Software Engineer, Product Infrastructure
Field AI · Irvine, CA
Posted 4mo ago · first seen by the radar 6d ago · last checked on the employer's board 4d ago
Onsite · Full time
We are looking for an experienced infrastructure engineer to help build and operate the internal platform systems that power engineering and production workloads across the company.
This role focuses on Kubernetes infrastructure, deployment automation, cloud platform engineering, observability, and production reliability. You’ll work closely with software engineering teams to improve developer experience, deployment velocity, and operational scalability across the organization.
What You Get to do:
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Design, deploy, and operate cloud infrastructure on AWS using infrastructure-as-code tooling such as AWS CDK and Terraform
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Build and maintain Kubernetes platforms and supporting infrastructure across cloud and internal environments
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Develop and improve CI/CD systems, deployment workflows, and GitOps tooling using GitHub Actions and ArgoCD
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Improve reliability, scalability, observability, and operational maturity across distributed systems and data pipelines
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Debug and resolve production issues spanning application, infrastructure, networking, and deployment layers
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Partner with engineering teams to improve developer productivity, deployment velocity, and operational efficiency
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Implement monitoring, alerting, autoscaling, and incident response best practices for production systems
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Help define infrastructure standards, deployment patterns, and operational best practices as systems evolve
What You Bring:
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10+ years of experience in infrastructure engineering, platform engineering, production engineering, or DevOps-focused software engineering roles
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Strong hands-on Kubernetes experience operating production systems at scale
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Deep experience with AWS infrastructure, including networking, IAM, compute, storage, and observability services
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Experience with infrastructure-as-code tooling such as Terraform, AWS CDK, or CloudFormation
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Strong programming skills in Python, Go, TypeScript, or similar languages
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Experience designing and operating distributed systems and event-driven architectures
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Strong debugging and incident response skills across infrastructure and application layers
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Experience building CI/CD systems and deployment automation pipelines
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Ability to work cross-functionally and take ownership of systems end-to-end
What Sets You Apart:
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Experience with GitOps workflows and tools such as ArgoCD
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Experience with observability tooling such as Prometheus, Grafana, OpenTelemetry, or Datadog
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Experience operating Kafka, PostgreSQL, Redis, or other distributed data systems
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Experience with autoscaling systems such as KEDA
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Experience building internal developer platforms or shared engineering infrastructure
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