Software Engineer - Enterprise Platform

requirements, and drive projects from conception through execution. Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.

REQUIREMENTS Bachelor's degree or higher in Computer Science or related field 5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environments Past experience working with enterprise security, compliance, and privacy

requirements Advanced understanding of distributed systems concepts, cloud architectures, and performance optimization Demonstrated ability to independently manage technical projects, from planning and specification through implementation Excellent collaboration and communication skills, with experience coordinating across functional teams and directly with customers Preferred experience working with AI/ML systems or familiarity with MLOps practices

BENEFITS Competitive

compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the

requirements of the San Francisco Fair Chance Ordinance, where applicable).

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