Senior Software Engineer - Scalability and Performance

3 days ago

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super.AI

WebsiteLinkedInAll Job Openings

software • AI • automation • unstructured data • data processing

11 - 50 employees

Founded 2017

💰 $12M Series A on 2021-06

Description

• Define, develop and perform performance/scalability benchmarks. • Oversee the system performance lifecycle and identify key metrics for performance improvements. • Efficiently working with various profiling tools to identify performance and concurrency bottleneck, propose and implement optimizations to improve the product. • Mentor fellow engineers • Lead application architecture decisions • Support troubleshooting of customer reported scale and performance bugs • Collaborate with engineers, designers, and product managers • Write well-designed, maintainable & testable code

Requirements

• 5+ years of software engineering experience • Develop solutions to evaluate and improve performance and scalability • You love large complex systems. • Experience in working on distributed systems or a passion for finding edge cases that appear at scale. • Ability to find the root cause of performance bottlenecks with profiling tools • Analyze performance issues and propose/perform application changes • Experience in tackling problems of load, scale, and optimizations of complex large-scale deployments • Expert in distributed computing system and stack • Passionate to optimize the performance bottlenecks and improve the product • Solid foundational knowledge of Java, Python • Familiarity with container frameworks such as Docker and Kubernetes • Experience with the latest machine learning infrastructure developments is a plus • Expert knowledge of HTTP load generation/measurement software • Skilled with web development technology • Broad, general knowledge of internal technologies, such as load balancers, firewalls, and database servers • Expert knowledge of database scalability and profiling (sharding, query optimization, high-performance configuration). • Strong communication skills with peer developers • Team player