Lead Software Developer (term)

Full Time
  • Full Time
  • Toronto

University of Toronto



Date Posted: 03/21/2024
Req ID: 36616
Faculty/Division: Faculty of Arts & Science
Department: Dept of Computer Science
Campus: St. George (Downtown Toronto)
Position Number: 00052614

Description:


About us:

The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.



We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration.

At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.

Established in 1964, the Department of Computer Science is ranked among the top computer science departments in the world. Our faculty have been presented with a wide variety of honours and awards over the years, including two Turing Awards, and many other national and international honours. We provide diverse programs and research opportunities while consistently producing high-impact research that is among the most highly cited in computer science.

Your opportunity:

Under the direction of Prof Steve Easterbrook, and in close collaboration with our Lead Developer & Systems Architect, the incumbent is responsible for acting as a lead developer for a major scientific nationwide project funded by the Canadian Foundation for Innovation (CFI). The Data Analytics for Canadian Climate Services (DACCS) project is building a cloud-based platform to facilitate conversion of raw climate data from satellite observations and simulation models into relevant, credible and actionable information products for assessing climate impacts and risks.

A key feature of DACCS is support for creating and sharing analytics workflows alongside the datasets they apply to. DACCS will integrate with existing international climate data services such as the Earth System Grid Federation, while providing additional services tailored to the Canadian context. To build the DACCS platform, the University of Toronto is partnering with Ouranos, CRIM, PCIC, CCCma, Natural Resources Canada, McGill and Concordia Universities.



The Lead Developer plays a critical role in developing and testing components of the DACCS platform. In this role, you will coordinate and oversee software development processes for the U of Toronto team, developing and testing core components of the DACCS platform, while ensuring all components are interoperable and meet scientific and technical specifications.

You will also coordinate with technical leads in each partner organization, and seek opportunities to collaborate with technical communities who build component libraries that might usefully be incorporated into the DACCS platform.

Note: this is a grant-funded term position to December 2024.

Your responsibilities will include:

Analyzing, recommending, and designing highly complex software architecture
Reconciling business requirements with information architecture needs for highly complex system integration
Developing technical application implementation plans
Advising on cost, feasibility and impact of different implementation solutions
Leading and planning IT projects
Building and strengthening relationships with stakeholders and partners of strategic importance
Directing a small group in a limited area, including responsibility for scheduling and/or workflow
Serving as a resource on specific issues to a group of specialists


Essential Qualifications:



Bachelor’s Degree in Computer Science, Engineering or an equivalent combination of education and recent and relevant experience.
Minimum five (5) years of recent and related experience in software development and software product management.
Experience supervising and offering technical advice to a team of software developers.
Demonstrated experience and competency in agile software development and in behavioural and/or test driven design.
Familiarity with geospatial data analysis including large climate and satellite datasets, along with a variety of statistical analysis and machine learning techniques.
Familiarity with Open Geospatial Consortium standards such as NetCDF and Web Processing Service (WPS).
Experience with containerisation (e.g. Docker, Kubernetes) and cloud infrastructures (e.g. OpenStack, AWS).
Strong debugging/bug-tracking/code review/documentation experience.
Advanced programming skills in Python.
Excellent software project management skills.
Advanced skills in Git source control.
Superior problem solving and analytical ability.
Demonstrated sensitivity to organizational priorities with the ability to multi-task.
Excellent communication skills with the ability to articulate and explain technical issues to non-technical users in a clear and precise manner.
Demonstrated ability to work well as a team member and independently.
Demonstrated ability to work in a high-pressure environment.

To be successful in this role you will be:

Accountable
Diligent
Meticulous
Multi-tasker
Organized
Resourceful


Closing Date: 04/02/2024, 11:59PM ET
Employee Group: USW
Appointment Type: Grant – Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 16 – $99,548 with an annual step progression to a maximum of $127,305. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Information Technology (IT)

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

Source

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