Richmond, Bc Stack software developer Jobs – 144 Openings This Week

AI Native Full Stack Developer — Associate Manager / Manager
Accenture —Vancouver, BC
- $90,850–$140,850 a year
- Full-time
- Computer Science
- Engineering
- English
AI Native Full Stack Developer — Senior Manager
Accenture —Vancouver, BC
- $119,700–$247,800 a year
- Full-time
- Computer Science
- Engineering
- English
Senior Software Engineer (Java)
Mastercard —Vancouver, BC
- $111,000–$160,000 a year
- Full-time
- Azure
- Computer Science
- Engineering
Staff Engineer, Identity Data and Workflow Engineering
Royal Bank of Canada —Vancouver, BC
- Full-time
- DevOps
- Presentation skills
- No university degree
DevOps Developer, Internal Applications
Algo Communication Products —Burnaby, BC
- $115,000 a year
- Full-time
- DevOps
- AWS
- Software development
Quick apply
7d
Software Engineer (Platform)
Revic —Vancouver, BC
- Full-time
- Remote
- Azure
- AWS
- Scripting
- Dental care
- Vision care
SRE Specialist/DevOps Developer
Fortinet —Burnaby, BC
- $105,000–$140,000 a year
- Full-time
- DevOps
- English
- Java
- Disability insurance
- Dental care
Senior Product Developer
Traction Rec —Vancouver, BC
- $110,000–$120,000 a year
- Full-time
- Remote
- Computer Science
- Sales
- Salesforce
Quick apply
Staff / Lead Engineer - Accounting Core
Xero —Vancouver, BC
- $186,000–$236,000 a year
- Full-time
- Hybrid work
- AWS
Senior Engineer, Payments
Xero —Vancouver, BC
- $155,000–$205,000 a year
- Full-time
- Hybrid work
- AWS
- Agile
- In-person
Lead Full Stack Engineer (.Net, Vue/React) - Fully Remote
CoverGo —Vancouver, BC
- Full-time
- Remote
- Azure
- AWS
- Bachelor's
Quick apply
2d
Machine Learning Manager
Novarc Technologies Inc —Burnaby, BC
- $140,000–$173,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Analysis skills
Quick apply
Senior Software Engineer, Infrastructure - Compute Platform
Coinbase —Vancouver, BC
- $191,100 a year
- On call
- AWS
- In-person
Senior R&D Engineer
Synopsys —Vancouver, BC
- $82,000–$123,000 a year
- Doctoral degree
- Computer Science
- Engineering
Technical Lead - Mainframe / ESB Integration
CGI —Vancouver, BC
- $85,000–$160,000 a year
- Full-time
- Computer Science
- DevOps
- Engineering
Quick apply
Senior Engineer
Xero —Vancouver, BC
- $155,000–$205,000 a year
- Full-time
- Hybrid work
- AWS
Senior Developer Application Architect PDHIS
PHSA —Burnaby, BC
- $76,111–$109,409 a year
- Temporary
- Oracle
- Computer Science
- Bachelor's
Lead Product Manager - AI Developer Platform
Scribd, Inc. —Vancouver, BC
- $141,000–$256,500 a year
- Full-time
- AWS
- Product management
- APIs
- Disability insurance
- Dental care
Lead Data Engineer
Two Circles —Vancouver, BC
- $110,000–$130,000 a year
- Full-time
- Hybrid work
- DevOps
- Databases
- SQL
Quick apply
Senior Programmer, SC Performance
PHSA —Burnaby, BC
- $49.03 an hour
- Full-time
- Computer science
- Azure
- Computer Science

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stack software developer jobs near richmond, bc

AI Native Full Stack Developer — Associate Manager / Manager

Accenture -
Vancouver, BC

Apply Now

Job details

Full-time
$90,850–$140,850 a year

Qualifications

Ontology
Data modeling
Computer Science
Kubernetes
Engineering
English
Java
Docker
Bachelor's
Distributed systems
Software development
GitHub
APIs
AI
Python
SDLC

Full job description

We Are

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows built to scale in real-world settings. Our teams embed deeply with customers, moving projects beyond experimentation into operational reality.

You Are

You are a hands-on AI Native Full Stack Developer who builds production-grade agentic applications and uses AI as a core part of how you deliver software. AI coding assistants and agents are embedded in your day-to-day workflow across design, code generation, testing, review, and delivery — helping you move faster while maintaining quality, structure, and engineering discipline.

You bring strong capability across agentic AI, cloud-native delivery, and custom application development. You can independently own and deliver meaningful parts of an AI-native solution from design through build and run, thrive in ambiguity, translate complex problems into working software, and partner with client stakeholders to drive adoption of what you build.

The Work

You will work directly with clients as both a technologist and trusted advisor, helping define use cases, rapidly prototype solutions, and deliver secure, scalable agentic workflows in complex enterprise environments. You will help move AI-native solutions beyond proof of concept into operational, production-ready platforms integrated across client systems and ecosystem partners.

Responsibilities:

Apply AI coding assistants and agents across the software development lifecycle — including design, code generation, testing, code review, and delivery — to improve speed, quality, and engineering consistency.
Design and build enterprise-ready AI agents, including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Design, develop, and enhance custom software components across distributed systems and applications using modern frameworks.
Build abstraction layers across AI providers such as Anthropic, OpenAI, Google, and similar platforms to enable flexible, multi-provider integration.
Use Kubernetes, Docker, microservices, serverless, event-driven patterns, CI/CD, and observability to ship scalable AI-native systems.
Facilitate design workshops, POCs, and code-with sessions to shape agent workflows, build stakeholder confidence, and tailor solutions to each client’s industry and domain.

What You’ll Need

Bachelor’s degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus.
Minimum 7 years building and shipping cloud-native systems, including APIs, microservices, containerization, serverless, CI/CD, and observability.
Demonstrated hands-on experience using AI coding tools and agents, such as Claude Code, GitHub Copilot, or similar, to deliver real software with meaningfully higher output.
Experience working within an AI-native software development lifecycle, applying AI across design, build, testing, review, and delivery.
Hands-on experience designing and shipping production-grade agentic AI solutions, including agents, orchestration, context engineering, RAG, and agentic workflows.
Experience with AI platforms such as Claude, OpenAI, Vertex AI, and open-source models, including multi-provider architectures.
Proven experience in custom application development with strong programming ability in Python, Java, or equivalent.
Ability to design and deliver scalable, reusable solutions across systems and teams while working effectively with client stakeholders.
Experience guiding client teams through adoption of AI-native software development practices.
Familiarity with evaluation tooling, logging, monitoring, and agent observability.
Experience in data engineering, including data pipelines, data modeling, ontologies, or knowledge graphs, particularly for grounding agents in well-structured enterprise data.
English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Bonus Points If You Have

These are not required, but they would help you stand out:

Experience as a Forward Deployed Developer or Agentic AI builder in an enterprise environment.
Experience with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.
Strong grasp of the AI-native paradigm, blending cloud-native and generative model architectures to optimize performance, modularity, and efficiency.
AI certifications or hands-on experience with agentic frameworks and tooling.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,
role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time
employment, for roles that may be hired as set forth below.
The recruiting efforts for this position are intended to fill a brand new position.
The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.
It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here:

Role Location Annual Salary Range

British Columbia/Ontario $90,850 to $140,850

#LI-NA-FY26 and #LI-MP

Apply Now

Refine Your Search

stack software developer jobs in richmond, bc

AI Native Full Stack Developer — Associate Manager / Manager

AI Native Full Stack Developer — Senior Manager

Senior Software Engineer (Java)

Staff Engineer, Identity Data and Workflow Engineering

DevOps Developer, Internal Applications

Software Engineer (Platform)

SRE Specialist/DevOps Developer

Senior Product Developer

Staff / Lead Engineer - Accounting Core

Senior Engineer, Payments

Lead Full Stack Engineer (.Net, Vue/React) - Fully Remote

Machine Learning Manager

Senior Software Engineer, Infrastructure - Compute Platform

Senior R&D Engineer

Technical Lead - Mainframe / ESB Integration

Senior Engineer

Senior Developer Application Architect PDHIS

Lead Product Manager - AI Developer Platform

Lead Data Engineer

Senior Programmer, SC Performance

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