Staff Software Developer at Jones Lang LaSalle (JLL) – Toronto | Jobyssey

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Staff Software Developer – JLL

What this job involves:

As a Staff Software Developer at JLL, you will lead the design and implementation of complete features spanning React frontend, C# backend services, database layer, and deployment pipeline. This senior technical role requires you to discover problems, determine their criticality, and drive your own projects to successful conclusion while mentoring junior engineers. You'll design and build scalable geospatial solutions leveraging the ArcGIS stack, set up end-to-end DevSecOps processes, and take leadership roles in large projects. Working closely with Product Managers and business stakeholders in fast iteration cycles, you'll leverage AI coding assistants and enterprise software agents to rapidly develop production-quality code while maintaining the highest quality standards.

What your day-to-day will look like:

Lead solution design and independently create solutions for ill-defined or complex problems that cross domains, considering interactions with other systems and future maintenance
Design and build scalable geospatial solutions leveraging the ArcGIS stack to surface enterprise data, optimizing spatial data workflows and query performance
Set up end-to-end solution structure, DevSecOps tooling and processes using Octopus Deploy and cloud technologies while taking leadership roles in large projects
Leverage AI coding assistants and enterprise software agents to rapidly develop, test, and iterate on production-quality code with strong ability to review, validate, and debug AI-generated outputs
Own quality assurance through comprehensive testing approaches including unit testing, system integration testing, and user acceptance testing, developing robust tests to cover all relevant cases
Triage complicated failures and drive to resolution independently, helping others with their troubleshooting and root cause analysis
Mentor junior engineers on proper standards and techniques to improve their accuracy and efficiency while providing ongoing support to applications used within the organization

Required Qualifications:

8+ years of professional software engineering experience
Hands-on experience with modern LLM APIs across multiple providers, including prompt engineering, tool use/function calling, structured outputs, and context engineering
Strong ability to review, validate, and debug AI-generated code with strong engineering judgment to know when to trust AI output and when to intervene
ArcGIS JS development and integration experience
Solid understanding of backend systems, microservice architectures, and distributed systems in Python, Node.js, Java, Go, or C#
Experience designing and maintaining RESTful or gRPC APIs
Solid experience with a major cloud platform (AWS, Azure, or GCP)
Experience with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB)
Working knowledge of CI/CD, infrastructure-as-code, and containerization (Terraform, Docker, Kubernetes)

Preferred Qualifications:

Experience building or deploying LLM-enabled systems, AI agents, or agent orchestration frameworks
Experience designing evaluation and testing frameworks for AI/agent-generated outputs
Familiarity with enterprise AI/agent platforms and tool ecosystems
Front-end experience with React, Angular, or Vue.js for internal tools and dashboards
Experience in Commercial Real Estate, Research, Financial Services, or other data-intensive domains
Experience modernizing legacy systems or migrating platforms to cloud-native architectures

Estimated compensation for this position:

159,100.00 – 238,700.00 CAD per year

This range represents the estimated base salary and actual compensation may differ. Final base salary is determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Some roles and employees may be eligible for discretionary bonuses, benefits, or other compensation.

Location:

On-site –Calgary, AB, Toronto, ON, Vancouver, BC

Opening Type:

Replacement

Job Tags:

Azure Cosmos DB, ElasticSearch

If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

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