Junior/intermediate full stack developer, java/angular 6 Jobs

Junior / Intermediate Backend Engineer
Aires Technology Inc. —Vancouver, BC
- $80,000–$120,000 a year
- Full-time
- Hybrid work
- Computer science
- SQL
- In-person
- Dental care
- Paid time off
Quick apply
1d
Full Stack Engineering Manager, Front-End Angular/React & Back-End Java
Accenture —Toronto, ON
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HCLTech —Quebec City, QC
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Sr. Software Engineer
Felix —Toronto, ON
- $125,000–$160,000 a year
- Full-time
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9d
Principal Software Engineer, Front End Web UI Platform
GitHub, Inc. —Remote
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- Doctoral degree
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Senior Full-Stack Software Developer1024
Veracity Ventures Inc. —Toronto, ON
- $95,000–$135,000 a year
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Senior Full Stack Developer
Agility Forex Ltd. —Vancouver, BC
- $110,000–$130,000 a year
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- Computer Science
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Software Engineering Lead - Toronto, On.
Dokainish & Company —Toronto, ON
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Fidelity Investments —Toronto, ON
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Citi —Mississauga, ON
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GitHub —Canada
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Principal Software Engineer, Front End Web UI Platform
GitHub —Canada
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CGI —Toronto, ON
- $95,000–$145,000 a year
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- Hybrid work
- AWS
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Junior / Intermediate Backend Engineer

Aires Technology Inc.
Vancouver, BC

Quick apply

Job details

Permanent | Full-time
$80,000–$120,000 a year
1 day ago

Qualifications

Authentication
Computer science
Cloud infrastructure
Law
Continuous Delivery (CD) implementation
Container orchestration
React
RESTful API
Infrastructure as Code (IaC)
Jest
Git
MongoDB
Data and database experience
SQL
Express.js
Docker
PostgreSQL
Distributed systems
Terraform
Redis
Back-end development
Redux
GitHub
Cypress
S3
React.js
Prometheus
Grafana
Unit testing
SaaS
AI
TypeScript
Debugging
MySQL
Pipeline
Identity & access management

Full job description

Junior / Intermediate Backend Engineer

Full-Stack Capable · Vancouver, BC — hybrid, 3 days in office · Full-time, Permanent

Node.js · MongoDB · SQL · AWS · Docker · Terraform · AI Pipelines

About the Company

Aires is an AI-native marketing and sales platform transforming how new homes are sold. Built specifically for the pre-sale real estate industry, Aires empowers developers and brokerages to manage the entire buyer journey — from lead generation and qualification to contract management and post-sale success — all in one connected ecosystem.

Founded by a team that has sold over 160,000 homes worldwide, Aires combines deep industry expertise with cutting-edge AI to streamline workflows and enhance customer experiences. Today, Aires partners with some of the world's leading real estate developers, including Grosvenor, to modernize how homes are marketed and sold.

We're a high-growth PropTech startup that prides itself on its culture, collaboration, and people. Our team is passionate, fast-moving, and driven by impact — building technology that's reshaping one of the world's largest industries.

About the Role

Aires is looking for a Junior / Intermediate Backend Engineer to join our fast-growing team. You'll work directly with the Co-Founders and senior engineers on the systems that power our platform: multi-tenant APIs, background job pipelines, AI-driven features, and the AWS infrastructure they run on.

This is a backend-focused role with real infrastructure ownership. You won't just write application code — you'll help provision it, deploy it, monitor it, and scale it. You'll also build AI pipelines that put LLMs, embeddings, and vector search to work on real customer problems.

We develop AI-first. Agentic coding tools (Claude Code, Cursor, Copilot) are part of our daily workflow, and we're looking for someone who already works this way — using AI to move faster while applying strong engineering judgment to what it produces.

It's an ideal role for an engineer early in their career who wants to grow beyond CRUD work into distributed systems, infrastructure-as-code, and applied AI, supported by hands-on mentorship. Based in our Vancouver, BC office, this role requires a minimum in-office presence of three days per week.

What You'll Do

Own backend features end to end: design → API → tests → deploy → monitor
Build and maintain Node.js/Express services backed by MongoDB (Mongoose) and Redis, applying SOLID principles and clean abstractions
Design background job pipelines and workers (BullMQ) for syncing, messaging, and data processing at scale, with attention to atomicity and data integrity (ACID)
Build AI pipelines: LLM integrations, prompt workflows, embeddings, and vector search features
Use AI development tools (Claude Code, Cursor, Copilot) as force multipliers — and critically review what they generate
Work in AWS daily — compute, S3, networking, IAM, secrets management
Contribute to our Terraform-managed infrastructure and CI/CD pipelines
Improve reliability through observability and alerting (Prometheus, Grafana, Sentry) and structured logging
Participate in PR reviews and technical design; communicate trade-offs clearly
Contribute to React front-end work when features call for it (full-stack capable, not front-end-first)

Requirements — Must Have

2–4 years professional experience building and operating production backend services
Strong JavaScript/TypeScript on Node.js (Express or similar)
Solid computer science fundamentals: data structures, algorithms, and complexity — you can reason about why a query or job pipeline is slow
Sound grasp of software design principles (SOLID, separation of concerns) and transactional guarantees (ACID) in real systems
MongoDB — schema design, indexing, query performance
Relational databases (PostgreSQL, MySQL, or similar) — solid SQL, schema design, and transactions; you understand when a document store is the wrong tool
Hands-on AWS experience (any mix of EC2/ECS, S3, IAM, CloudWatch, Secrets Manager)
Docker — building images and running containerized services in development and production
Hands-on experience with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, or similar) as part of a professional workflow
REST API design, Git, code review, and CI-based workflows
A genuine testing habit — unit and integration tests ship with every change, not after it; comfortable debugging across services. This is non-negotiable for us.

Nice to Have

Terraform or other infrastructure-as-code experience
Kubernetes or container orchestration (ECS, EKS)
Experience shipping LLM-powered features: RAG, embeddings, vector databases (e.g., Atlas Vector Search), prompt pipelines
Redis job queues (Bull/BullMQ) and worker architectures
Observability stacks: Prometheus, Grafana, Loki, Sentry
Third-party API integrations at scale (SendGrid, Twilio, Stripe, or similar)
Application security experience — OWASP fundamentals, authentication/authorization design, least-privilege IAM, secrets management
Multi-tenant SaaS architecture experience
React experience for occasional full-stack work

Our Stack

Backend: Node.js 20, Express, MongoDB/Mongoose (Atlas), Redis with BullMQ, REST APIs (OpenAPI), Jest/Mocha

AI: LLM APIs, embeddings and vector search on MongoDB Atlas; Claude Code, Cursor, and Copilot in the development workflow

Infrastructure: AWS (EC2, S3, IAM, Secrets Manager, CloudWatch), Terraform, Docker, CI/CD via GitHub Actions

Observability: Prometheus, Grafana, Loki, Sentry

Integrations: SendGrid, Twilio, Stripe, Nylas

Front-end (secondary): React 18, Redux, React Query, Tailwind CSS

Experience

Required: Node.js backend development (2 years), MongoDB (2 years), Relational databases / SQL (1 year), AWS (1 year), Docker (1 year), Automated testing (2 years)

Preferred: AI-assisted development tools, Terraform / infrastructure-as-code, Kubernetes

Benefits

Dental care · Extended health care · Life insurance · Paid time off · Stock options · Vision care

Aires · www.aires.ai · Vancouver, BC · Full-time, Permanent

Pay: $80,000.00-$120,000.00 per year

Benefits:

Dental care
Extended health care
Life insurance
Paid time off
Stock options
Vision care

Application question(s):

Do you have professional experience with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, or similar)?

Experience:

Node.js backend development: 2 years (preferred)
MongoDB: 2 years (preferred)
relational database / SQL: 1 year (preferred)
AWS: 1 year (preferred)
Docker: 1 year (preferred)
automated testing (unit/integration): 2 years (preferred)
Kubernetes: 1 year (preferred)
Terraform: 1 year (preferred)

Work Location: Hybrid remote in Vancouver, BC

Quick apply

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