Markham, On Java + python backend Jobs – 91 Openings This Week

Senior Software Engineer - Ad Infra, Lyft Ads
Lyft —Toronto, ON
- $136,000–$170,000 a year
- Hybrid work
- Computer science
- Computer Science
- Engineering
- Commuter benefits
- Dental care
Senior Back End Engineer (Data Platform)
Forma.ai —Toronto, ON
- $150,000–$190,000 a year
- Java
- Databases
- SQL
- Disability insurance
- Dental care
Quick apply
Azure Cloud and AI Lead - 69858401
Cognizant —Toronto, ON
- $83,500–$95,500 a year
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- Java
- Employee stock purchase plan
- Designated paid holidays
10d
Senior Frontend Engineer
Forma.ai —Toronto, ON
- $150,000–$190,000 a year
- Java
- AWS
- JavaScript
- Disability insurance
- Dental care
Quick apply
Senior Software Engineer, R&D Business Systems
Fivetran —Toronto, ON
- $125,882.00–$151,064.50 a year
- Full-time
- Hybrid work
- English
- Java
- SQL
- Paid time off
- Paid sick leave
Quick apply
Senior Full-Stack Software Engineer - Global AI Platform
Manulife —Toronto, ON
- $113,000–$163,000 a year
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Disability insurance
- Dental care
6h
Engineering Manager, Research & Development
ACV Auctions —Toronto, ON
- $136,000–$171,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Employee stock purchase plan
- Disability insurance
Quick apply
Staff Product Security Engineer, Reviews
Okta —Toronto, ON
- $180,000–$247,500 a year
- Hybrid work
- Java
- C++
- Communication skills
Quick apply
Contact Center AI Platform-Tech Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- CRM software
- Computer Science
- Salesforce
- Tuition reimbursement
- Paid time off
Sr. Software Engineer, Backend
Pinterest —Toronto, ON
- Hybrid work
- Computer science
- Computer Science
- Java

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Atlantis IT group —Toronto, ON
6.Carrying out software analysis, testing, debugging, and update to ensure that applications can be used on all web browsers.
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Junior Software Engineer-Global Payments Engineering
Scotiabank —Toronto, ON
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Product Engineering (Full Stack Developer - Java, Spring Boot & React)
Allstate —Toronto, ON
Good Office program (receive up to $400 back after purchasing office equipment). Write and maintain unit tests and follow TDD practices throughout the…
$80,900–$110,000 a year
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Senior Database Java Developer
Alert Driving —North York, ON
Document and present design, architecture, and technical approaches to aid in code maintenance and code reuse. 7+ years of Java experience.
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Senior Software Engineer - Ad Infra, Lyft Ads

Lyft -
Toronto, ON

Apply Now

Job details

$136,000–$170,000 a year

Qualifications

Computer science
Go
Computer Science
Relational databases
Engineering
NoSQL
Java
Master's degree
Microservices
SQL
Bachelor's
PostgreSQL
Distributed systems
Computer Engineering
APIs
Linux
Kafka
DynamoDB
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 scope 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 riders and drivers.

As a Senior Software Engineer for Lyft Ads - you will work on one of Lyft's newest lines of business focused on building the world's largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys and beyond. For this role we are seeking software engineers who are passionate about backend and data engineering. You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving, measurement and audience platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.

Responsibilities:

Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
Design and implement scalable data models to support analytics, targeting, and measurement use cases.
Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
Participate in architecture discussions and design reviews with an emphasis on performance and reliability.

Experience:

BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
5+ years of industry experience in backend or data engineering roles
Proficiency in at least one backend programming language (e.g., Python, Go, Java)
Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
Experience with Linux.

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 $136,000-$170,000 CAD, 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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java + python backend jobs in markham, on

Senior Software Engineer - Ad Infra, Lyft Ads

Senior Back End Engineer (Data Platform)

Azure Cloud and AI Lead - 69858401

Senior Frontend Engineer

Senior Software Engineer, R&D Business Systems

Senior Full-Stack Software Engineer - Global AI Platform

Engineering Manager, Research & Development

Staff Product Security Engineer, Reviews

Contact Center AI Platform-Tech Lead

Sr. Software Engineer, Backend

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