Software Engineer - Core Product

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization.

PagerDuty is seeking a Full-Stack Software Engineer to join our diverse and customer-focused team!

In this role, you’ll be working on our scheduling platform which is a core piece of our business to help organizations distribute on-call responsibilities across their teams. This is an exciting opportunity as you’ll help us realize the long term vision for the product to build flexible and extensible scheduling capabilities powered by AI-native foundations. You’ll architect and build a suite of highly available services, scalable databases and reliable data streams while pioneering agentic development practices that leverage AI as a first-class engineering partner. You will also have plenty of opportunities to partner with the product and design teams on shaping new products and features for our customers. The ideal candidate will have full stack experience with Java, and React and be responsible for promoting engineering excellence principles with our design, dev, test and release cycles.

Why we need you

The Mobilization Team is looking for a passionate software engineer to help us build the future of Schedules for the Operations Cloud. As an engineer on the team, you’ll be working on our scheduling platform which is a core piece of our business to help organizations distribute on-call responsibilities across their teams. You’ll help us realize the long term vision for the product to build innovative, flexible and extensible scheduling capabilities by architecting and building AI-native foundations (a suite of highly available services, scalable databases and reliable data streams accessed via an agentic framework). You will also have plenty of opportunities to partner with the product and design teams on shaping new products and features for our customers. You’ll also be responsible for promoting engineering excellence principles with our AI-first design, dev, test and release cycles.

Key Responsibilities

• From day one, you’ll be designing, coding, testing and shipping backend applications or micro-services, APIs or front-end interfaces that ensure we deliver secure, highly reliable and scalable solutions to our customers.
• Since we own and operate what we build, you’ll collaborate closely with engineers across teams.
• With 20,000+ global customers and growing, you’ll be solving really interesting technical challenges while helping to scale our product to keep up with demand.
• Participating in your team’s on-call rotation, triaging and addressing production issues as they arise.

Basic Qualifications

• Minimum of 4 years of experience designing, building, and operating large systems with scalability, availability, and performance requirements.
• Development experience working on customer-facing and web-based systems.
• Demonstrated experience with Java/ Python, React, AI coding tools
• You have built or worked on a customer-facing product

Preferred Qualifications

• You have operational experience in a cloud technologies such as AWS
• You have operational experience with databases & tools (e.g. MySQL, Aurora, Kafka, NoSQL, applying software engineering principles to data problems, etc.)
• Experience building user-facing public APIs
• You’ve had experience designing & implementing distributed and highly available systems

The base salary range for this position is 115,000 - 165,000 CAD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

**This role is expected to come into our Toronto office 2 days a week, so you can thrive in your new role and fully embrace being a Dutonian!**

Hesitant to apply?

We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts!

Where we work

PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in:

Location restrictions:
Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia
Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon
United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming
Candidates must reside in an eligible location, which vary by role.

How we work