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Entry Level Backend Web Developer Jobs in British Columbia

Clarius Mobile Health

Systems Test Engineer

Vancouver, BC · On-site

CA$75K - CA$85K/yr

... web applications. * Build and maintain automated test suites using Python (pytest), Appium, Playwright, and GitHub Actions. * Test backend APIs, investigate defects, collaborate with developers on ...

MasterCard

Software Engineer II

Vancouver, BC · On-site

Title and Summary Software Engineer II Overview: Be part of the Operations & Technology Fraud ... Creating and debugging J2EE REST Web Services, gRPC-based service development and Web Applications ...

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Entry Level Backend Web Developer information

What are some common challenges faced by entry level backend web developers, and how can they overcome them?

Entry level backend web developers often encounter challenges such as understanding complex codebases, managing version control systems like Git, and debugging server-side issues. Collaborating with more experienced developers and actively seeking feedback can help newcomers learn best practices and improve their problem-solving skills. Additionally, taking the initiative to document their work and participate in code reviews can accelerate their learning and integration into the team. Regularly practicing and expanding their knowledge of backend frameworks and databases will also help them become more confident in the role.

What are the key skills and qualifications needed to thrive as an entry level backend web developer, and why are they important?

To thrive as an Entry Level Backend Web Developer, you need proficiency in programming languages such as Python, Java, or Node.js, a basic understanding of databases, and often a relevant degree or coding bootcamp experience. Familiarity with frameworks like Express or Django, version control systems like Git, and RESTful API development is typically required. Strong problem-solving skills, attention to detail, and effective collaboration set standout candidates apart. These abilities ensure you can build reliable, scalable server-side applications and contribute effectively to development teams.

What is the difference between Entry Level Backend Web Developer vs Junior Backend Developer?

AspectEntry Level Backend Web DeveloperJunior Backend Developer
Required CredentialsAssociate's degree or relevant certifications, some coding experienceSimilar; often the same certifications or training
Work EnvironmentStart-up, small to medium companies, tech firmsSimilar; common in same industries
Employer UsageEntry-level roles for new developersOften used interchangeably with Entry Level Backend Web Developer
Search & Comparison IntentYes; candidates compare these rolesYes; similar job functions and expectations

Both roles typically require foundational coding skills, familiarity with backend technologies, and are used in similar work environments. The terms are often used interchangeably, and employers look for similar qualifications. The main difference is often in job titles rather than responsibilities or requirements, making them comparable entry-level backend development roles.

What does an entry level backend web developer do?

An entry level backend web developer is responsible for creating and maintaining the server-side logic, databases, and APIs that power websites and web applications. They work with backend languages such as Python, Java, Ruby, or PHP, and often use frameworks like Django, Node.js, or Express. Their tasks may include writing clean code, integrating with front-end components, ensuring data security, and troubleshooting server-side issues. Entry level developers typically work under the guidance of more experienced team members as they build their skills.
What cities in British Columbia are hiring for Entry Level Backend Web Developer jobs? Cities in British Columbia with the most Entry Level Backend Web Developer job openings:
Entry Level Backend Web Developer jobs near you

Agentic AI Engineer

D3 Security Management Systems

Vancouver, BC • On-site

Full-time

Medical, Dental

Re-posted 4 days ago

Job description

Location: Greater Vancouver Area (In-Office Only) candidates only


About D3 Security

D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations.


The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team.


Role Summary

D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows.


You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment.


Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for.


What You’ll Be Doing

  • Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows.
  • Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems.
  • Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.
    Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way.
  • Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements.
  • Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost.
  • Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability.
  • Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product.



What You’ll Bring

  • 2+ years of software engineering industry experience building and shipping production applications.
  • Strong coding skills in Python and/or C#, with solid backend engineering fundamentals.
  • Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks.
  • Experience building or integrating API-driven systems and working across application layers.
  • Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows.
  • Ability to turn ambiguous product or engineering requirements into structured implementation plans.
  • Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior.
  • Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery.
  • Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement
  • Clear written and verbal communication.


Nice to Have

  • Has used AI coding tools to meaningfully change how they build software, not just experimented with them.
  • Familiarity with Docker, Kubernetes, or Azure
  • Experience shipping AI-powered product features in enterprise software
  • Interest in cybersecurity, automation, or workflow-heavy systems
  • Exposure to evaluation, prompt iteration, or reliability practices for LLM applications


Compensation & Benefits

  • We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers.
  • Extended health and dental benefits
  • On-site gym access
  • Commuter expense reimbursement
  • Team events and social activities
  • Free foods and snacks in-office
  • Most importantly:

Real ownership, real impact, and real growth opportunities


Job Type: Full-time, Permanent


Schedule: Monday to Friday


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