Link Logistics Real Estate (“Link”) is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans half a billion square feet. We leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers’ businesses and deliver value for our stakeholders. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo.
We're hiring a full-stack Software Engineer to help build Link's investment analytics platform. You'll own significant pieces of the infrastructure, make real architectural decisions, and work directly with the business teams who depend on what you build.
This is not a role where requirements get handed down. You'll identify problems, design solutions, and ship — often in the same week. You'll need to be comfortable with ambiguity, confident making judgment calls independently, and energized by the kind of work where there's no established playbook.
RESPONSIBILITIES:
Build and own the platform — design and maintain the application infrastructure, API layer, and shared services that power Link's Analytics Engine end-to-end. Microsoft Azure experience is preferred.
Set the technical foundation — make early architectural decisions that will shape how the platform scales; know when to move fast and when to get it right.
Develop full-stack applications that surface ML insights and advanced analytics through intuitive, responsive interfaces built in React and TypeScript. C# and SQL experience is valuable.
Improve developer velocity — own the build, deploy, and testing pipeline and continuously reduce friction for the team.
Integrate AI-native workflows — build tools, prompts, and evals that put real analytical leverage in the hands of investment teams.
Work directly with stakeholders — engage with investment, asset management, and capital markets teams to understand problems, gather feedback, and iterate without waiting for someone else to translate.
Lead by doing — mentor contractors and interns, set a high standard through code reviews, and bring teammates along without slowing down.
QUALIFICATIONS:
5+ years of full-stack development experience, ideally including time in an early-stage or 0→1 environment
Proven ability to ship end-to-end independently — from scoping a problem to deploying production code — without needing a designer, PM, or architect to unblock you
Experience shipping LLM-native features or applications in production
Expert-level React skills: modern patterns (hooks, context, suspense), performance optimization, and component architecture
Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIs
Sharp product instincts and a track record of making smart scope and architecture tradeoffs under pressure
Direct, low-ego communicator — comfortable with hard feedback from internal users and fast to incorporate it
PREFERRED QUALIFICATIONS:
Experience building ML-powered application workflows and integrating data science outputs
Familiarity with MCP or production LLM integrations
Background at an AI-native company or in a product-focused founding environment
Experience in real estate, finance, or other data-intensive industries
$185,000 - $225,000 represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience.
In Toronto and Vancouver: the expected salary range for this role in CDN is 150,000-$200,000/year.
Link provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays, paid time off.
The direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.
Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all Canada locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Our recruitment process does not include the use of Artificial Intelligence (AI).
EEO Statement
The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email [email protected].
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