Staff Platform Engineer

Job not on LinkedIn

🕒 3 days ago

🇺🇸 United States – Remote

💵 $175k - $200k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

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Rockstar

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎯 Recruiter

👥 HR Tech

🤖 Artificial Intelligence

Recruitment • HR Tech • Artificial Intelligence

Rockstar is a full-service recruitment company that leverages a blend of human expertise and artificial intelligence to help businesses hire better and faster at a lower cost. They offer a comprehensive recruitment service for less than $1,500 per role by providing access to a large talent database, fast and efficient candidate reviews, and human screening. Their proprietary AI enables the review of thousands of applications to quickly match candidates to job descriptions, while custom screening calls are conducted by recruiters in the US, UK, or Australia. Rockstar supports hiring across a wide range of professional roles, including sales, marketing, strategy, product, business operations, analytics, data science, software development, infrastructure, finance, and accounting. This flexible approach allows companies to meet strong candidates without long-term commitments, making it a cost-effective solution for teams of all sizes.

📋 Description

• Define and drive the technical roadmap for platform infrastructure, reliability, and scalability initiatives. • Design and review complex system architectures that support company growth and evolving business needs. • Establish engineering standards, best practices, and technical patterns across multiple teams. • Improve system observability, incident response processes, and operational excellence across the platform. • Partner with Engineering, Product, and Design leaders to align technical investments with business priorities. • Mentor engineers and provide technical guidance that elevates engineering capabilities across the organization. • Build and improve backend services, infrastructure tooling, and shared platform capabilities. • Identify technical debt, scalability risks, and operational vulnerabilities before they become business constraints.

🎯 Requirements

• Extensive experience designing and operating large-scale backend platforms and distributed systems. • Deep expertise building, scaling, and modernizing production Django applications. • Expert-level experience architecting and operating cloud environments on AWS. • Proven ability to design resilient, secure, and scalable systems that support significant business growth. • Advanced knowledge of PostgreSQL architecture, performance optimization, and data modeling. • Experience building observability, monitoring, incident management, and reliability practices. • Demonstrated success driving engineering decisions and influencing technical direction across teams. • Exceptional ability to communicate complex technical concepts and develop other engineers.

🏖️ Benefits

• Fully remote position