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About the Role

Members of Technical Staff (MTS) are senior engineers who build the core platform at Beacon. You will own a piece of the core stack end-to-end, including design, implementation, and operations, shaping the long-term technical direction. This role is equivalent to a Staff Engineer, emphasizing systems engineering for multi-tenant data infrastructure, event-driven pipelines, and service architectures. The platform's solidity is critical for all other Beacon operations.

Responsibilities

Own one of the following areas end-to-end: Data platform, Core services and APIs, Multi-tenant isolation, Workflow and action runtime, Observability and evals, or Safety and blast radius.
Design, implement, and operate a piece of the core platform stack.
Shape the long-term technical direction of your area.
Build systems that real businesses depend on.
Design APIs and SDKs for other engineers to build upon.
Implement ML and agentic systems on a solid foundation.
Ensure correctness, latency, and observability of core services.
Manage per-portco data, compute, and credential boundaries.
Develop the execution layer for operational workflows.
Build observability tools including traces, metrics, and structured logs.
Design autonomy tiers, kill switches, and audit surfaces for safety.

Requirements

Senior engineering depth, Staff or principal-equivalent.
Experience building and operating systems that real businesses depend on.
Proficiency in at least one of Python, Go, Rust, or TypeScript, with the ability to work in any of them.
Experience with distributed systems, including idempotency, partial failure, retry semantics, eventual consistency, schema evolution, and multi-tenant isolation.
Experience building or operating non-trivial systems on a modern data stack (e.g., Kafka, Spark, dbt, Iceberg, Snowflake, Databricks, BigQuery).
Understanding of the difference between a data warehouse and a data lake.
A platform mindset, building for other engineers and prioritizing developer experience.
Comfort with ambiguity and making decisions with long-term implications.
Ability to read ML papers, build infrastructure around models, and form informed opinions on ML's role in the stack.
Prior Staff or Principal Engineer experience at a high-bar engineering organization is a plus.
Experience with Iceberg, Polaris, Snowflake, or Databricks at scale is a plus.
Multi-tenant SaaS or platform infrastructure background is a plus.
Production experience with LLM-driven systems, including evals and observability, is a plus.
Background in offline RL, contextual bandits, or sequential decision-making is a plus.
Open-source contributions to data infrastructure, observability, or developer tooling projects is a plus.

Skills

Python
Go
Rust
TypeScript
Distributed Systems
Data Infrastructure
Modern Data Stack
Kafka
Spark
dbt
Iceberg
Snowflake
Databricks
BigQuery
API Design
SDK Development
ML Systems
Observability
Multi-tenant Architecture
Workflow Orchestration
LLM Systems

Location

Remote

Work Type

Full-time

Experience Level

Senior
Staff
Principal

About the Company

Beacon Software acquires and operates a portfolio of vertical SaaS companies, aiming to scale through software rather than just adding people.
The company is building a cross-portfolio datalake, feature store, and action layer to manage operations, value creation, and deal sourcing.
Beacon has raised over $550M from investors including General Catalyst, Lightspeed, D1 Capital, CPMG, and family offices of founders from Stripe, DoorDash, and Ramp.
Beacon Software's values include Humility, Honesty, Hunger, and Horizon, focusing on building a generational software company over decades.

Equal Opportunity

Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications. AI does not make hiring decisions; every application is reviewed by a human, and all decisions are made by humans. The company is committed to a fair, thoughtful, and equitable experience for every candidate.