Job Description

Overview:

Planview has one mission: to build the future of connected work, from ideas to impact.

As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry's most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100.

At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We're proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere.

Learn more about our portfolio at planview.com, and connect with us on LinkedIn, Instagram, and X.
#LI-CG1 #LI-Hybrid
Responsibilities:

In this influential role, you will

Learn and Contribute


Work on well-defined tasks and projects that build your foundational skills in cloud and data engineering. Implement features and fixes under the guidance of senior engineers, learning to write clean, testable code that meets team standards. As you grow, you will take on increasingly complex work with greater independence.Build Technical Foundations


Develop proficiency in our technology stack including AWS, data processing frameworks, and modern development tools. Learn how distributed systems work at scale and how to build software that is reliable, maintainable, and performant. Senior engineers will provide mentorship and code review to accelerate your growth.Collaborate and Communicate


Work closely with your teammates, asking questions and seeking feedback to accelerate your learning. Participate in team meetings, code reviews, and technical discussions. Communicate clearly about your progress, blockers, and what you're learning.Develop Production Awareness


Learn our "You Build It, You Run It" culture by participating in on-call rotations with support from experienced team members. Develop understanding of how production systems operate, how incidents are handled, and how monitoring and alerting help maintain platform reliability.
Qualifications:

Who We Are Looking For


You are early in your career and eager to grow as an engineer. You have foundational programming skills and genuine curiosity about cloud infrastructure and data systems. You learn quickly, ask good questions, and take feedback well. You take pride in your work and want to build things that matter.
You don't need to have all the answers -- you need to be motivated to find them. You're looking for an environment where you can learn from experienced engineers, contribute meaningfully from day one, and build toward a long-term career in data engineering.
Required Qualifications

1-2 years of professional software development experience

, or recent graduate with strong internship or co-op experience. Strong coding skills in at least one of

Java or Python

and willingness to develop proficiency in both. Basic understanding of

SQL

and relational databases. Foundational knowledge of

data structures and algorithms

. Familiarity with

version control (Git)

and basic software development practices. Exposure to

cloud platforms (AWS preferred)

through coursework, personal projects, or prior experience. Strong

communication

skills

and ability to work collaboratively in a team environment.

Curiosity and eagerness to learn

-- a growth mindset is essential. Willingness to participate in

on-call rotations

and learn production operations practices. Expected Salary: 80,000 -97,000 CAD

Preferred Qualifications


These skills are not required on day one, but they are highly valued:Exposure to

data processing concepts

or frameworks (Spark, Glue, ETL pipelines). Familiarity with

Docker and containerization

concepts. Experience with

CI/CD pipelines

or automated testing. Personal projects or coursework involving

cloud services

or

data engineering

. * Interest in

Generative AI

and experience using AI-powered coding assistants for learning and productivity.