September 11
🏢 In-office - Bay Area
•Model complex problems and architect large-scale distributed systems. •Design stable and performant APIs for both internal and client-facing products. •Work with Product Managers, AI researchers & Scientists to help shape the long-term vision of our technology and products. •Continually look for ways to improve the SciTech product’s architecture, whether through direct changes or building tools, components, etc. •Promote engineering excellence through technical leadership, knowledge-sharing, and mentorship.
•6+ years of relevant coding experience. •3+ years of expertise designing, building, and scaling distributed systems and big data applications across Data and AI/ML space. •BS or MS degree in Computer Science or a related technical discipline or equivalent experience. •Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.). •Development experience with relational and non-relational databases. •Development experience with streaming technologies. •Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. •Great communication skills and can work seamlessly with technical and non-technical stakeholders. •Skills to be comfortable with ambiguity and are adept at using organizational goals to turn that ambiguity into clear deliverables.
•CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. •Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. •CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them. •Paid time off to volunteer at an organization of your choice. •Funding for select family-forming benefits. •Relocation support for employees who need assistance moving to the Bay Area. •And more!
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