Staff Infrastructure Engineer - Data Platform (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Infrastructure Engineer - Data Platform in the United States.

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.

Accountabilities:

As a Staff Infrastructure Engineer - Data Platform, you will:

• 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.

Requirements

To excel in this role, you should have:

• 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.
• Bonus points for experience supporting machine learning platforms or designing large-scale Terraform modules for multi-team enablement.

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.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!