).
  • Expert-level knowledge of DevOps methodologies including infrastructure-as-code (Terraform/CloudFormation), CI/CD tooling (GitHub Actions/Jenkins), observability monitoring (Datadog/Prometheus), and containerization/orchestration (Docker/Kubernetes).
  • Proven track record of successfully delivering strategic cross-domain technical initiatives that align with broader business objectives.
  • Extensive experience influencing engineering direction across teams, setting technical roadmaps, and providing mentorship for senior engineers.
  • Ability and willingness to participate in PagerDuty's on-call rotation as a leader of mission-critical systems.

Preferred Qualifications

  • Deep expertise in building complex workflow automation systems or event-driven platforms at enterprise scale.
  • Experience defining system-level Service Level Objectives (SLOs), performance metrics, and operational excellence standards across large-scale systems.
  • Recognized thought leadership within the industry, including presentations at conferences or contributions to open-source projects.

Skills

Java
AWS
Kubernetes
SaaS
Workflow Automation
Cloud-Native Architectures
Digital Operations Management
Incident Response
Scalability
Reliability
Maintainability
Performance

PagerDuty

Incident management and response platform

About PagerDuty

PagerDuty specializes in incident management and response, providing a platform that helps organizations quickly address IT issues to minimize operational disruptions. The platform integrates with various monitoring tools to detect incidents in real-time, alerting the right personnel for swift action. This process aids in reducing downtime and maintaining service quality across sectors like technology, finance, healthcare, and retail. PagerDuty operates on a subscription-based model, offering different pricing tiers based on user count and feature levels, which ensures a steady revenue stream. The company also provides premium support and professional services, enhancing its offerings. Overall, PagerDuty aims to help organizations efficiently manage and resolve IT incidents, ensuring the reliability of their digital services.

San Francisco, CaliforniaHeadquarters
2009Year Founded
$168.9MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
1,001-5,000Employees

Benefits

Health, AD&D, Disability, Vision, Life, and Dental Insurance
Paternity and Maternity Leave
Employee Assistance Program
PTO (Vacation / Personal Days)
Sick Time
Remote Work
Adoption Assistance
401(k)
Employee Stock Purchase Program
Flexible Spending Account
Student Loan Repayment Plan

Risks

Emerging AIOps platforms may erode PagerDuty's market share.
Economic downturns could affect subscription renewals and acquisitions.
Reliance on third-party integrations poses risks if partners change APIs.

Differentiation

PagerDuty integrates seamlessly with popular tools like Microsoft Teams and Slack.
Recognized as a leader in GigaOm's 2024 Radar for AIOps.
Subscription-based model ensures steady recurring revenue from diverse industries.

Upsides

Enhanced chat collaboration attracts more enterprise clients relying on Microsoft Teams and Slack.
Strategic focus on public sector and Americas sales expands market reach.
Investments by Intech and Quantbot indicate confidence in growth potential.

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