Senior Production Engineer, Solutions Engineering

Zigsaw

Senior Production Engineer designing AI agents and managing large-scale distributed systems. Enhancing operational reliability and engineering productivity through innovative solutions and infrastructure modernization.

Posted 6/12/2026full-timeChicago • Illinois • 🇺🇸 United StatesSenior💰 $139,764 - $287,749 per yearWebsite

Tech Stack

Tools & technologies

AnsibleAWSAzureChefCloudDistributed SystemsDockerGoGoogle Cloud PlatformHadoopKafkaKubernetesLinuxMySQLOpen SourcePuppetPythonTerraformUnix

About the role

Key responsibilities & impact

Design and build AI agents that augment production reliability work
Drive large-scale infrastructure modernization with AI-accelerated execution
Transform consulting patterns into scalable platforms
Build the knowledge infrastructure that powers Pinterest's operational agent ecosystem
Develop software solutions to enable reliability and operability of large-scale distributed systems
Build tools and automation to eliminate toil and reduce operational overhead
Build meaningful, insightful and actionable SLIs
Automate critical portions of Pinterest's engineering processes
Manage capacity and performance to help scale our infrastructure

Requirements

What you’ll need

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 - ability to build production-grade platforms, agents, and automation
Deep knowledge of Linux/Unix internals and experience with open source infrastructure (MySQL, Kafka, Envoy, Hadoop, etc.)
Infrastructure as Code experience (Terraform, Puppet, Chef, Ansible, Docker, Kubernetes)
Experience deploying web applications to cloud infrastructure (AWS, GCP, or Azure) and working with distributed, service-oriented architecture
Experience developing AI agents for infrastructure automation, operational decision-making, or reliability workflows (preferred)
AI/ML infrastructure experience (LLM-based systems, model serving, agentic workflows) (preferred)
Technical consulting or embedded SRE experience with cross-functional engineering teams (preferred)

Benefits

Comp & perks

Not specified in the provided information

ATS Keywords

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Hard Skills & Tools

PythonGoLinuxUnixMySQLKafkaEnvoyHadoopTerraformKubernetes

Soft Skills

consultingcross-functional collaborationautomationproblem-solvingdecision-making

Certifications

Bachelor's degree in Computer Science