Software Engineer, Platform

Invertops; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Invertops is seeking a platform backend engineer to own the event-sourced job model powering dispatch, billing and inventory. You will design the append-only log, build auditable APIs, and package the stack for on-prem deployments.

You will work on distributed systems with a strong emphasis on correctness, observability, and money-sensitive operations, using TypeScript/Node and Postgres.

Qualifications

• 5+ years building backend systems in production.
• Strong grasp of consistency and idempotency in distributed systems.
• Experience with event-sourced or event-driven architectures.

Responsibilities

• Design and evolve the append-only job event log and projections (billing, dispatch, margin).
• Build idempotent, auditable APIs for supervised automation—propose, validate, approve, apply, with compensating actions.
• Own the private-deployment story: package the stack for on-prem and customer VPC with infrastructure-as-code.
• Write guardrails and evals to keep AI-proposed actions safe on the auto-approve path.

Skills

Backend experience

Data models

APIs

Event-driven

Tools

SQL/PostgreSQL

Job description

The platform team owns the backbone of Invertops: the event-sourced job model that dispatch, billing, and inventory all project from. This is the code that has to be correct—money and schedules depend on it.

You'll work on distributed-systems problems in a domain where the stakes are concrete: idempotent write paths, offline sync from the field, and deployments that run entirely inside a customer's environment.

What you'll do

• Design and evolve the append-only job event log and the projections (billing, dispatch, margin) built on top of it.
• Build idempotent, auditable APIs for supervised automation—propose, validate, approve, apply, with compensating actions.
• Own the private-deployment story: package the stack for on-prem and customer VPC with infrastructure-as-code.
• Write the guardrails and evals that keep AI-proposed actions safe on the auto-approve path.

What we're looking for

• 5+ years building backend systems in production, with real ownership of data models and APIs.
• Strong grasp of consistency, idempotency, and event-driven or event-sourced architectures.
• Comfort with TypeScript/Node or a willingness to work in it; SQL and Postgres-class datastores.
• A bias toward correctness and observability in systems where errors touch money.

Nice to have

• Experience with single-tenant / on-prem or VPC deployments and infrastructure-as-code.
• Exposure to LLM tooling: retrieval, guardrails, and evaluation harnesses.