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Java Software Engineer

Expired
  • Vancouver, BC
  • On-site
  • Posted Sep 9, 2026
  • 1 position
Employment type
Contract
Experience level
Mid-level · 3+ years
Minimum education
Bachelor’s degree
Apply by
Oct 9, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Associate
Application method
Direct apply is available

This job has expired

This position at Aptonet is no longer accepting applications. The original posting remains below for reference.

Expired Sep 17, 2026

Original job posting

Design and deploy features for a generative AI platform to enhance Planview products and customer experiences. Collaborate with cross-functional teams to build scalable services and integrate organizational data sources.

Job details

About the job We are seeking an Intermediate Software Engineer to join our team in Vancouver, BC, and help build innovative generative AI capabilities across Planview products. In this role, you will collaborate with senior engineers, Product teams, Data Science teams, and other development groups to design, implement, test, and deploy features for an AI-powered platform that helps users identify management concerns and recommend actionable solutions. Responsibilities Design, develop, test, and deploy features for a generative AI platform Build AI-driven capabilities that enhance Planview products and customer experiences Collaborate with Product, Data Science, and Engineering teams to deliver AI-based use cases Develop scalable services using modern software engineering practices and technologies Integrate and leverage organizational data sources, including OKRs, product portfolios, and engineering work tickets Work closely with stakeholders across multiple development teams to deliver high-impact solutions Support the development and deployment of agentic AI platform capabilities Participate in code reviews, testing, debugging, and continuous improvement initiatives Contribute to a DevOps culture where teams build, deploy, and support their solutions Apply modern software design principles and agile development methodologies throughout the development lifecycle Required Skills 4+ years of professional software development experience 3+ years of experience developing applications with Java and Spring framework Strong understanding of Java design patterns, best practices, and software engineering principles. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), React, Large Language Models (LLMs), such as Claude Sonnet, and DevOps environment Strong problem-solving and collaboration skills Bachelor's degree in Computer Science, Engineering, or a related field Preferred Skills Hands-on experience applying AI technologies to real-world software development challenges. Experience building AI-powered products or features Knowledge of data strategy and data-driven product development Experience supporting agentic AI platforms or generative AI applications Familiarity with integrating AI services into enterprise software products Experience collaborating across Product, Data Science, and Engineering organizations

What you’ll do

Design and deploy features for a generative AI platform to enhance Planview products and customer experiences. Collaborate with cross-functional teams to build scalable services and integrate organizational data sources.

Requirements

Requires over 4 years of professional software development experience, with at least 3 years specializing in Java and Spring. A bachelor's degree in Computer Science or a related field is required along with experience in cloud platforms and LLMs.

Listed skills

  • Microsoft Azure · Preferred
  • Problem solving · Preferred
  • Collaboration · Preferred
  • React · Preferred
  • Amazon Web Services · Preferred
  • Java · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Java
  • Spring Framework
  • AWS
  • Azure
  • Google Cloud Platform
  • React
  • Large Language Models
  • Claude Sonnet
  • DevOps
  • Generative AI
  • Software Design Patterns
  • Agile Development
  • Agentic AI
  • Problem Solving
  • Collaboration

Job areas

  • Software
  • Technology
  • Engineering
  • Data & Analytics
  • Science & Research

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