Senior Data Engineer

Toronto

Full Time Senior level / Expert
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PagerDuty Inc.
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Posted 1 month ago

Together we’re building a company that will endure and products people will love for generations to come.
We believe that people do their best in a culture that fosters inclusion, innovation, and success. Our values - Champion the Customer, Take the Lead, Run Together, Ack + Own and Bring Yourself - serve as the foundation of our collaborative and dynamic culture.
Whether it’s conducting a retrospective, participating in our bi-annual hack weeks, cranking out a new product feature, supporting our two PagerDuty bands, or doing our day to day work, Dutonians live and breathe these five values every day. Together, we solve real customer issues and fulfill our mission of connecting teams to real-time opportunities and elevate work to the outcomes that matter.
We’re building an inclusive workplace that represents the real, everyday people we support around the world. From how we build our teams to who sits in the boardroom, we hope you can see yourself at PagerDuty.
We are looking for a Senior Machine Learning Engineer who is passionate about shaping the future of Data and Machine Learning infrastructure at PagerDuty.Our Data Ecosystem team’s mission is to transform Transform how PagerDuty creates new possibilities with data by leveraging ML and data-driven applications to support incident response, surface operational insights, and improve the lives of our on-call responders through human and machine intelligence.Our team is leading the way in developing data-driven services and ML workflows for our product development and Data Science Core teams.In your role, you will work with cross-functional teams of Engineers, Data Scientists, product owners, and experience designers, enabling teams across the organization to quickly develop and scale machine learning and data products.

Your Role

  • Build scalable, reliable infrastructure supporting the PagerDuty Data Scientists, Machine Learning and product development teams
  • Leverage and grow your expertise in new and existing technologies to support the evolution of our Data and ML Platform (Python, Elixir, Elasticsearch, AWS ecosystem, Glue, Spark, Terraform, Tensorflow)
  • Flex your collaboration and leadership skills by working closely with teams across the organization to help identify opportunities for ML impact, and educate and socialize internally ML platform tooling
  • Contribute to and drive best practices in Data Engineering and Machine Learning

Who You Are

  • Innovation driven.  You have experience with rapid iteration and prototyping, and have an agile mindset.
How We WorkPagerDuty Engineering teams are set up to be mini innovation pods. We practice what we preach, and believe that every engineer can build great products to delight our thousands of customers. 
Teams are set up to be able to achieve success autonomously while remaining accountable for results. Every team has full vertical ownership of their own services and are able to release as frequently as they want to. We practice the mantra of ‘Code It. Ship It. Own It.’ and believe that teams are most successful when they are able to own every decision in order to run their software. Every team gets to be a part of our growth by building highly resilient and durable software that scales from our startup customers to Fortune 100 companies. 
We deploy over 1000 times a month and every engineer is able to ship high quality software to production on their own. Teams own their own tests and yes, we use PagerDuty to manage incidents. Teams own their own way of working and can use the agile practices of their choice to work collaboratively via incremental delivery. 
We support engineers to explore ideas via bi annual hack weeks, actively attack our own infrastructure weekly to learn and get better, host an annual internal technical conference called PagerCon, ask our engineers to represent PagerDuty at industry events, and contribute to the open source community. 
Each team has a dedicated Engineering Manager, Product Owner, and agile coach to help support our people and teams to be successful. We believe that Management is a separate skill set and have different career paths for our engineers and managers including a full ‘stay technical’ career track.
PagerDuty offers: Competitive salaries and company equity Comprehensive benefits package including: medical, dental, and vision plans for you, your spouse and family, cell phone allowance and more!RSP with 1% employer matchGenerous parental leavePaid vacation (3 weeks vacation your first year, 4 weeks afterwards) in addition to 12 paid stat holidays and ample sick leavePaid employee Volunteer Time - 20 hours per yearBi-annual company wide hack weeksCatered lunch daily and plenty of snacks and drinksConvenient, central Toronto office location, easily accessible by public transportationOpportunities to get involved in PagerDuty's Employee Resource Groups (ERGs) and other diversity initiatives. ERGs are self-organized, employee-run communities focused on advancing a sense of belonging and inclusion for all - members, advocates, and allies.
PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. 
PagerDuty is for people. Meaning, we extend opportunities to a broad array of candidates, including those with diverse workplace experiences and backgrounds. Whether you're new to the corporate world, returning to work after a gap in employment, or simply looking to transition or take the next step in your career path, we are excited to connect with you.
PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process.  Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs.
Our stewardship of the data of many thousands of customers means that a background check is required to join PagerDuty. We will, nonetheless, consider for employment qualified applicants with arrest and conviction records in a manner consistent with local requirements.
PagerDuty uses the E-Verify employment verification program.
To all recruitment agencies: PagerDuty does not accept agency resumes. Please do not forward resumes to our jobs alias, PagerDuty employees or any other company location. PagerDuty is not responsible for any fees related to unsolicited resumes.
Job tags: AWS Engineering Machine Learning ML Open Source Python Spark TensorFlow
Job region(s): North America