Senior Software Engineer (Data Platform Team)

Sysdig

6d•Remote

About The Position

At Sysdig, we believe cloud security isn't a compromise - it's a promise. From the start, our mission has been clear: to help organizations secure innovation in the cloud, the right way. We created Falco, the open standard for cloud threat detection, and continue to lead the cloud security market with runtime insights, open innovation, and agentic Al. Creators of technology trusted by over 60% of the Fortune 500, Sysdig gives teams the real-time clarity to move fast and defend what matters most. Culture matters here. We believe diversity fuels stronger ideas, and open dialogue drives sharper decisions. Recognized as a Best Place to Work and one of Deloitte's fastest-growing companies for the past 5 years, we're here to raise the standard for what cloud security and workplace culture should be. If you have the passion to dig deeper, the desire to challenge convention, and the curiosity to build something better, Sysdig is the right place for you.

Requirements

5+ years in a software engineer role, with experience in a technical leadership capacity
Extensive experience designing, building, and operating large-scale, distributed data processing systems and data pipelines.
Deep knowledge of data architecture, storage, and access patterns
Strong computer science fundamentals in design, data structures, and algorithms
Clean coding and automation practices

Nice To Haves

Analytical approach to take technical decisions in a traffic intensive and distributed architecture.
Experience guiding technical direction and supporting the development of junior engineers

Responsibilities

Own the design and development of features and components for the data platform, focusing on high-throughput data ingestion, transformation, and storage.
Architect and implement robust, distributed, and scalable data processing pipelines in Go to ensure data quality and reliability.
Contribute to the technical strategy and roadmap for the data platform, anticipating future data needs for product features and internal analytics.
Mentor junior and mid-level engineers on the team, and conduct thorough code reviews to ensure quality and best practices.
Participate in an on-call rotation to address urgent operational issues impacting data services.