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 develop our teams to who sits in the boardroom, we hope you
can see yourself at PagerDuty.

Why We Need You:
We’re looking for a Senior Data Engineer who can collaborate with upstream and downstream
teams (including data scientists and ML engineers) to empower our AIOPs, ML and other
projects. If you are technical, creative, future-focused, and excited about fostering an
environment amongst our engineers that helps create avenues for success and learning, then
this is an excellent opportunity for you.

Key Responsibilities

• Drive and define standards for data and software engineering across your
  team
• Collaborate with data scientists and ML engineers to accelerate the production
  of machine learning (ML) based solutions
•  Provide guidance, technical leadership, and mentoring to other members of
  the team
• Proactively recommend improvements and new approaches addressing
  potential systemic pain points and technical debt
• Be curious and innovative to drive initiatives ensuring timely and continuous
  delivery

Minimum Requirements

• You have 6+ years of experience building, designing, and evolving data
  architecture for large scale systems
• Experience in working in DevOps environment using modern CICD best
  practices
• Experience working with Product teams ensuring a timely delivery
• Have a deep understanding of the trade-offs to be considered when designing
  and delivering data platform
• Demonstrated experience with data modeling, database design, ETL/ELT
  processes, working with unstructured data, and cloud-based data
  infrastructure
• Awareness of and experience with ML processes, technologies, and
  infrastructure

Preferred Requirements

• Experience with AWS
• Experience with real time streaming design
• Experience with building API first systems
• Coaching and mentoring more junior engineers