Software Engineer, Distributed Systems ($180K - $320K + Equity) AI-Powered Marketing Platform

CoffeeSpace; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

CoffeeSpace is seeking a distributed systems engineer to power the syncing engine across multi-cloud and multi-region environments. You’ll tackle performance, scalability, and reliability challenges to enable real-time data activation for customers and internal teams.

The role emphasizes ownership and direct collaboration with engineering teams, with a focus on building scalable, low-latency data syncing for large volumes of customer data.

Qualifications

• 7+ years of experience in distributed systems engineering.
• Expertise in performance optimization and troubleshooting.
• Experience with multi-cloud and multi-region infrastructure.
• Ability to work autonomously and take ownership of projects.

Responsibilities

• Optimize sync speed for data transfers to destinations like Facebook and Snapchat.
• Develop real-time syncing capabilities, including support for streaming sources like webhooks and queues.
• Address scalability and reliability challenges to support rapid growth.
• Enhance the Personalization API for real-time personalization use cases with low latency.
• Extend multi-region and multi-cloud backend to support data residency requirements.

Skills

Distributed systems engineering

Performance optimization

Troubleshooting

Multi-cloud infrastructure

Autonomous ownership

Tools

Webhooks

Message queues

Job description

This role is being recruited by CoffeeSpace on behalf of an anonymous AI-powered marketing platform that enables businesses to activate customer data directly from their data warehouse.

We’re identifying a small number of exceptional distributed systems engineers from our network. If there’s a strong fit, we’ll introduce you directly to the engineering team.

Location: United States or Canada / Remote

Employment type: Full-time

Visa: Visa sponsorship available; can sponsor most visas

About the company

This company provides a marketing platform built on a Composable Customer Data Platform (CDP), allowing businesses to leverage their own data warehouse for customer data activation. Founded in 2018, the company has grown to a team of 579 and has raised $332M in funding. The platform is used across industries such as AI, B2B, data, and marketing.

About the role

You will work on the systems that power the syncing engine, which is crucial for both customers and internal engineering teams. This role involves tackling challenges in distributed systems, performance optimization, and troubleshooting to enhance the capability to handle large volumes of customer data. You will work on a multi-cloud and multi-region infrastructure, supporting a global customer base.

What You’ll Do

• Optimize sync speed for data transfers to destinations like Facebook and Snapchat
• Develop real-time syncing capabilities, including support for streaming sources like webhooks and queues
• Address scalability and reliability challenges to support rapid growth
• Enhance the Personalization API for real-time personalization use cases with low latency
• Extend multi-region and multi-cloud backend to support data residency requirements

Why This Role Is Compelling

• Work on a platform that directly impacts how businesses activate customer data
• High levels of ownership and autonomy in project delivery
• Influence over team and company direction
• Opportunity to solve complex scaling problems directly with customers

The Ideal Candidate

• 7+ years of experience in distributed systems engineering
• Expertise in performance optimization and troubleshooting
• Experience with multi-cloud and multi-region infrastructure
• Ability to work autonomously and take ownership of projects

This is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.