Publié il y a 11 jours
Software Engineer I
@ Planview Incorporated
Vancouver, Colombie-Britannique
En bref
Planview is hiring an early-career Software Engineer I for its Platform Engineering Intelligence Platforms team in Vancouver, BC. The role builds developer tooling, automation and AI-enabled platform services on AWS, with one to two office days per week. The posting gives an expected salary of 75,000 to 100,000 CAD.
Responsabilités :
- Build platform capabilities, developer tooling and automation services
- Develop software and automation on AWS
- Troubleshoot application, platform and infrastructure issues
- Take part in human and AI-assisted code reviews
- Contribute to agentic workflows and self-service platform capabilities
Résumé des exigences :
- Bachelor's degree in computer science, software engineering or related field
- Practical development experience through internships, co-ops or personal projects
- Experience with at least one programming or scripting language
- Experience with Git and modern development practices
- Familiarity with Linux and basic shell scripting
- Basic understanding of SQL and application security
Outils et compétences
Avantages mentionnés
Source et dates
Type de source non vérifié · jibe
- Date publiée par l’employeur
- 2026-10-26
- Première détection par notre source
- 2026-10-26
- Mise à jour du dossier source
- 2026-10-27
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Débutant |
| Domaine | Développement logiciel |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer Science, Software Engineering, Computer Engineering |
| Avantages mentionnés | Congés payés généreux, Horaire flexible, Congé parental généreux, Régime de retraite, Prime de rendement, Mieux-être |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Planview Incorporated
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Closing the gap between strategic intent and business outcomes.
Description complète de l’entreprise
Planview is the platform for driving enterprise execution and outcomes. It brings 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. Trusted by the world's leading organizations and recognized by Gartner, Forrester, and IDC, Planview transforms how enterprises turn strategic investments into decisive action and measurable results.
- Abonnés LinkedIn
- 98 082
- Personnes associées sur LinkedIn
- 1 803
- Bureaux déclarés
- 12301 Research Boulevard, Research Park Plaza V, Ste. 400, Austin, TX 78759, Austin, TX 78759, US
- Catégories d’activité
- Information Technology
- Software
- Collaboration
- Enterprise Software
- SaaS
- Management Information Systems
- Project Management
- Enterprise Software & Network Solutions
- Autres noms enregistrés
- Planview Incorporated
- Planview
- Spécialités
- Portfolio Management
- Project Management
- Resource Management
- Business Process Management
- Product Portfolio Management
- Strategic Alignment
- Financial Management
- Investment Analysis
- Project Collaboration
- Project Portfolio Management
- Workflow Management
- Idea Management
- Enterprise Agile Planning
- Lean Portfolio Management
- Agile Program Management
- Work Management for Teams
- Strategic Portfolio Management
- Enterprise Architecture
- Agile Program Management
- Enterprise Kanban
- Innovation Management
- Agile Delivery Teams
- Value Stream Management
- Digital Transformation
- Artificial Intelligence
- and AI
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 113 345 803
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Planview is the platform for driving enterprise execution and outcomes. It brings 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. Trusted by the world's leading organizations and recognized by Gartner, Forrester, and IDC, Planview…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 1,001-5,000 employees |
| Siège social | Austin, TX |
| Type d’organisation | Privately Held |
| Spécialités | Portfolio ManagementProject ManagementResource ManagementBusiness Process ManagementProduct Portfolio ManagementStrategic AlignmentFinancial ManagementInvestment AnalysisProject CollaborationProject Portfolio Management |
| Offres sur Jobsy | 5 |
| Voir la page |
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
The Opportunity
We're seeking a Software Engineer-I to join our Platform Engineering -Intelligence Platforms team in Vancouver, BC. This is a hybrid role, and team members are expected to be in the office one to two days per week.
As part of the Platform Engineering organization, you'll help build intelligent platform capabilities that enable engineers to develop, deploy, operate, and scale software with greater efficiency and confidence. You'll work alongside Platform, Cloud, DevOps, AI Agents, and Software Engineers to build automation, developer tooling, AI-enabled workflows, and platform services that accelerate engineering productivity across the organization.
This role is ideal for an early-career engineer who enjoys solving technical challenges, building automation, leveraging AI-assisted development practices, and learning modern cloud and platform engineering technologies.
What You'll Do
- 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
What You'll Bring
- 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.
Benefits at Planview
At Planview, you’ll join our global team and culture which reflects the vibrant communities in which our employees live and work. To support you at Planview, you will enjoy:
- Unplugged Days: 4 company-wide paid days off per year to recharge and relax.
- Generous PTO offerings (region dependent).
- Region specific competitive benefit plans to support you at any life stage including parental leave, retirement, medical plans, wellness support, and remote work support.
- Paid time to volunteer through Planview’s Force for Good Week.
- Employee Referral bonus program.
- Weekly office lunches for hybrid team members and social events.
- Flexible work hours/environment.
Now is a great time to join our team. If you are looking for a place to grow your career, innovate with best-in-class solutions, and build the future of connected work, Planview is the right place for you!
AI Use in Recruitment
Planview may employ AI-based tools to support certain recruiting activities, however all decisions affecting a candidate's application are made by a human recruiter or hiring manager. Planview is committed to complying with applicable AI regulations, including the EU AI Act and other emerging legislation in the jurisdictions in which we operate, and reviews its AI practices as these requirements evolve. If you require further information or would like to exercise your rights under applicable privacy laws, please submit your request at the Planview Data Subject Access Request (DSAR) Portal.
- 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
- 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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