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# Backend Engineer- INTL- LATAM

- **Company:** Insight Global
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $76,960.0 - $93,600.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Bash Shell, Cloud Computing, Databases, Data Migration, Disaster Recovery, Distributed Systems, Elasticsearch, Python (Programming Language), PostgreSQL, NetApp Applications, PVCS Version Manager, Scripting, Snowflake, Backend, Kubernetes, Infrastructure Automation Frameworks, Azure AKS, Vertica, Terraform
- **Published:** June 12, 2026
- **Apply:** https://dejobs.org/x/x/A412346D0FE548D5AB387D3DACBF14AF/job/

## About the Role

7+ Years of experience as a software engineer

-2 years of experience hands-on with Kubernetes StatefulSets, PVCs, and CSI

-Strong experience operating stateful services in production (e.g., Postgres, ClickHouse, Elasticsearch)

-Cloud knowledge- Azure preferred

-Experience automating infrastructure using Terraform

-Strong scripting or development skills in Go, Python, or Bash -Experience building GitOps workflows for complex, ordered deployments

-Background in custom controllers, operators, or lifecycle hooks (PreStop/PostStart)

-Experience with disaster recovery testing, RTO/RPO optimization, and snapshot automation

-Strong observability mindset (dashboards, alerts, SLOs for stateful systems)

-Prior ownership of large-scale distributed systems on Kubernetes

## Description

Insight Global is seeking a for a Backend Engineer with Kubernetes infrastructure knowledge to own the design, automation, and reliability of stateful workloads running on Azure AKS. This role focuses on building highly available, self-healing systems for databases and storage-backed services, eliminating manual intervention and "snowflake" configurations while meeting 99.99% uptime targets.

What You'll Do

-Own the full lifecycle of Kubernetes StatefulSets, including provisioning, scaling, upgrades, and graceful failover

-Design and implement high-availability architectures using pod anti-affinity, topology spread constraints, and zonal resilience

-Optimize and tune Azure persistent storage (Premium/Ultra Disks, Azure NetApp Files) via CSI drivers

-Build and automate disaster recovery workflows, including snapshot, restore, and rapid state reconciliation

-Provision and manage stateful infrastructure using Terraform and infrastructure-as-code best practices

-Create observability and alerting for PV utilization, disk pressure, replication lag, and storage health

-Ensure cluster upgrades and node rotations happen with zero manual data migration


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