Senior Software Engineer - Data Platform Team

Eightfold•Santa Clara, CA

14h•$130,750 - $181,000•Hybrid

About The Position

Join Eightfold’s core Data Platform team to design, develop, and maintain the large-scale software platforms that serve millions of users globally. In this critical role, you will leverage cutting-edge technologies to work on complex, high-performance distributed systems, ensuring our platform is resilient, scalable, and the foundational power for our entire product suite.

Requirements

Experience: 3-6+ years of professional experience in backend development.
Technical Expertise:
Expertise in building and optimizing high-performance, high-throughput systems.
Proficiency with core backend technologies including AWS, Python, and the Flask Framework.
Strong foundational understanding of distributed system design principles.
Proven experience with cloud platforms (AWS, Azure, GCP).
Mindset & Skills:
Excellent analytical and complex problem-solving skills, particularly with data analysis.
A proactive attitude with a strong sense of ownership to rigorously chase down complex problems to the root and deliver permanent fixes.
Ability to thrive in a fast-paced environment, handling context-switching effectively, and a genuine desire to solve real Customer problems.
Commitment to high-quality code and a drive to ship features quickly and reliably.

Responsibilities

Platform Architecture & Design: Lead the design and evolution of our core data platform architecture, focusing on building distributed and resilient systems with built-in features for auto-scaling, fault tolerance, horizontal scalability, and load balancing.
Performance Engineering: Drive the scaling, optimization, and innovation of the Data Platform. This includes analyzing data processing workflows, implementing caching mechanisms, fine-tuning database queries, and proactively addressing performance bottlenecks for maximum efficiency and responsiveness.
Feature Expansion & Innovation: Continuously extend the platform's capabilities by staying current with industry trends and emerging technologies. Conduct research and development for new data processing techniques and collaborate closely with stakeholders to implement features that meet evolving business and user needs.
System Operations: Diagnose and resolve complex problems within our distributed systems environment and support the seamless deployment and operation of our products across various environments.
Cross-Functional Collaboration: Partner with Engineering, Operations, Analytics, Marketing, and Business teams to ensure successful, end-to-end product development and delivery.
Cloud Stack Management: Work across major cloud platforms, specifically AWS and Azure.