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Job Post Details

Software Engineer I
Planview Incorporated
·
4.2
Vancouver, BC V6B 4N6
•
Remote
$75,000–$100,000 a year
Apply on company site

Job details

$75,000–$100,000 a year
Remote in Vancouver, BC V6B 4N6

Full job description

Overview:

Planview has one mission: to close the gap between strategic intent and business outcome, providing the intelligence organizations need to act decisively.

As the global leader in Strategic Portfolio Management, Planview helps organizations of all sizes achieve their business goals, faster and smarter. Our comprehensive platform bring initiatives, investments, and resources into a continuous, connected model of the business: the actionable understanding leaders need to move decisively, keep teams and AI in lockstep, and know how their initiatives are performing.—now powered by Planview Anvi, our next-generation enterprise AI that delivers expert guidance, intelligent recommendations, and actionable insights, turning complex data into decisive action from strategy through execution.

Recognized as a Leader in the 2026 Gartner Magic Quadrant for Strategic Portfolio Management for the fifth consecutive year, we proudly serve more than 3,000 customers globally, including 45% of the Fortune 100—and more than 3 million users worldwide.

Why Join Planview?

At Planview, our people’s connections drive our innovation and success. Our global team of 1,500+ employees work remotely and across offices in Austin, Vancouver, Hod HaSharon, Bangalore, Sydney, and Stockholm. We've built a world-class, connected culture rooted in shared values that empowers our teams to thrive and succeed from anywhere. When you join Planview, you're not just joining a company, you're joining a movement to transform how the world works.

Discover more about our portfolio at planview.com, and connect with us on LinkedIn, Instagram, and X.


#LI-HYBRID#LI-CG1

Responsibilities:
  • Build and enhance platform capabilities, developer tooling, and automation services that improve engineering productivity and operational excellence.
  • Build capabilities, not just features, with a focus on scale, reuse, self-service, and long-term engineering productivity.
  • Contribute to agentic workflows, intelligent automation patterns, AI-powered engineering solutions, and self-service platform capabilities.
  • Develop software and automation on top of cloud and infrastructure platforms, primarily within AWS.
  • Analyze, troubleshoot, and resolve application, platform, and infrastructure issues.
  • Participate in both human and AI-assisted code reviews to improve quality, maintainability, reliability, and security.
  • Leverage AI-assisted development tools and internal engineering knowledge platforms to accelerate learning, development, testing, troubleshooting, and delivery.
  • Evaluate and adopt emerging technologies that improve developer experience, platform capabilities, engineering effectiveness, and operational efficiency.
  • Collaborate across Product Development teams to identify opportunities for automation, standardization, and intelligent platform services.
  • Expected Salary: 75,000 -100,000 CAD
Qualifications:
  • Bachelor's degree in computer science, Software Engineering, Computer Engineering, or related field.
  • Internship, co-op, research, open-source, personal project, or equivalent practical software development experience related to Platform Engineering, DevOps, CloudOps, Developer Experience (DevEx), AI Engineering, Agentic Systems, automation, or cloud technologies.
  • Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf, Amazon Q, or similar technologies.
  • Experience with one or more programming, scripting, or automation languages such as Python, .NET (C#), Java, JavaScript, TypeScript, Go, Bash, or similar.
  • Experience using Git and modern software development practices.
  • Familiarity with Linux or Unix-based operating systems and basic shell scripting.
  • Basic understanding of relational databases and SQL.
  • Basic understanding of authentication, authorization, identity management, and modern application security concepts.
  • Familiarity with Entra ID (Azure AD), SSO, OAuth, OpenID Connect, LDAP, or similar identity technologies.
  • Strong problem-solving, troubleshooting, and communication skills.
  • Passion for learning, automation, documentation, knowledge sharing, and continuous improvement.

Preferred Qualifications

  • Experience building platform capabilities, internal developer tooling, engineering productivity solutions, or automation services.
  • Familiarity with Docker and containerized applications.
  • Exposure to AWS cloud services and cloud-native development concepts. (Cloud - AWS Shop)
  • Familiarity with CI/CD concepts and platforms such as GitHub Actions, Jenkins, or similar technologies.
  • Exposure to Infrastructure as Code concepts and tools such as Terraform.
  • Familiarity with Kubernetes, ArgoCD, or related cloud-native technologies.
  • Understanding APIs, networking fundamentals, and modern web technologies.
  • Familiarity with leveraging AI tools for coding, testing, troubleshooting, documentation, research, knowledge discovery, and learning.
  • Interest in Generative AI, AI agents, agentic workflows, intelligent automation, developer productivity platforms, or platform engineering.
  • Experience in Platform Engineering, CloudOps, DevOps, DevEx, AI Engineering, or Agentic Systems will be considered a strong asset.

Nice to Have

  • Showcase previous work, projects, contributions, or initiatives from internships, co-ops, research, open-source communities, personal learning, hackathons, academic work, startups, or collaborative team environments.
  • Experience building AI-enabled applications, agentic workflows, intelligent automation solutions, developer tools, platform capabilities, or self-service engineering systems.
  • Demonstrated curiosity and initiative in exploring and applying emerging technologies, hackathons, group-collaboration.

What Success Looks Like

  • Deliver platform capabilities, automation solutions, and engineering systems that create measurable value for development teams.
  • Embrace an AI-native engineering mindset by effectively partnering with AI Agents, copilots, and modern development tools.
  • Continuously learn and apply new technologies, patterns, and engineering practices.
  • Identify opportunities to simplify, standardize, automate, and scale engineering workflows.
  • Collaborate effectively across teams and take ownership of outcomes.
  • Contribute to the evolution of intelligent platforms that help engineers build, deploy, and operate software more efficiently.
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