Software Engineer II

Company 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 , and connect with us on Linked In, Instagram, and X.

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Software Engineer II – Vancouver, Canada

We are seeking a Software Engineer II to join our Data Foundation team. You will contribute to building and maintaining our cloud data platforms, working alongside senior engineers on data pipelines, platform features, and operational improvements. This role offers the opportunity to deepen your expertise in cloud‑native data engineering while growing toward senior‑level ownership and independence.

• Build and Maintain Data Platforms – Contribute to the development of scalable data pipelines and platform features on AWS. Implement solutions using modern data processing frameworks, working within established architectural patterns while learning to evaluate trade‑offs and propose improvements.
• Grow Your Technical Expertise – Deepen your skills in distributed data processing, cloud architecture, and data engineering best practices. Work with technologies like Spark, Glue, and modern data platforms while building toward fluency with GenAI‑powered development tools. Senior engineers will provide guidance on complex problems while you take increasing ownership of your areas of focus.
• Collaborate Across the Team – Work closely with senior engineers, product managers, and platform engineers to deliver on team objectives. Participate in design discussions, code reviews, and technical planning. Communicate effectively about your work and proactively seek input when navigating unfamiliar territory.
• Own Production Operations – Embrace our “You Build It, You Run It” culture by participating in on‑call rotations and taking ownership of the systems you help build. Respond to incidents, contribute to root cause analysis, and help improve monitoring and alerting for the platform. You are expected to operate production systems confidently, escalating appropriately when issues exceed your current expertise.

Requirements

• 3‑4 years of professional software development experience with exposure to complex software projects.
• Proficiency in Java, Python, and SQL for application development and data processing.
• Working knowledge of AWS services and cloud architecture, with hands‑on experience building and maintaining cloud‑based applications.
• Familiarity with data processing frameworks (e.g., Apache Spark, AWS Glue) and strong interest in developing expertise in this area.
• Understanding of software development methodologies and tools (version control, CI/CD, code review practices).
• Familiarity with Docker and containerization concepts.
• Solid understanding of data structures and algorithms.
• Experience with on‑call rotations and production operations in a team‑owned environment.
• Expected Salary: 100,000–118,000 CAD

Preferred

• Experience with cloud data platforms (e.g., Snowflake, Redshift, Big Query) for data warehousing or analytics.
• Experience with event streaming technologies (Kafka, Kinesis) or data pipeline…