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Added 2 hours ago
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Senior HPC and Platform Engineer
GeoSoftware
Calgary, AB
- Full-time
We are looking for an experienced HPC and platform engineer to join our Digital Platform team.
Added 2 hours ago
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Senior Software Engineer – Visualization and Front End
GeoSoftware
Calgary, AB
- Full-time
We are looking for an experienced front-end engineer to join our Digital Platform team.
Added 2 hours ago
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Senior Software Engineer – Computational Algorithms
GeoSoftware
Calgary, AB
- Full-time
We are looking for an experienced computational engineer to join our Digital Platform team.
Added 3 hours ago
SG
Software Engineer – Full-Stack (React, TypeScript, Java)
S&P Global
Toronto, ON
- Full-time
…revenue-generating solutions powered by open-source, big data, cloud, and emerging AI capabilities. You will join a collaborative, globally distributed engineering team that values…
Added 3 hours ago
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DevOps Engineer
TD
Toronto, ON
- Full-time
We are seeking a DevOps Engineer to build, maintain, and support modern DevOps platforms on Microsoft Azure, with a strong focus on AKS-based workloads, CI/CD automation, and cloud-native…
Added 4 hours ago
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DevOps Engineer
TD
Toronto, ON
- Full-time
We are seeking a DevOps Engineer to build, maintain, and support modern DevOps platforms on Microsoft Azure, with a strong focus on AKS-based workloads, CI/CD automation, and cloud-native…
Added 7 hours ago
IG
AI Engineer
Insight Global
Toronto, ON
- $50 to $55 CAD / hour
- Contract
The AI Engineer will be supporting a large-scale transformation program. This role sits at the intersection of advanced analytics, AI, and modern data platforms, with a strong focus on…
Added 7 hours ago
SC
Senior Engineer, Cloud Operations
Sleep Country
Brampton, ON
- Full-time
Sleep Country Canada is looking for a Senior Cloud Engineer to plays a key role in ensuring the reliability, performance, and security of Sleep Country’s multi-cloud environment. This…
Added 8 hours ago
SG
Software Engineer – Full-Stack (React, TypeScript, Java)
S&P Global
Toronto, ON
- Full-time
…revenue-generating solutions powered by open-source, big data, cloud, and emerging AI capabilities. You will join a collaborative, globally distributed engineering team that values…
Added 14 hours ago
TC
Senior Data Engineer - Partnership Intelligence
Two Circles
Vancouver, BC
- Full-time
Two Circles is looking for a Lead Data Engineer to join our dynamic KORE Intelligence Platform team. In this role, you'll be a key part of our Partnership Intelligence > Measurement Team…
Added 20 hours ago
TA
Senior Software Engineer
Treasure AI
Vancouver, BC
- $132,500 to $171,000 CAD / year
- Full-time
Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on…
Added 1 day ago
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Site Reliability Engineer
MaintainX (An Autodesk Company)
Remote, Canada
- $88,000 to $195,000 CAD / year
- Full-time
- Remote
We’re looking for a Site Reliability Engineer to help advance MaintainX’s reliability, observability, and developer autonomy as we scale our platform.
Added 1 day ago
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Critical Environment Field Service Engineer - Data Centers
Microsoft
Toronto, ON
- Full-time
Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I FSE, you will perform a key role in delivering the core infrastructure and…
Added 1 day ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc
Brampton, ON
- Full-time
The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting…
Added 2 days ago
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Staff Software Engineer - Full-Stack, Solution Architecture
Blazesoft
Concord, ON
- Full-time
Experience with a public cloud platform (Azure preferred), including compute, identity and access management, and CI/CD pipelines.
Added 2 days ago
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Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
…by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than traditional credit scores can. Our revolutionary fintech…
Added 2 days ago
M
Senior Software Engineer - Credit Commercial Engineering
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is seeking a skilled Senior Software Engineer to contribute to the design and delivery of software solutions on our Credit Commercial Engineering Team. In this role, you will take…
Added 2 days ago
MC
Cloud Platform Engineer – Terraform & Database Infrastructure (36050)
Myticas Consulting
Toronto, ON
- Contract
Cloud Platform Engineer – Terraform & Database Infrastructure
Added 2 days ago
CL
Sr Cloud Network Engineer
Charger Logistics Inc
Brampton, ON
- Contract
We're looking for a Sr Cloud Network Engineer to design, build and run the network that connects our cloud platforms, offices and terminals across North America. Our systems run 24/7 to…
Added 2 days ago
Technical Due Diligence Analyst
IREN
Vancouver, BC
IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN’s platform is underpinned by its expansive…
Added 2 days ago
AS
Full Stack Designer /Developer
Apex Systems
Toronto, ON
- $55 to $80 USD / hour
- Contract
Experience deploying and supporting applications in cloud platforms such as AWS, Azure, or Google Cloud Platform.
Added 2 days ago
I
Technical Due Diligence Analyst
IREN
Vancouver, BC
- Full-time
IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN’s platform is underpinned by its expansive…
Added 2 days ago
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Technology Manager
Skip
Oakville, ON
- Full-time
…implementation of solutions built by your engineering team. We engineer for high scale and low latency, ensuring our location insights operate in near real-time while seamlessly integrating…
Added 2 days ago
S
Application Support Engineer (Front Office)
Synechron
Mississauga, ON
- Full-time
…span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.…
Added 2 days ago
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Senior DevOps Engineer
Pixieset
Vancouver, BC
- Full-time
Typically 5+ years of relevant experience in DevOps, platform engineering, SRE, cloud or systems engineering, or software engineering with substantial infrastructure or delivery ownership.…

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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