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Sr. Production Engineer, Solutions Engineering

2 months ago
United States
Full-time
Senior
AI Engineer
DevOps and Infrastructure
Ansible AWS Azure Chef Docker Envoy GCP Go Hadoop Kafka Kubernetes Linux MySQL Puppet Python Terraform Unix
Apply Now
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010
View All Jobs 74

Description

  • Design and build AI agents that support production reliability work, including service health analysis, recommendations, migration playbooks, and risk identification.
  • Lead large-scale infrastructure modernization efforts, including Kubernetes adoption and platform transitions.
  • Transform consulting engagements and reliability patterns into reusable platforms, tools, automation, and self-service documentation.
  • Build the knowledge infrastructure for operational agents, including runbooks, incident patterns, migration playbooks, and best practices.
  • Develop software solutions that improve the reliability and operability of large-scale distributed systems.
  • Create tools, frameworks, and automation that reduce operational toil and overhead.
  • Develop meaningful SLIs that provide actionable signals of system health.
  • Automate critical engineering processes to improve deployment safety and speed at scale.
  • Partner with teams to plan and optimize capacity across public and private cloud environments.

Requirements

  • 5+ years of industry experience building and operating large-scale, high-performance distributed systems.
  • Bachelor's degree in Computer Science or related field, or equivalent experience.
  • Strong programming skills in Python or Go.
  • Deep knowledge of Linux/Unix internals.
  • Experience with open source infrastructure such as MySQL, Kafka, Envoy, or Hadoop.
  • Infrastructure as Code experience with tools such as Terraform, Puppet, Chef, Ansible, Docker, or Kubernetes.
  • Experience deploying web applications to cloud infrastructure such as AWS, GCP, or Azure.
  • Experience working with distributed, service-oriented architecture.
  • Preferred: experience developing AI agents for infrastructure automation, operational decision-making, or reliability workflows.
  • Preferred: AI/ML infrastructure experience, including LLM-based systems, model serving, or agentic workflows.
  • Preferred: technical consulting or embedded SRE experience with cross-functional engineering teams.

Benefits

  • Base salary range of $139,764 to $287,749 USD for US-based applicants.
  • Eligible for equity.
  • Remote-friendly working model with in-office collaboration required only 1-2 times every 6 months.
  • No relocation assistance is provided for this role.
  • Access to Pinterest culture and benefits information via the company benefits page.

Interested in this position?

Apply directly on the company website

Apply Now

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