Senior Full-Stack Engineer

2 weeks ago


Vancouver, British Columbia, Canada Zencity Full time

Who are we?

Zencity is re-inventing the way governments listen to, understand, and interact with their residents. Our community trust platform uses advanced Natural Language Processing, ML algorithms and generative AI to help government organizations hear from more citizens, be more data-driven and increase resident satisfaction. Zencity's global team of urban enthusiasts and data geeks work with hundreds of cities and counties worldwide - from Los Angeles, to Chicago, to Tel Aviv. If you're passionate about joining a growing company whose focus is on leveraging data and tech to radically improve life in communities - your place is with us

Job Title: Senior Full-Stack Engineer

Location: Langley, BC (Hybrid - Weekly In-Person Collaboration)

What is the role? As a Senior Full-Stack Engineer, you will move beyond pure execution to own the technical vision and implementation of features that help mayors and city leaders better understand their citizens. You will be a key technical leader in our Langley office, balancing hands-on development with architectural decision-making.

We are looking for a force multiplier—someone who acts as a bridge between engineering and product strategy. You will identify systemic issues, lead solutions independently, and leverage modern AI tools to accelerate the entire team's velocity. You will join a mission-driven team dedicated to improving the lives of millions of citizens around the world.

We also know that for many talented engineers in the Fraser Valley, career growth often means a punishing commute to downtown Vancouver. We offer a different path. This is a high-impact, hybrid role (1 day/week in-office) that allows you to build world-class GovTech software while reclaiming your time. You will get the best of both worlds: deep focus time at home and high-value collaboration with a local team that values in-person mentorship.

Key Responsibilities

  • Lead End-to-End Delivery: Own the full lifecycle of key projects, from architectural design and data integration to server-side algorithms and front-end implementation (NodeJS, React, TypeScript).
  • Identify Bottlenecks & Drive Solutions: Proactively identify technical debt and process bottlenecks impacting product delivery, and lead the initiatives to resolve them.
  • Strategic Contribution: Move beyond assigned tasks to contribute to strategic planning, helping us refine requirements and ensure technical alignment with product goals.
  • Force-Multiply with AI: Champion the use of AI tools to accelerate development and, where applicable, integrate AI/ML capabilities directly into the product.
  • Mentorship & Culture: Promote a collaborative team environment by mentoring junior members, conducting insightful code reviews, and sharing knowledge to elevate the team's technical standard.

Requirements

  • 5+ years of experience in full-stack software development. Note: We prioritize the quality and density of your experience over the exact number of years.
  • Deep expertise in the Modern JS Stack: Proficiency in React, , and TypeScript is essential.
  • Cloud Native: Strong understanding of AWS services, serverless architectures, and containerization (Docker/Kubernetes).
  • Mastery of Trade-offs: You can clearly explain complex technical concepts and architectural trade-offs to stakeholders, ensuring everyone understands the "why" behind technical decisions.
  • Technical Autonomy: You have a history of taking ownership of ambiguous requirements and driving them to completion with minimal supervision.
  • AI Fluency: You are comfortable using AI-assisted development tools and have an interest in integrating AI services into production applications.
  • Hybrid Commitment: Ability to join our team in Langley at least once per week for high-value collaboration and team building.

It's even better if you have:

  • Experience designing and building a product/service from "Zero to One."
  • Previous experience in GovTech or building software for local governments.
  • Experience implementing LLMs or other AI models in a production environment.
Requirements
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