USAStaff Software Engineer - Snowhouse
2 дн. назад
236k–339.2k USD / yearUSALead
distributed systemsdata processingdatabase managementscalabilityperformance optimization
Develop and maintain Snowhouse Foundation, 's global distributed data warehouse handling petabyte-scale datasets for core business operations and data science.
О компании
- The Snowhouse Foundation team builds our globally distributed data warehouse, managing vast petabyte-scale datasets that are continuously ingested, processed, and replicated across all environments and external data sources. Snowhouse powers 's core business, engineering, and data science operations while delivering critical customer visibility into global account activities, usage, and resource consumption. The team drives critical investments in core data processing infrastructure, high-performance data export/ingestion, optimized data layout and compliance, and 's system database and applications.
Обязанности
- Technical Leadership: Provide hands-on guidance and code reviews, develop other engineers and raise the quality bar, establish engineering best practices across the team and contribute to the team strategy and future of the platform.
- Technical Execution: Design and implement highly available distributed platforms, pipelines, and data infrastructure components to scale global data processing. Solve hard problems, use AI-assisted engineering responsibly to improve velocity and quality.
- Problem-space Ownership: Lead cross-functional engineering projects from idea inception through implementation and production deployment across multiple quarters and teams. Develop a deep understanding of the underlying user and company needs.
- Cross-Functional Collaboration: Partner closely with product managers, senior ICs, data science teams, and business units to deliver end-to-end data platform capabilities.
- Platform Ownership: Own or co-own the reliability, observability, SLOs, capacity, and durable remediation goals for their problem space.
Требования
- Experience: 12+ years of software development experience in distributed systems, with a strong focus on data warehouse or data infrastructure engineering.
- Cloud Infrastructure: Deep experience developing resilient, large-scale services in public cloud environments (AWS, Azure, or GCP).
- Technical Depth: Demonstrated proficiency in distributed systems architecture and database fundamentals, with a track record of solving complex system design challenges.
- Communication: Excellent technical communication and collaborative problem-solving skills across multidisciplinary teams.
- Bonus Skills: Familiarity with data or ML orchestration systems across diverse architectures.
- Education: BS, MS, or PhD in Computer Science or a related technical field (or equivalent practical experience).
- Every employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.
- is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and .
- How do you want to make your impact?
- For jobs located in the United States, please visit the job posting on the Careers Site for salary and benefits information: careers..com
Другое
- At , we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At , your role isn't just to execute a function, but to help redefine the future of how work gets done.
- Deeply understand the inner workings of and the needs of our users, exhibiting a healthy curiosity for use cases and needs that will inform future technical strategy, anticipating needs rather than reacting to them.
- Be highly productive by leveraging AI-assisted engineering, empowering and creating opportunities for others, and effectively leading at scale.
- Show a natural inclination to partner across teams to deliver improvements on cross-team concerns such as reliability and efficiency.