Markham, On Python engineer ai & microservices Jobs – 88 Openings This Week

Senior Software Engineer, Marketplace
Lyft —Toronto, ON
- $136,000–$170,000 a year
- Hybrid work
- APIs
- AI
- Python
- Commuter benefits
- Dental care
Software Engineering Lead
S&P Global —Toronto, ON
- $93,000–$151,038 a year
- Azure
- DevOps
- System design
- Paid time off
Oracle Cloud Infrastructure Engineer
TribalScale —Toronto, ON
- Oracle
- DevOps
- Java
Quick apply
Senior Software Engineer
Nucs AI —Toronto, ON
- Full-time
- Hybrid work
- DevOps
- System design
- Databases
Quick apply
Architect – Software Developer
Quantiphi —Toronto, ON
- Remote
- Azure
- Databases
- AWS
Senior Software Engineer
Edgecom Energy —Toronto, ON
- $115,000–$145,000 a year
- Immediate opening
- Hybrid work
- Azure
- DevOps
- Databases
- Dental care
- Vision care
Quick apply
Senior DevOps Engineer
ShyftLabs —Toronto, ON
- $120,000–$140,000 a year
- Full-time
- Hybrid work
- DevOps
- AWS
- APIs
Quick apply
10d
Senior Distinguished Engineer- International Card Tech
Capital One —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
Principal Software Architect
Carbon60 —Toronto, ON
- $180,000–$220,000 a year
- Full-time
- Remote
- Azure
- System design
- Java
- Dental care
- Flexible schedule
13d
Development Manager
Priceline.com —Toronto, ON
- $130,000–$155,000 a year
- Full-time
- Hybrid work
- Oracle
- Computer Science
- Java
- Disability insurance
- Dental care
Principal Software Engineer
ZoomInfo Technologies LLC —Toronto, ON
- Hybrid work
- Computer science
- Computer Science
- Engineering
11d
Senior Backend Developer
ShyftLabs —Toronto, ON
- $100,000–$140,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- SQL
- Dental care
- Vision care
Quick apply
Lead Engineer, Total Fund Management Financing, Public Markets Technology
CPP Investments —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Java
SDET Architect
Carbon60 —Toronto, ON
- $160,000–$180,000 a year
- Full-time
- Hybrid work
- Azure
- Java
- SQL
- Dental care
13d
Manager AI and Applied Research
Thomson Reuters —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Management
- Doctoral degree
- Tuition reimbursement
Manager of Research Engineering, TR Labs
Thomson Reuters —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Tuition reimbursement
2d
Software Developer - Test Automation
Scotiabank —Toronto, ON
- Azure
- Oracle
- DevOps
- Profit sharing
Distinguished Engineer
Capital One —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Senior QA Automation Lead (Java)
Citi —Toronto, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
Senior Backend Developer, Campaigns Team
Movable Ink —Toronto, ON
- $140,000–$180,000 a year
- On call
- Azure
- AWS
- APIs
Quick apply
4d

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python engineer ai & microservices jobs near markham, on

Senior Software Engineer, Marketplace

Lyft -
Toronto, ON

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Job details

$136,000–$170,000 a year

Qualifications

Go
APIs
AI
Model evaluation
Python

Full job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft is looking for experienced software engineers from a variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.

As a Senior Software Engineer on the Marketplace team, you will lead work streams to improve business operations in Lyft's Marketplace. You'll design AI driven data analytics platforms, data pipelines and metric governance systems that our business leaders use on a daily basis to make key strategic decisions. You will partner with business leaders and data scientists across our organizations to enable running the business more efficiently.

Responsibilities:

Help define the roadmap and architecture based on technology and business needs
Drive AI innovation for business analytics and operations
Write well-crafted, well-tested, readable, maintainable code
Have a good grasp and ability to explain the various tradeoffs made in decisions
Participate in code reviews to ensure code quality and distribute knowledge
Lead projects from idea to positive execution
Incorporate considerations for business context and failure modes in your work
Proactively participate in resolving ongoing incidents
Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results
Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices

Experience:

5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go)
AI Experience in Agentic workflows, Model Evaluation, Causal models and Anomaly detection
When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution
You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities
You have experience defining API schemas and developing backend services in a microservices environment
You have a history of going out of your way to help out your fellow engineer to make them more productive

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Apply Now

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python engineer ai & microservices jobs in markham, on

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