Sr. Production Engineer

Required

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 4 years of experience managing reliability, scalability, and availability for large-scale production services with deep expertise in programming (e.g., Python, Go, or C/C++)
• Strong background in networking protocols, Linux/FreeBSD systems, and distributed architecture
• Experience in high-stakes incident management and participation in a 24/7 on-call rotation
• Proficiency in leveraging ITIL frameworks and incident data to drive service maturity through systematic problem management and technical operability reviews
• What Will Make You Stand Out (Preferred Qualifications)
• Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency