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Added 11 mins ago
Manager, Payroll & Benefits
YMCA of Northeastern Ontario
Sudbury, ON · Greater Sudbury, ON
This job posting is for an existing vacancy and is intended to fill a current position within our organization.
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Access on-the-job training in a continuous learning environment.
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Toronto, ON · Greater Toronto Area, Canada
- $127,956 to $149,967 CAD / year
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Added 12 mins ago
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Added 26 mins ago
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Added 26 mins ago
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Thomson Reuters

Staff Software Engineer - II (KeyCite)

Toronto, ON, Canada
Canada, Toronto, Ontario, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Jan 4, 2027
Experience: 6+ years of experience in designing and delivering complex production software systems.
Posting language: English
Posted: Nov 2, 2026

Original job description

Job Description

As a Staff Software Engineer II at KeyCite, you will lead complex, business-critical engineering initiatives from architecture through production. You will modernise established platforms while maintaining the reliability that customers depend on, and you will set technical direction across teams.

Key Responsibilities

Lead complex engineering initiatives, designing and delivering end-to-end solutions for large-scale, business-critical systems.
Modernize core KeyCite platforms and services using modern architectural patterns without disrupting critical customer-facing products.
Design distributed services, processing systems and APIs that meet demanding standards for performance, availability, scalability and maintainability.
Lead architecture and design decisions across complex systems, balancing near-term delivery with long-term sustainability.
Build scalable data-processing capabilities for large volumes of structured and unstructured legal content and metadata.
Identify architectural constraints and systematically simplify, modernize or replace components, while enabling teams to keep delivering business value.
Assess emerging technologies and architectural approaches based on measurable improvements to scalability, reliability, developer productivity and customer outcomes.

Champion modern practices across design, development, testing, observability, security, deployment and operational ownership.
Establish measurable standards for quality, reliability, security and maintainability.

Work across engineering teams and with Product and Architecture to solve problems that span organizational and system boundaries.
Partner with engineering and product leadership on long-term technical strategy.
Establish patterns and standards that are adopted beyond your immediate team.
Act as the technical authority for complex architecture and engineering decisions.

Mentor engineers and develop senior engineering talent.
Lead technical discussions and design reviews, and raise the engineering bar across the organization.
Communicate complex technical concepts clearly to senior technical and non-technical stakeholders.

Translate business and product requirements into durable technical architectures.
Make pragmatic trade-offs between feature delivery, modernization and technical debt.
Identify opportunities to reuse platform capabilities rather than building bespoke solutions.
Connect technical investment to measurable product and business outcomes.
Recognize the importance of reliability and accuracy in systems that support professional research.

Required Qualifications

6+ years of experience in designing and delivering complex production software systems.
Deep expertise in backend and distributed systems engineering.
Strong experience with cloud-native architectures, preferably on AWS.
Experience designing APIs, services and event-driven architectures.
Experience with large-scale data processing and data pipelines.
Strong understanding of system reliability, scalability, performance and observability.
Experience modernizing complex legacy or long-lived production systems without disrupting existing customers.
Strong programming skills, ideally in Java and/or Python.
Experience with modern engineering practices, including automated testing, CI/CD, infrastructure automation and production monitoring.
Demonstrated ability to influence architecture and technical direction beyond an individual team.
Ability to independently navigate ambiguous, highly complex technical problems.
Strong communication skills, with the ability to explain architectural trade-offs to technical and non-technical stakeholders.
Experience mentoring senior engineers and raising technical standards across teams.

Preferred Qualifications

Experience with high-volume content, publishing, search or information-processing platforms.
Experience with search and information retrieval technologies.
Experience with large-scale metadata or knowledge systems.
Experience with graph or relationship-oriented data models.
Experience building platforms or services consumed by multiple products and engineering teams.
Experience operating highly available, business-critical systems.
Exposure to legal technology, professional information or other domains where accuracy, provenance and reliability are critical.
Familiarity with AI-enabled applications and the backend and data infrastructure that supports them.

New Position: This position is open due to an existing vacancy to support our evolving business needs.

What’s in it For You?

Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.

For Ontario, Canada, the base compensation range for this role is $148,800 CAD - $198,800 CAD.

Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.
This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.


About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com

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More about this job

Responsibilities

Lead architecture and delivery of complex, business-critical systems while modernizing KeyCite platforms and building scalable services, APIs, and data-processing capabilities. Set technical direction across teams, establish engineering standards, mentor senior engineers, and align technical investments with product and business outcomes.

Requirements

Requires at least 6 years of experience designing and delivering complex production software, with deep expertise in backend and distributed systems, cloud-native architectures, APIs, data processing, and system reliability. Candidates should have strong Java and/or Python skills, experience modernizing legacy systems and applying modern engineering practices, and the ability to influence architecture, mentor engineers, and communicate technical trade-offs.

Skills

Backend Engineering
Distributed Systems
Cloud-Native Architecture
AWS
API Design
Event-Driven Architecture
Large-Scale Data Processing
Data Pipelines
System Reliability
Scalability
Performance Optimization
Observability
Java
Python
Automated Testing
CI/CD

Benefits

Flexible Vacation
Company-Wide Mental Health Days
Headspace App Access
Retirement Savings
Tuition Reimbursement
Employee Incentive Programs
Mental Wellbeing Resources
Physical Wellbeing Resources
Financial Wellbeing Resources
Paid Volunteer Days
Hybrid Work
Flexible Work Arrangements
Work From Anywhere for Up to 8 Weeks per Year

Visa sponsorship

Not detected in the job text

Keywords

KeyCite
Thomson Reuters
AWS
Java
Python
Distributed Systems
Cloud-Native Architecture
APIs
Event-Driven Architecture
Data Processing
Data Pipelines
Structured Data
Unstructured Data
Metadata
Search
Information Retrieval
Graph Data Models
Knowledge Systems
Legacy Modernization
Automated Testing
CI/CD
Infrastructure Automation
Production Monitoring
Observability
Security
High Availability
Legal Technology
AI-Enabled Applications
Architecture Design
Technical Strategy

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