Staff Infrastructure Engineer - Data Platform (Remote - US)

Jobgether

63d • $200,000 - $290,000

About The Position

We are seeking a senior-level engineer to lead the design, scaling, and modernization of a real-time data platform that powers high-traffic, data-intensive applications. In this pivotal role, you’ll build the next generation of cloud infrastructure that supports advanced pricing pipelines, ML-driven features, and large-scale streaming systems. You’ll collaborate across infrastructure, data engineering, and ML teams to deliver a reliable, high-performance platform capable of supporting millions of users in real time. This is an opportunity to make a direct impact by shaping the core architecture of an evolving, cloud-agnostic system.

Requirements

• 8+ years of experience designing and scaling distributed systems in production environments.
• Deep expertise with Kubernetes, Kafka/Kinesis, and Terraform in cloud-native infrastructures.
• Strong proficiency in Golang and C++, with a deep understanding of networking fundamentals and system performance.
• Proven experience managing multi-cloud environments and driving cloud-agnostic infrastructure strategies.
• Background in real-time, event-driven systems for consumer-facing products.
• Familiarity with CI/CD pipelines, automated testing, and infrastructure reliability practices.
• Excellent communication and leadership skills with a strong sense of ownership and technical direction.

Nice To Haves

• Experience supporting machine learning platforms.
• Designing large-scale Terraform modules for multi-team enablement.

Responsibilities

• Design and implement real-time data pipelines using Kafka or similar queuing technologies to power key data and ML workflows.
• Collaborate with data engineering teams to integrate live data from core Postgres systems into streaming architectures.
• Define and execute the migration path from Datastream to a queuing-based system.
• Drive the company’s cloud migration strategy from GCP to AWS, using cloud-agnostic tools and infrastructure patterns.
• Develop scalable load testing and stress-testing frameworks to ensure the reliability of pricing and data systems.
• Integrate automated testing into deployment pipelines to improve release quality.
• Work closely with data and pricing engineering teams to define a 6–12 month technical roadmap for shared platform initiatives.
• Build and modularize Terraform infrastructure-as-code frameworks to streamline provisioning across teams.

Benefits

• Competitive salary range between $200,000 and $290,000, plus pre-IPO equity.
• Unlimited PTO for full-time employees with flexible scheduling (except during key operational periods).
• 16 weeks of fully paid parental leave.
• $500 home office allowance to enhance your remote workspace.
• Flexible remote-first culture with high team engagement and collaboration.
• 5% 401(k) match, plus health, dental, and vision insurance for employees and dependents.
• Opportunity to work on cutting-edge data infrastructure within a high-growth, mission-driven company.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees