Software engineer senior H/F (IT)

Senior Software Engineer

Come join a team that's passionate about helping governments build better communities!

UrbanLogiq builds a data platform that helps government agencies make smarter decisions with geospatial data, AI-driven analytics, and cross-community insights. Our engineers are customer-focused. You'll work directly with customers, understand their problems firsthand, and ship solutions that have real impact on how cities and states plan infrastructure, allocate resources, and serve their communities.

We're looking for a Senior Software Engineer to join a small, senior team that builds and operates this platform. Our stack includes Python, Go, TypeScript, Rust, and SQL, spanning data pipelines, geospatial processing, web interfaces, SDKs, and AI-integrated workflows. You’re not just building what's requested, but helping shape what gets built based on what you hear. On a small team serving multiple agencies simultaneously, every engineer is part of the client relationship.

Build and ship platform and infrastructure work primarily focused on our data ingestion automation and model execution systems, creating capacity for the platform work that drives long-term product value.

We embrace these tools across most of our stack, while maintaining rigorous human oversight in governance-sensitive areas.

We build a governed data platform where data provenance, lineage tracking, and explainability aren't features but rather they're architectural constraints. Parts of our system require tamper-evident audit trails, dual-human review of generated code, and strict data classification enforcement. You'll need to internalize why these constraints exist and engineer within them, not around them.

Own features end-to-end: scoping, implementation, testing, deployment, and iteration based on customer feedback.

Contribute to system design decisions and architectural direction in a small, senior team where every engineer's voice carries weight.

We're a small team and there's no formal on-call rotation, and we design our systems not to need one. Solid engineering fundamentals and depth in at least one area. Whether that's backend services, data engineering, frontend, infrastructure, or something else we care that you're genuinely good at something. 5+ years of professional software engineering experience. You've shipped and maintained production systems, debugged hard problems under pressure, and made pragmatic tradeoffs between quality and velocity.

• Customer-facing comfort. You can explain technical concepts to non-technical stakeholders, listen to what users actually need (not just what they ask for), and represent the engineering team in client conversations. You use AI coding tools in your workflow or you're eager to. What matters is good judgment about when they help and when they introduce risk, not years of experience with any particular tool.
• You ask for help when you're stuck, not after you've gone in circles.
• A technical degree (computer science, mathematics, statistics, physics, or engineering) or equivalent professional experience.
• We work with government data.
• Experience in these areas will matter early. Data pipelines and ingestion systems: ETL, data transformation, schema analysis, or similar work where you're moving data between systems and formats at scale.

SDK or API development: building tools that other developers use, where usability, documentation, and developer experience are first-class concerns.

Containerized execution environments (Docker, Kubernetes): our model execution and transform pipelines run in sandboxed containers.

You don't need these, but experience in any of them would give you a head start:

Geospatial data (GIS formats, coordinate reference systems, geometry operations). Data serialization formats beyond JSON such as Parquet, Arrow, protobuf, FlatBuffers.

Data governance, provenance tracking, or compliance workflows, focused on understanding why some code paths need human review even when an LLM could generate them.

We write design docs, we document decisions, and we maintain technical clarity across a distributed team.

The opportunity to work on a platform that combines geospatial data, AI, and public-sector impact. A small, senior engineering team where you'll have meaningful influence over architecture, tooling, and product direction.

Direct exposure to customers and the domain. You'll understand why you're building what you're building.

Meaningful equity in an early-stage company. The expected salary band for this role follows UrbanLogiq's salary classification system for a staff-level engineer at $140k-$180k plus equity.

Travel opportunities across Canada and the United States to visit clients and present at conferences.

A culture that embraces modern AI-assisted development while maintaining engineering rigor where it counts.