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Added 2 months ago
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Senior Full Stack Developer (contract)
Capgemini
Toronto, ON
- Contract
6 to 8+ experience in developing application using both Front end and Back end like Angular, Node Js, Core Java, Spring, Spring boot, REST API etc.
Added 2 months ago
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Full Stack Developer (contract)
Capgemini
Toronto, ON
- Contract
5+ years’ experience in full-stack development with a strong portfolio showcasing successful projects.
Added 1 month ago
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Senior Android Developer
Taiv
Winnipeg, MB
- Full-time
We are looking for a Senior Android Developer to join our growing team!
Added 1 month ago
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Software Engineer, Full Stack
Gigi
Toronto, ON
- Full-time
We're hiring an AI Builder - a full stack software engineer - to join our engineering team in Toronto and own end-to-end feature development for Gigi, our AI agent.
Added 1 month ago
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Software Developer
OceanMD
Toronto, ON
- Full-time
Reporting to the Vice President, Research and Development, we are hiring a Software Developer. As our new Software Developer, you will build and enhance the health technology that helps…
Added 1 month ago
MS
Full Stack – Java Application Developer (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our Credit Valuation Adjustment (CVA) Technology team as an Full Stack – Java Application Developer to drive the design and delivery of next-generation risk…
Added 29 days ago
Staff Software Engineer, Product Risk
Stripe
Toronto, ON
Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders
Added 2 months ago
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Senior Automation Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
Operating within a high-velocity Agile Scrum environment, you will collaborate closely as full-stack automation application developers and with product owners to implement shift-left…
Added 2 months ago
Senior Principal Site Reliability Engineer
Questrade Financial Group
Toronto, ON
Establish and mature observability practices (metrics, logging, tracing, alerting) so that failures are detected proactively and diagnosed quickly across a heterogeneous, multi-stack estate.
Added 1 month ago
Angular or React Full Stack Developer - onsite Mississauga CA
Capgemini
Mississauga, ON
6+ years of professional experience in software development, with a significant track record in full-stack engineering.
Added 1 month ago
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Java Full Stack Developer - React JS - Assistant Vice President
Citi
Mississauga, ON
- Full-time
The position is for a senior full-stack developer with 6-8 years of experience, specializing in building enterprise-scale applications. This role is suited for a strong React-focused full…
Added 1 month ago
Java Full stack Developer
Capgemini
Toronto, ON
· Experience and knowledge with Java, J2EE, Spring, Spring Boot, RESTful APIs, Microservices, and NoSQL/SQL databases.
Added 1 month ago
Java Delivery Manager
Capgemini
Montreal, QC
Own end-to-end delivery of complex, full-stack software products from inception to deployment.
Added 2 months ago
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Full Stack Developer
Oncoustics
Toronto, Ontario
- Full-time
Experience with full stack system design, spanning mobile and cloud
Added 2 months ago
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Apps Dev Tech Lead Analyst
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Backend Java Developer to join our dynamic engineering team. The ideal candidate will be responsible for designing, developing, and…
Added 2 months ago
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Java Full Stack Developer
Iris Software Inc.
Toronto, Ontario
- Full-time
…banking and financial services corporation is looking to hire an Java Full Stack Developer Our direct client is a is a world-leading financial services company, provides consumers,…
Added 3 months ago
KS
Full Stack Developer
Kumaran Systems
Toronto, ON
- Full-time
Seeking a talented and motivated Full Stack Developer to join our technology team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web…
Added 2 months ago
KS
Full Stack Developer
Kumaran Systems
Toronto, Ontario
- Full-time
Seeking a talented and motivated Full Stack Developer to join our technology team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web…
Added 3 months ago
TC
Quality Engineer(Test Automation)
Tata Consultancy Services
Toronto, Ontario
- $90,000 to $110,000 USD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 2 months ago
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Staff Engineer - Toronto
Sokin
Toronto, ON
- Full-time
Proven experience in one or more programming languages, such as Python, Java, C++, or JavaScript - our stack is based on Python, Flask, Fast API, AWS, Angular etc.
Added 3 months ago
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Staff Software Developer, Full Stack
Intuit
Toronto, Ontario
- Full-time
The ideal candidate is an experienced Software Developer who is experienced with Java, TypeScript, React and general full-stack development. This engineer should be full-stack and prepared…
Added 2 months ago
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Backend Java Developer, Assistant Vice President
Citi
Mississauga, ON
- Full-time
Frontend Familiarity: Experience with modern frontend frameworks like React or Angular is highly desirable to facilitate full-stack collaboration.
Added 3 months ago
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Staff Software Engineer - Full Stack AI (Bangkok based, Relocation provided)
Agoda
Toronto, Ontario
- Full-time
As our Staff Full Stack Engineer, you will design and build AI-driven chat experiences that power Agoda’s AI Assistant, trip planning and discovery, customer support flows, and proactive…
Added 3 months ago
KP
Programmer Analyst - Competition ID: 4663
Kwantlen Polytechnic University
Surrey, British Columbia
- Full-time
Programming languages may include: SQL, PL/SQL, T-SQL, C/C++, Java, Perl, PHP, Shell scripting, AWK, and PowerShell.
Added 1 month ago
Senior Software Engineering Lead - Landmark
Halliburton
Calgary, AB
Deep proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React, Angular, or Node.js), with a track record of delivering production software in that stack

Stripe

Staff Software Engineer, Product Risk

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Sep 4, 2026

Original job description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product - we enable Stripe to confidently run, measure, and grow the business by making accurate information easy to access. We curate and maintain high-quality data warehouses and pipelines that serve as the authoritative foundation for product and financial activity across Stripe, powering analytics, ML capabilities, agentic workflows, and merchant-facing data interfaces. Beyond building data, we act as the internal experts in data technologies and partner with Data Platform to deliver high-quality, low-friction data processing frameworks. We also serve as the bridge between data producers and data consumers - championing best-in-class data engineering practices and guiding product teams on event-driven data API modeling - so that every team at Stripe can build, decide, and grow from a trusted, well-engineered data foundation.

What you’ll do

We're looking for a person who could contribute to the team by solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.

Responsibilities

Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success
Partner with our recruiting team to attract and hire top talent
Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency
Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders
Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data
Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion
Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

This is a Staff-level role - that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions
A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework
An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases
Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs
Thrive with high autonomy and responsibility in an ambiguous environment
Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment

Preferred qualifications

Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud - experience with all or some of these tools is a huge plus
Influencing open-source contributions
Experience creating and maintaining data marts / warehouses to power business reporting needs
Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams
Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions
Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide

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More about this job

Responsibilities

Lead a team of engineers to deliver scalable, reliable data pipelines and manage the lifecycle of critical data infrastructure. Collaborate with cross-functional teams to improve canonical datasets and leverage AI/LLM technologies to solve complex data problems.

Requirements

Requires 10+ years of experience in building data systems and leading engineering teams. Candidates must possess strong proficiency in distributed data frameworks, backend programming languages, and SQL.

Skills

Data Engineering
Data Pipelines
Distributed Systems
SQL
Scala
Java
Go
Airflow
Spark
Kafka
Flink
Data Warehousing
AWS
Machine Learning
Leadership
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Stripe
Financial Infrastructure
Data Warehousing
Airflow
Spark
Kafka
Flink
Iceberg
Change Data Capture
Pinot
Trino
AWS
Scala
Java
Go
SQL
Machine Learning
LLM
Data Pipelines
Distributed Systems
Data Quality
API Modeling
Event-driven
Software Engineering
Mentorship
Data Infrastructure
Cloud Computing
Data Marts
Architecture

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