Joist AI - Platform Engineer

• 4–6 years of experience in Platform Engineering, DevOps, or Site Reliability, with a clear focus on building internal tooling. • 4–6 years • Cloud Architecture Mastery: Deep expertise in AWS services (Lambda, RDS, S3, Step Functions, VPC networking) and how to stitch them together securely. • Cloud Architecture Mastery: • Advanced IaC: Proficient in writing modular, dry, and testable Terraform or CloudFormation at scale. • Advanced IaC: • Developer Mindset: You write clean code (Python, Go, or Bash) and approach infrastructure with the same rigor as product software (version control, PRs, testing). • Strategic Thinker: You can identify repetitive developer "pain points" and design automated solutions to solve them permanently. • Strategic Thinker: • Experience we’d be particularly excited about • Platform-as-a-Product: Experience treating internal tools as a product (gathering requirements from devs, documentation, and driving adoption). • Platform-as-a-Product: • FinOps & Scaling: Proven track record of optimizing large-scale cloud spend without sacrificing performance. • FinOps & Scaling: • Security Integration: Experience implementing "Shift Left" security (e.g., Snyk, Trivy) within the developer workflow. • Security Integration: • Interest in ML/LLM Ops: Experience or interest in building platforms specifically for Machine Learning workloads (GPU orchestration, model serving). • Interest in ML/LLM Ops: • Attributes: Exceptional attention to detail, strong analytical and problem-solving skills, and excellent written and verbal communication. • Attributes: • attention to detail • Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). • Education: • You love experimenting • You have experience or interest in machine learning • You have experience or interest in RevOps, sales and marketing roles or software platform • What to expect • What to expect • We conduct a rigorous interview process based on integrity, talent, and drive. We trust our teammates from day one and move quickly to evaluate whether you are fit for the role. The entire interview process typically takes two weeks. Here's what to expect: • A 30 minute Zoom meeting to talk about Joist AI, your background, and answer any questions about the role. • A 30 minute Zoom meeting with another one of our team members to hear more about your experience and how you'd approach working in the role. • A take home project to assess your functional expertise for the role you're applying for. • A 60 minute Zoom call to review your project and answer any outstanding questions.