368,634open jobs
9,437companies
50,578added this week
Browse all
Salary
$158k – $257k per year
Location
In office (Toronto)
Seniority
Staff · 7+ years exp
Overview
Company
Impact
Profile match
Braze is a cloud-based customer engagement platform that helps brands deliver personalized, data-driven messaging across multiple digital touchpoints. Founded in 2011 (originally as Appboy) and publicly traded on NASDAQ (BRZE), the company specializes in real-time lifecycle marketing and cross-channel orchestration.

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

WHAT YOU'LL DO

Core data objects are at the base of Braze's product offering and power our industry-leading customer engagement tool. The Core Objects team owns our customers' most valuable data structures - the foundation that enables them to use Braze most effectively and implement their most innovative strategies.

The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team’s ability to deliver high-quality results more efficiently.

We're looking for a Staff Fullstack Engineer to join the Core Objects team as a hands-on technical leader. You will create and own complex systems end to end, from the data model and the ingestion path through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will help decide what gets built, not only how. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include:

  • Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time, including extending our high-scale ingestion pipeline to ingest new and advanced data objects
  • Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it
  • Own Core Systems: take ownership of the complex backend systems behind Braze's core data objects, continuously improving their performance, reliability, and cost-effectiveness
  • Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations
  • Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure core data systems are effectively integrated and aligned with business objectives
  • Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate
  • Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality

WHO YOU ARE

  • Extensive Software Engineering Experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems
  • Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did
  • Systems at Scale: proven track record of building foundational data-driven systems at scale - whether streaming, real-time pipelines, or large-scale data platforms
  • Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives
  • Strong Fundamentals: deep understanding of software design, data structures, and algorithms
  • Self-Starter: great communication and organizational skills, with a history of thriving in team environments

Bonus:

  • Languages/Frameworks: familiarity with Ruby, Ruby on Rails, React, Go, and SQL/NoSQL databases
  • Database Experience: previous experience with MongoDB, Snowflake, or other data lake solutions
  • Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure)
  • Architecture: experience with distributed systems, API design, monitoring, and best practices
  • Passionate about customer experience

For candidates based in Canada, the pay range at the start of employment for this position is expected to be between CA$ 220,000 and CA$ 359,213/year, with an expected On Target Earnings (OTE) between CA$ 244,000.00 and CA$ 298,400/year (including performance-based or variable compensation (bonus or commission). Your particular offer may vary depending on multiple individual factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

WHAT WE OFFER

Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.

From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:

  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching 
  • Employee Resource Groups that provide supportive communities within Braze
  • Collaborative, transparent, and fun culture recognized as a Great Place to Work®

ABOUT BRAZE

Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.

The company has been consistently recognized as a Leader in marketing technology by industry analysts, and was named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026. Braze was also named a 2026 Best Places to Work by Built In, a 2025 America’s Greenest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. 

The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.

OUR AI-POWERED BRAZE RECRUITMENT PROCESS

At Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. 

This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process.

Depending on where you are located, you may have the right to request further information about how AI is used in our recruitment process, to opt out of AI-assisted review, to request a manual review of any decision made or to contest a decision. 

Please contact us at [email protected] for any requests or questions. To find out more about our hiring process, check out this page.

Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)

Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. Please submit any such request to our Talent Acquisition team at [email protected] promptly after applying. A summary of the most recent bias audit results for such tool is available here.

Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,634 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Toronto
DevOps Engineer 2 1 day ago
$18k – $52k per year (Estimated) • In office • 3+ years exp • Bengaluru
Java
Python
Databases
Amazon Redshift
Apache Kafka
ElasticSearch
Redis
DevOps
Amazon EC2
Amazon EKS
ArgoCD
AWS
CI/CD
Docker
GCP
Grafana
Jenkins
Kubernetes
New Relic
Opsgenie
Prometheus
Terraform
Ubuntu
Amazon S3
IAM
Cybersecurity
Threat Modeling
Apply
$68k – $85k per year • In office • Full-Time • Master's Degree • San Jose
Python
AI/ML
AI Agents
DevOps
Amazon EC2
AWS
AWS Lambda
Bitbucket
CI/CD
CloudFormation
Docker
Git
Kubernetes
Terraform
Amazon S3
IAM
HPC
Cybersecurity
Least Privilege
Apply
$185k – $260k per year • Remote • Full-Time • 8+ years exp • Bachelor's Degree
DevOps
AWS
CI/CD
GCP
Kubernetes
GitHub
Cybersecurity
Clair
Dependabot
OWASP Top 10
OWASP ZAP
Snyk
Trivy
Apply
Cloud Engineer (AWS) 6 hours ago
In office • Full-Time • 5+ years exp • Bachelor's Degree • Dalian
Python
DevOps
AWS
CI/CD
CloudFormation
Docker
FinOps
GitHub Actions
Kubernetes
Terraform
GitHub
Apply
$20k – $50k per year (Estimated) • In office • Full-Time • Tomsk
C++
Go
Java
Kotlin
Databases
Apache Kafka
ClickHouse
ElasticSearch
DevOps
Jaeger
Kubernetes
Prometheus
SLI/SLO/SLA
Apply
$158k – $257k per year • Equity • In office • 7+ years exp • Vancouver
Go
Ruby
SQL
Ruby
Ruby on Rails
Databases
Snowflake
AI/ML
AI Agents
DevOps
AWS
Azure
GCP
Kubernetes
Apply
$75k – $159k per year (Estimated) • Equity • Remote • Full-Time • 5+ years exp • Vancouver
Java
Python
Ruby
Ruby
Ruby on Rails
Databases
Apache Kafka
PostgreSQL
Redis
AI/ML
AI Agents
DevOps
Ansible
AWS
Azure
Chef
Datadog
GCP
Grafana
Kubernetes
Nginx
PagerDuty
Prometheus
Terraform
Apply
$75k – $159k per year (Estimated) • Equity • Remote • Full-Time • 5+ years exp • Toronto
Java
Python
Ruby
Ruby
Ruby on Rails
Databases
Apache Kafka
PostgreSQL
Redis
AI/ML
AI Agents
DevOps
Ansible
AWS
Azure
Chef
Datadog
GCP
Grafana
Kubernetes
Nginx
PagerDuty
Prometheus
Terraform
Apply
$73k – $140k per year (Estimated) • Equity • In office • 5+ years exp • Bachelor's Degree • London
Python
SQL
AI/ML
AI Agents
CatBoost
Ignite
Keras
Pandas
Reinforcement Learning
Scikit-learn
TensorFlow
XGBoost
PyTorch
Mobile
Braze
DevOps
CI/CD
GCP
Git
Kubernetes
Terraform
Analytics
ETL/ELT
Apply
$134k – $240k per year • Equity • In office • 5+ years exp • Toronto
Java
Kotlin
Databases
Apache Kafka
AI/ML
AI Agents
Apply
$80k – $190k per year • In office • Toronto
Kotlin
AI/ML
AI Agents
Human-in-the-Loop
Mobile
Android SDK
Jetpack Compose
DevOps
CI/CD
Apply
$80k – $175k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Toronto
AI/ML
Text-to-Speech
DevOps
CI/CD
Apply
ML/AI Developer 2 hours ago
$65k – $140k per year • In office • Full-Time • 4+ years exp • Bachelor's Degree • Toronto
AI/ML
Text-to-Speech
DevOps
CI/CD
Apply
$70k – $150k per year • Remote/Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • Toronto
MATLAB
Python
SQL
Analytics
Tableau
Apply
$80k – $175k per year • In office • Full-Time • Toronto
Python
AI/ML
AWS Bedrock
Claude
Copilot
LLM
Prompt Engineering
RAG
Context Engineering
AI Agents
DevOps
AWS
CI/CD
Splunk
GitHub
Apply
See all jobs
This is one of many
368,634 more open roles from verified company boards, updated every day.