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Added 1 day ago
RL
Technical Support Engineer – Scientific Instruments
RBR Ltd.
Ottawa, ON
- $60,000 to $70,000 CAD / year
- Full-time
As a Technical Support Engineer – Scientific Instruments at RBR, you will help scientists and engineers around the world reach their research goals. You’ll resolve their questions,…
Added 1 day ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Stacktics will rely on the Head of Data Systems with ownership of the Data Systems function including mentoring and support for our team of engineers, developers, marketing analysts and…
Added 2 days ago
T
Quality Engineer II
TD
Toronto, ON
- Full-time
Hands on testing experience in testing Salesforce applications and configurations
Added 2 days ago
EC
Production Support Engineer
Experis Canada
Toronto, ON
- Contract
Experience in application maintenance and production support.
Added 3 days ago
Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning…
Added 3 days ago
B
Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
- Full-time
We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning…
Added 4 days ago
C(
AI Builder
Clarity (formerly Hiive)
Vancouver, BC
- Full-time
Working collaboratively with our senior engineer to build products that are robust, maintainable, and production-quality - not just prototypes that gather dust.
Added 4 days ago
C
AI Builder
Clarity
Vancouver, BC
- $85,000 to $185,000 CAD / year
- Full-time
Working collaboratively with our senior engineer to build products that are robust, maintainable, and production-quality - not just prototypes that gather dust.
Added 4 days ago
C
AI Builder
Clarity
Vancouver, BC
- $85,000 to $185,000 CAD / year
- Full-time
Working collaboratively with our senior engineer to build products that are robust, maintainable, and production-quality - not just prototypes that gather dust.
Added 4 days ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
Personally build, configure, test, deploy, and support production-grade solutions across the GCP ecosystem.
Added 7 days ago
TC
Application Specialist
TDSB Community Services
Toronto, ON
- Full-time
Demonstrable willingness to validate and challenge AI output rather than pass it through. The Application Specialist's actual job is judgment on top of AI drafts, not manual production of…
Added 7 days ago
R
Salesforce Platform Engineer
RBC
Toronto, ON
- Full-time
We are seeking an experienced Salesforce Platform Engineer to support the design, development, and enhancement of our commercial lending platform built on nCino. You will work closely with…
Added 8 days ago
LC
Sr. Software Engineer (Salesforce), Specialty Health Technology
Loblaw Companies Limited
Brampton, ON
- Full-time
As a Senior Software Engineer (Salesforce), you will be part of the Specialty Health Technology team, building and evolving large-scale Salesforce solutions that support the SHN business.…
Added 8 days ago
M
Senior Mulesoft Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Senior MuleSoft Software Engineer, you will design, develop, and support scalable, secure, and resilient integration platforms that connect enterprise applications, Salesforce, cloud…
Added 9 days ago
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Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
- Full-time
…customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering,…
Added 9 days ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
…customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering,…
Added 9 days ago
BH
Member of Technical Staff
Beacon Holdings
Toronto, ON
- Full-time
…long-term technical direction of that area. This is a Staff Engineer role in everything but name. We run…
Added 11 days ago
Salesforce Technical Lead - Commerce Cloud
NTT DATA Services
Toronto, ON
Salesforce B2C Commerce (SFCC), SFRA, Algolia search in SFCC, ISML, JavaScript, cartridges, Business Manager, OCAPI/SCAPI, REST/SOAP APIs, third-party integrations, payment/order…
Added 11 days ago
Salesforce Production Support Associate
NTT DATA Services
Halifax, NS
The Senior Salesforce Production Support Engineer will work closely with application development teams, Salesforce CoE, infrastructure teams, integration teams, business stakeholders, and…
Added 11 days ago
Production Support Engineer (Salesforce)
Capgemini
Toronto, ON
Provide production support for a portfolio of Client Technology and Global Investment Banking applications (Salesforce, Dealogic, Capital IQ, etc.), ensuring stability, automation, and…
Added 11 days ago
T
Mulesoft Software Engineer II
TD
Toronto, ON
- Full-time
…programming consistent with standards; provide code maintenance and support during testing cycles and post-production deployment and participate in reviewing peer…
Added 11 days ago
V
Senior Software Engineer
Voices
ON · Ontario, Canada
- Full-time
…You’ll collaborate closely with Product, Infrastructure, QA, and Support to ensure solutions are technically sound and aligned with business goals, while proactively identifying…
Added 13 days ago
OI
Senior Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Data Implementation Engineer, reporting to the Manager, Technical Implementations, you will own complex customer implementations end-to-end and act as a technical escalation…
Added 15 days ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a Salesforce Production Support Lead to ensure the operational stability, performance, and continuous availability of mission-critical Salesforce platforms…
Added 15 days ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Stacktics will rely on the Head of Data Systems with ownership of the Data Systems function including mentoring and support for our team of engineers, developers, marketing analysts and…

Beacon Holdings

Member of Technical Staff

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: May 19, 2026

Original job description

About Beacon Software

Beacon is acquiring and operating a portfolio of vertical SaaS companies. Most private equity firms scale by adding people. We are building Beacon to scale by adding software. The thesis is simple. Portfolio operations, value creation, and deal sourcing are bottlenecked by human attention, and the right software platform can lift that ceiling by an order of magnitude.

We are building that platform. A cross-portfolio datalake on open table formats, with a feature store on top that makes the data usable by both people and software. An action layer that runs workflows across three domains: how we run the portfolio, how we grow the portfolio, and how we acquire into it. A feedback loop underneath that captures every action and outcome with stable identifiers. By the next phase of buildout we will have 100+ portfolio companies running on this platform. That is a problem set with serious data scale, real multi-tenant isolation requirements, and very few precedents to copy from.

Beacon has raised $550M+ from investors including General Catalyst, Lightspeed, D1 Capital, CPMG, and the family offices of the founders of Stripe, DoorDash, and Ramp.

About the Role

Members of Technical Staff (MTS) are the senior engineers who build the platform that everything else at Beacon runs on. You will own a piece of the core stack end-to-end: design, implementation, operations, and the long-term technical direction of that area. This is a Staff Engineer role in everything but name. We run flat.

The work is systems engineering at its core. Multi-tenant data infrastructure across very different portcos. Event-driven pipelines that have to be correct under partial failure. Service architectures that have to stay simple as the product surface grows. APIs and SDKs that other engineers - including FDEs out in the field - will build on every day. ML and agentic systems are part of the stack. They sit on top of a foundation that has to be solid first.

This is not infrastructure for its own sake. The platform has to be solid before anything else at Beacon works. That is the job.

What You'll Do

You will own one of these areas end-to-end:

Data platform. The cross-portco data lake on Iceberg with Snowflake or Databricks as the query engine. Per-portco S3 and KMS isolation. The ingestion pipeline from QuickBooks, HubSpot, Salesforce, PostHog, Intercom, Linear, Slack, Gmail, Postgres, Stripe, Zendesk, and our internal tools. The canonical data model that survives contact with very different portcos. The catalog and semantic layer on top so a query like "show me sales across all portcos" actually resolves.
Core services and APIs. The backend services that everything else at Beacon depends on: identity, access control, audit, workflow orchestration, the internal APIs that FDEs and ops engineers build against. The bar here is not novelty. It is correctness, latency, observability, and the kind of API design that ages well.
Multi-tenant isolation. Per-portco data, compute, and credential boundaries. Cross-cloud (AWS and Azure) connectivity. Regional residency for portcos in regulated verticals. This is the unglamorous infrastructure work that determines whether we can onboard portco 50 as fast as portco 5.
Workflow and action runtime. The execution layer that runs operational workflows across the three domains. Typed action surfaces, idempotency, retries, rollback paths, human-in-the-loop approval gates, audit trails. Some workflows are scripted. Some are model-driven. The runtime treats them as variations of the same primitive.
Observability and evals. The harness that tells us whether the system is working: traces, metrics, structured logs, replay infrastructure, regression suites, the ability to safely A/B-test changes across the portfolio. Both for traditional services and for model-driven workflows.
Safety and blast radius. Wrong actions against a portco's customers, revenue, or product are the worst kind of mistake we can make. Designing the autonomy tiers, the kill switches, the per-action-class blast-radius caps, and the audit surfaces is foundational platform work, not an afterthought.

Who You Are

Senior engineering depth. Staff or principal-equivalent. You have built and operated systems that real businesses depend on. You write clean, idiomatic code in at least one of Python, Go, Rust, or TypeScript, and you can work in any of them. You have an opinion on how to structure a service and you can defend it without raising your voice.
Distributed systems intuition. You have lived through enough production incidents to know where things actually break. Idempotency, partial failure, retry semantics, eventual consistency, schema evolution, multi-tenant isolation. These are not concepts you read about. They are things you have debugged at 2am.
Data infrastructure experience. You have built or operated something non-trivial on a modern data stack: Kafka, Spark, dbt, Iceberg, Snowflake, Databricks, BigQuery, or comparable. You understand the difference between a warehouse and a lake, and when each is the right answer.
Platform mindset. You build for the engineer two seats over as much as for the end user. Your APIs are easy to use correctly and hard to use incorrectly. You write the documentation. You make the migration path obvious. You treat developer experience as a feature, not a chore.
Comfortable with ambiguity. The product surface and the scope of the platform are still being defined. You will be making decisions in week 1 that constrain what is possible in year 3. You need to be the kind of engineer who is energized by that, not paralyzed by it.
Interest in modern ML, not necessarily expertise. You do not need to be an ML researcher. You need to be the kind of engineer who can read a paper, build the infrastructure around a model someone else trained, and have an informed opinion on where ML belongs in the stack and where it does not. If you have shipped LLM-driven systems in production, that is a plus, not a requirement.

Bonus Points

Prior Staff or Principal Engineer experience at a high-bar engineering org.
Experience with Iceberg, Polaris, Snowflake, or Databricks at scale.
Multi-tenant SaaS or platform infrastructure background.
Production experience with LLM-driven systems, including evals and observability.
Background in offline RL, contextual bandits, or sequential decision-making (for the applied research workstreams).
Open-source contributions to data infrastructure, observability, or developer tooling projects.

Our Values at Beacon Software

Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time.
Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant.
Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected.
Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth.

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

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More about this job

Responsibilities

You will own the end-to-end design, implementation, and operations of core platform components including data infrastructure, APIs, and workflow runtimes. You will be responsible for the long-term technical direction of the platform to ensure scalability and reliability across a portfolio of companies.

Requirements

Candidates must have senior-level experience in building and operating complex distributed systems and modern data stacks. You should be proficient in at least one of Python, Go, Rust, or TypeScript and possess a deep understanding of multi-tenant isolation and production-grade infrastructure.

Skills

Distributed systems
Data infrastructure
Python
Go
Rust
TypeScript
API design
Multi-tenant architecture
Data lake
Iceberg
Snowflake
Databricks
Event-driven pipelines
Systems engineering
Observability
Workflow orchestration

Visa sponsorship

Not detected in the job text

Keywords

SaaS
Data lake
Iceberg
Snowflake
Databricks
Kafka
Spark
dbt
BigQuery
Python
Go
Rust
TypeScript
Distributed systems
Multi-tenant
API
SDK
ML
LLM
Workflow orchestration
Observability
AWS
Azure
Postgres
Stripe
Salesforce
Systems engineering
Infrastructure
Platform engineering
Staff Engineer

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