Infrastructure Engineer

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Infrastructure Engineer in USA new

Kastle
Full time
Email

USA
11/05/2026
Report

San Francisco, CA

Responsibilities

Design and operate distributed systems emphasizing consistency, fault tolerance, horizontal scalability, and low-latency coordination.
Architect service communication, coordination, and state management across regions and availability zones.
Own Kubernetes cluster architecture, scaling, upgrades, networking, and security hardening.
Build Terraform modules and GitOps pipelines for reviewed, versioned, repeatable infrastructure changes.
Design replication, failover, backups, disaster recovery, and change logging for regulated systems.
Diagnose production failures including network partitions, cascading failures, split-brain scenarios, and race conditions.
Build observability through metrics, distributed tracing, logging, and alerting.
Partner with ML, platform, security, and product engineering teams on capacity planning and architecture reviews.
Participate in production infrastructure on-call and mentor engineers on distributed systems and infrastructure-as-code changes.

Requirements

At least 5 years of experience in infrastructure, platform, or backend engineering with substantial hands-on distributed systems experience.
Strong understanding of consensus, replication, partitioning, consistency models including CAP and PACELC, and distributed-systems failure modes.
Production experience with at least one major cloud provider: AWS, GCP, or Azure.
Hands-on experience running Kubernetes in production, including upgrades, networking, and security policy.
Experience designing or operating distributed data stores, message queues, or event-streaming systems such as Kafka, etcd, Cassandra, or CockroachDB.
Strong infrastructure-as-code experience, preferably with Terraform, and experience with CI/CD pipelines.
Programming or scripting proficiency in Go, Python, or Rust for building distributed tooling.
Experience owning production reliability, including on-call, incident response, and postmortems.
Ability to work onsite and collaborate closely with product, ML, and security teams.

Benefits

Onsite work arrangement.
Participation in an on-call rotation for production infrastructure.

Salary: $180k - $275k/yr

Kastle

Kastle is developing an AI operating system specifically for consumer lending, starting with mortgage services. By collaborating with major mortgage lenders, we leverage AI voice agents to enhance contact center efficiency and compliance operations, transforming the way borrowers and financial in...

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