Member of Technical Staff
AI summary of the role
Staff-level systems engineer to own core platform infrastructure end-to-end at a PE-backed vertical SaaS acquirer.
What you’ll do
- Own a core platform area end-to-end: design, implementation, operations, and long-term technical direction.
- Build cross-portco data lake on Iceberg with Snowflake/Databricks, per-portco S3/KMS isolation, and ingestion pipelines from major SaaS tools.
- Design core services and APIs for identity, access control, audit, and workflow orchestration.
- Implement multi-tenant isolation across AWS/Azure with regional residency for regulated verticals.
What you’ll bring
- Staff or principal-equivalent engineering depth; clean code in Python, Go, Rust, or TypeScript.
- Deep distributed systems intuition from production incidents (idempotency, partial failure, multi-tenancy).
- Hands-on experience with modern data stack: Kafka, Spark, dbt, Iceberg, Snowflake, Databricks, or BigQuery.
- Platform mindset: APIs easy to use correctly, hard to use incorrectly; strong documentation habits.
Technologies
Iceberg · Snowflake · Databricks · Kafka · Spark · dbt · AWS · Azure · S3 · KMS · Python · Go
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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, operati [... source excerpt omitted ...] 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 portc [... source excerpt omitted ...] e 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 op
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