Senior Staff Backend Engineer
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Shape the technical roadmap for core parts of the product and the underlying infrastructure
Partner with our product and customer‑facing teams to enhance and expand our offering and identify new functionalities and opportunities we should target
Design and build a world‑class cloud platform to help enterprises monitor and analyze their ML models. Scale the platform to process billions of inference events per day and handle state‑of‑the‑art complex ML models (e.g., large language models)
Design enterprise‑grade, scalable APIs and flexible integrations to plug into customers’ ML workflows
Recommend and implement engineering best practices across the entire engineering organization, improve the functionality of existing software, and ensure that the design, application, and maintenance of our software meets quality standards
Take an active role in building a world‑class engineering team. Coach, mentor and support the engineers across the company.
What We are Looking For
Deep knowledge of infrastructure management (AWS / Google Cloud, Kubernetes, or equivalent on‑premises technologies)
Experience in building large‑scale, distributed analytics data processing systems (OLAP) and/or building infrastructure for machine learning pipelines, feature and data stores, and model monitoring.
Experience in tuning system performance, efficiency, reliability
Minimum 12 years of experience
BS/MS/PhD in Computer Science or equivalent areas
Preferably hybrid with 1‑2 times a week in our Palo Alto office or remote on the West Coast
Technical Skills
Proficiency with Python, Celery, RabbitMQ, Postgres, Grafana, JIRA
Experience with a Clickhouse database is nice to have
A deep understanding of machine learning is not required but is nice to have
Someone who values and enjoys mentoring and coaching junior team members
Deep knowledge of engineering best practices and experience scaling an enterprise engineering organization
Pay Pay Range in San Francisco California for this role is $200,000 - $230,000
The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package, benefits, and perks previously outlined. Ultimately, in determining pay, we’ll consider your experience, leveling, location, and other job‑related factors.
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