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Added 1 month ago
UR
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
- Full-time
You’ll partner with cross-functional teams like Information Security, Engineering, Risk, Legal and Compliance teams to define and agree on AI platform controls, implement those controls…
Added 1 month ago
B
Software Engineer - Testing Frameworks
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers.
Added 1 month ago
Senior Software Verification and Validation Engineer - Medical Device
MMR Consulting
Vaughan, ON
We are seeking an experienced Senior Software Verification and Validation (V&V) Engineer to support the development, integration, verification, and validation of medical devices, diagnostic…
Added 1 month ago
QI
Forward Deployed AI Engineer
Qureos Inc
Toronto, ON
- Full-time
We’re looking for a AI Deployment Engineer with 3–6 years of experience to work closely with portfolio businesses, understand their operational challenges, and build production-grade AI and…
Added 1 month ago
C
Lead Applied Value Engineer
Celonis
Field, BC
- Full-time
As an Senior Applied Value Engineer (EAM) you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers,…
Added 1 month ago
Senior Software Verification and Validation Engineer - Medical Device
MMR Consulting
Vaughan, ON
We are seeking an experienced Senior Software Verification and Validation (V&V) Engineer to support the development, integration, verification, and validation of medical devices, diagnostic…
Added 1 month ago
KD
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
- Other
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 1 month ago
KD
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Digital Solutions
Montreal, QC
- Other
We are seeking an AI Engineer with deep technical expertise and a passion for cutting-edge innovation in artificial intelligence and machine learning. As part of our AI & Advanced Analytics…
Added 1 month ago
R
AI Engineer- EN
RBC
Montreal, QC
- Full-time
The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to…
Added 1 month ago
TT
Software Engineer III
trane technologies
Montreal, QC
- Full-time
…BrainBox AI, Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether…
Added 1 month ago
A
Staff Marketing Technology Engineer
Absorb
Remote, Canada
- Full-time
- Remote
“As our Marketing Technology Engineer, you’ll do more than keep our data platform humming - you’ll build the AI applications and agents that put that data to work, automating how our…
Added 1 month ago
BC
Associate or Vice President Full Stack Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 1 month ago
S
Test Development Engineer
Sanmina
Ottawa, ON
- Full-time
The Test Development Engineer role will be a key contributor in defining, developing, and deploying high quality, automated Functional Test (FT) and System Test solutions for complex…
Added 1 month ago
RB
AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to…
Added 1 month ago
C
Quality Engineering
CGI
Toronto, ON
- Full-time
We are seeking an experienced Quality Engineer (QE) with strong hands-on functional testing expertise to support complex enterprise applications. The ideal candidate will have experience…
Added 1 month ago
C
QA Engineer - Data, ETL and API Testing
CGI
Toronto, ON
- Full-time
We are looking for a skilled QA Engineer with experience in data validation, ETL testing, API testing, and cloud-based data platforms. The successful candidate will bring strong analytical…
Added 1 month ago
CI
Linux Desktop Engineer
Celestica International LP
Toronto, ON
- $89,355 to $124,779 CAD / year
The Linux Desktop Engineer will own the design, deployment, configuration, and structural maintenance of Celestica's high-performance Linux computing platform. This role directly supports…
Added 1 month ago
H
Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
ON · Ontario, Canada
- $60 to $75 CAD / hour
- Contract
You will work with technologies such as React, TypeScript, Node.js/Python/.NET, Azure, Terraform/Bicep, and GitHub Actions to deliver enterprise-grade solutions while helping establish…
Added 1 month ago
G
Staff Software Engineer, Merchant Shopping Growth and Insights AI/ML
Google
Waterloo, ON
- Internship
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Added 1 month ago
TL
Senior or Staff Software Engineer, Data Platform (Canada)
TRM Labs
Canada
- Full-time
The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's…
Added 1 month ago
JG
Security Researcher Engineer
J&M Group
Toronto, ON
- Full-time
Strong programming skills in Python, Java, Node.js, Go, C/C++, with experience in LLMs, AI agents, tool calling, orchestration frameworks, APIs, cloud, containers, and security automation.
Added 1 month ago
N
Member of Technical Staff 3- DataHub
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 1 month ago
Embedded Software Engineer
Analog Devices
Toronto, ON · Vancouver, BC · Canada, Toronto
As an Embedded Software Engineer Intern, you will gain hands-on experience developing software and firmware for embedded systems that power real-world applications. Working alongside…
Added 1 month ago
Embedded Systems Software Engineer
indie
Toronto, ON
The Embedded Systems Software Engineer will be responsible for the design, implementation, and definition of validation plans for various software modules running on a multi-processor…
Added 1 month ago
R
AI Engineer
RBC
Toronto, ON · Montreal, QC
- Full-time
The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to…

TRM Labs

Senior or Staff Software Engineer, Data Platform (Canada)

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 23, 2026

Original job description

Build a Safer World.

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure.

The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.

The Impact You Will Have Here

Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

What We’re Looking For

Bachelor's degree (or equivalent) in Computer Science or a related field.
A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
Versatility that spans the entire spectrum of data engineering in one or more of the following areas:
- In-depth experience with data stores and engines such as Iceberg, Trino, BigQuery, and StarRocks, and Citus.
- Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc.
- Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
- Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
- Proven ability in loading, querying, and transforming extensive datasets.

Learn About TRM Speed In This Position

Build a scalable engine to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc. Enabling tasks to be faster next time and reducing dependency on a single person!
Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months!
Identify first version, a.k.a., "skateboards" for projects. For instance, building observability dashboard within a week and later gathering feedback from stakeholders to identify more needs or bells & whistles to add to the dashboard.

Application Instructions

If you’re interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team.

Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your qualifications for the role.

If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure you’re considered.

What To Expect From Our Interview Process

Our process is designed to understand how you think, solve problems, and deliver impact, while giving you the opportunity to evaluate TRM. Most interview processes include a case study, AI skills assessment, and Leadership Principles interview.

Recruiter Intro: Explore your experience, motivations, and alignment with the role.
Hiring Manager: Dive deeper into your relevant experience, skills, and impact.
First Round: Typically 1–2 interviews focused on the skills most critical to the role.
Final Round: Typically 3–5 interviews to go deeper on your craft, problem-solving, and alignment with TRM.
References: We’ll speak with former colleagues who can provide perspective on your work and impact.
Offer: If it’s a mutual fit, your recruiter will walk you through your offer and answer your questions.
Welcome to TRM: Once you sign, we’ll get you ready for your first day and onboarding.

Your recruiter will share your specific interview plan and preparation guidance along the way.

Learn more about interviewing at TRM

Life at TRM

We are building a safer world. That promise shows up in how we work every day.

TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.

Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.

At TRM, You Should Expect

Priorities and targets to change quickly as we experiment and iterate
Work that often requires operating with a high degree of ambiguity
A high level of personal ownership and accountability
Close collaboration across teams and functions
Frequent, high-touch communication
Creative problem solving and out-of-the-box thinking
A pace that rewards urgency, adaptability, and outcomes

This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.

We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.

At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more about Interviewing at TRM

AI Fluency at TRM

AI fluency is a baseline expectation at TRM.

We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.

At TRM, AI Fluency Means You Are Among The Top 10 Percent Of Operators In Your Function In How You Apply AI To

Accelerate repeatable workflows
Structure and solve problems
Improve output quality
Increase speed and leverage

You will be evaluated on applied AI fluency during the interview process.

Leadership Principles

We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.

Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.
Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset - giving and receiving feedback to make the team stronger.

Join our Mission

At TRM, we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply - we hire for slope, judgment, and the will to learn fast.

TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Learn more about building tools for defenders.

Privacy Policy And Additional Information

By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy.

We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM.

Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law.

If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com.

To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.

Recruitment agencies

TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Learn More: Company Values | Interviewing | FAQs

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More about this job

Responsibilities

Build and operate highly available data services, large-scale ETL pipelines, and data models that process petabytes of blockchain activity and support sub-second queries. Deploy and monitor database clusters, automate scaling and maintenance, and collaborate with data scientists, engineers, and product managers to improve TRM’s products.

Requirements

A bachelor’s degree or equivalent in Computer Science or a related field and at least five years of hands-on experience architecting distributed systems and delivering projects to production are required. Candidates should have strong Python and SQL or SparkSQL skills, broad data engineering experience, and familiarity with data stores, orchestration, streaming, and cloud infrastructure tools.

Skills

Python
SQL
SparkSQL
Distributed Systems
Data Engineering
ETL Pipelines
Data Modeling
Iceberg
Trino
BigQuery
StarRocks
Citus
Airflow
DBT
Spark
Kafka

Visa sponsorship

Not detected in the job text

Keywords

Blockchain
Data Platform
Data Engineering
Distributed Systems
Python
SQL
SparkSQL
ETL
Petabyte-Scale Data
Real-Time Data Processing
Data Modeling
Iceberg
Trino
BigQuery
StarRocks
Citus
Airflow
DBT
Apache Spark
Kafka
Flink
Public Cloud
Docker
Terraform
Kubernetes
Datadog
Database Clusters
High Availability
Performance Monitoring
AI Fluency

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