Senior Full-Stack Engineer: Infrastructure & Distributed Systems

3M HEALTHCARE; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

3M HEALTHCARE is seeking a true full-stack engineer to help build the infrastructure powering enterprise AI automation. You will tackle real-time synchronization, distributed workflows, and API orchestration at scale.

You'll work with Python, React, Postgres, and cloud platforms (GCP/AWS/Azure) in a fast-moving team that values ownership, technical depth, and product thinking. You will own critical components end-to-end, from design through production observability, driving reliability and

Qualifications

• Experience as a full-stack engineer handling complex systems.
• Strong understanding of distributed systems and high-availability design.
• Ability to own features end-to-end from design to production.
• Focus on reliability, observability, and maintainability.

Responsibilities

• Lead real-time bi-directional synchronization initiatives.
• Build and scale distributed workflows and queues.
• Implement API orchestration and enterprise connectivity.
• Develop/maintain large-scale Postgres systems and data pipelines.

Skills

Full-stack engineering

Distributed systems

Product thinking

Observability

Tools

Python

React

PostgreSQL

Cloud platforms

Job description

Overview

Build the infrastructure layer powering enterprise AI automation. Enterprise software integrations are still painfully fragile: workflows break silently, APIs fail unpredictably, systems drift out of sync, and teams waste countless hours maintaining infrastructure that was never designed for real-time operations at scale. For years, most data companies focused primarily on analytics because the underlying integration and operational tooling was too broken, unreliable, or difficult to use for powering critical business operations in production.

We are the platform that powers mission‑critical operations for supply chains, manufacturers, logistics companies, healthcare organizations, financial operations, e‑commerce businesses, and enterprise sales organizations. When our systems run, orders move, invoices sync, warehouses operate, contracts renew, revenue gets recognized, and business workflows execute in real time.

What Makes This Role Different

We solve difficult distributed systems problems involving:

• real‑time synchronization
• queues and event‑driven systems
• distributed workflows
• large‑scale data movement
• API orchestration
• Postgres‑heavy architectures
• unreliable third‑party systems
• EDI and enterprise connectivity
• high‑throughput infrastructure

This Opportunity IS for You If

• You are a true full‑stack engineer
• You enjoy difficult engineering problems
• You care deeply about system quality and maintainability
• You thrive in fast‑moving, high‑ownership environmentsYou enjoy scaling distributed systems
• You think like a product owner, not just an implementer
• You naturally take initiative without waiting for permission
• You want to build infrastructure used by real enterprise customers that power critical operations
• You are extremely ambitious
• You want to work with a very strong technical team

This Opportunity IS NOT for You If

• You only enjoy building simple CRUD applications
• You dislike operational complexity
• You need highly structured environments
• You avoid ownership
• You prefer maintaining existing systems over building new ones
• You think shipping one feature per day is “fast”
• You are uncomfortable with ambiguity or pressure
• You believe scaling infrastructure is mostly solved already

What You’ll Work On

• real‑time bi‑directional synchronization
• distributed retries and failure recoveryqueue scaling and orchestration
• API rate‑limit management
• large‑scale Postgres systems
• workflow execution engines
• observability and debugging tooling
• schema propagation systems
• enterprise connectivity infrastructure
• high‑volume data movement pipelines

Tech Stack

• Python
• React
• Postgres
• GCP / AWS / Azure
• Distributed queues and workflows

What We Value Most

• Ownership
• Technical depth
• Execution speed
• Product thinking
• Communication clarity
• Reliability
• Ambition
• Fast learning speed