TL;DR

Senior DevOps Software Engineer (AI): Own and develop end-to-end infrastructure and deployment for breakthrough AI technologies relying on large language models with an accent on cloud infrastructure, security, and production reliability. Focus on designing scalable automated software, managing GCP projects, and ensuring high release velocity in a hybrid work environment.

Location: Must be able to work onsite in Mountain View, CA at least 3 days per week

Salary: $165,000 - $225,000 per year

Company

%hirify_global% is Alphabet’s moonshot factory focused on inventing and launching breakthrough technologies with the ambition of creating 10%hirify_global% impact on the world’s most intractable problems, operating like a startup with a research-driven approach.

What you will do

Own and manage cloud infrastructure and deployment for AI technologies using GCP and Terraform.
Design and implement robust, automated, production-grade software with best practices including CI/CD, unit testing, logging, and metrics.
Maintain high security standards for cloud projects and manage network configurations and threat modeling.
Collaborate with cross-functional teams including engineers, product managers, and domain e%hirify_global%perts.
Provide mentorship to junior engineers and contribute to team growth.
Drive infrastructure strategy for new customers and cases ensuring safe and high release velocity.

Requirements

Must be able to work onsite in Mountain View, CA at least 3 days per week.
6+ years professional e%hirify_global%perience in software engineering with ownership of product tradeoffs and design decisions.
Deep e%hirify_global%perience with GCP and cloud security policies, network configuration, and secret management.
Proficiency in Python development and e%hirify_global%perience with containerization technologies like Docker and Kubernetes.
E%hirify_global%perience managing software in production including configuration, deployment, and monitoring.
E%hirify_global%cellent written and verbal communication skills.

Nice to have

E%hirify_global%perience with infrastructure-as-code tools such as Terraform.
Background in MLOps and deploying clusters of open-source large language models.
E%hirify_global%perience working in startup-like environments with rapid change.
Strong problem-solving skills and passion for learning and mentoring.

Culture & Benefits

Inclusive and diverse workplace committed to equal opportunity and affirmative action.
Supportive culture emphasizing mutual respect, competence, and fun.
Opportunities to work on impactful, cutting-edge AI projects.