Software Engineer (Infrastructure)

• We’re hiring a Senior Software Engineer (Infrastructure) to be a technical driver across teams
• You’re the flywheel that underpins discrete teams, making all infrastructure feel continuous
• You’ll tackle ambiguous problems across our full infrastructure stack and partner closely with the Backend Platform, Conversational Video Interface, and Research team
• Work across across teams to own and extend our GPU infra as well as our traditional cloud infra (AWS)
• Work closely with our external infrastructure partners to ensure stability and reliability for GPU deployments and GPU availability
• Empower other engineers to move fast by building amazing developer experiences for setting up new systems

Benefits

• Comprehensive medical, dental and vision coverage for employees and their families, with 100% of monthly premiums paid by Tavus
• Unlimited paid time off, as well as parental and pawental leave
• Flexible hours
• Remote-friendly, with teams at home or in co-working spaces across the globe
• Yearly stipend for you to spend on any learning materials (i.e. newsletters, online courses, etc.)
• Company retreats
• Generous gear stipend
• Debate and feedback are cornerstones of our culture
• Frequent in person meet ups
• Progressive, open-minded meritocracy
• Team members from diverse backgrounds – we’re looking for culture creators, not culture fits

• You consider AWS your second home. You’re comfortable spinning up new services and building simple repeatable processes for others to leverage
• You have incredibly communication skills and can communicate complex technical ideas clearly to both technical and non-technical team members
• You’re a scrappy infrastructure generalist who has seen it all
• You thrive in an ambiguous and fast changing space
• You’ve worked with GPU cloud providers and understand what’s needed to build reliable systems on top of them
• You bring a senior mindset: you set direction, own decisions, and get things over the finish line
• Experience with GCP
• Experience with video streaming infrastructure
• Broad knowledge of generative AI
• Experience working with LLMs
• Experience with EKS/K8S
• If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch