Backend Engineer - High-Volume Data Systems

Smarsh; Portland (OR); On-site; USD 115,000 - 145,000; Full time

Benefits offered by this job

Healthcare insurance

Stock options

PTO

401K match

Sabbatical

Recognition

Job summary

Smarsh is seeking a Software Engineer for the Ingestion Team to design, build, and operate high-throughput backend services that reliably capture, process, and archive client data. You will work with Product, Engineering, and Site Reliability to deliver resilient systems and improve operations.

The role emphasizes reliability, security, and performance at scale. You will design scalable architectures, contribute to on-call incident response, and advance observability, CI/CD, and DevOps

Qualifications

• 4+ years of software engineering experience.
• Experience with high-volume messaging and queuing systems.
• Knowledge of backend technologies (C#, Java, .NET Core or similar).
• Familiarity with observability, metrics, logs, tracing, and alerts.

Responsibilities

• Design, build, and operate high-availability backend services.
• Contribute to incident response and prevention.
• Develop observability with metrics, logs, and dashboards.
• Deploy and manage services in Kubernetes.
• Troubleshoot production issues to improve resilience.
• Review code and reduce technical debt.
• Collaborate across Product, Engineering, and Site Reliability.
• Stay current with new technologies and AI-assisted development.

Skills

Messaging systems

Backend development

Observability

Kubernetes

Linux

Code review

Open source contributions

Compliance experience

AI-assisted development

Tools

Kafka

AMQ

MS SQL

Kubernetes

GitHub Copilot

Windsurf

Claude Code

Job description

Smarsh is seeking a Software Engineer for the Ingestion Team to design, build, and operate high-throughput backend services that reliably capture, process, and archive client data. You will work with Product, Engineering, and Site Reliability to deliver resilient systems and improve operations.

The role emphasizes reliability, security, and performance at scale. You will design scalable architectures, contribute to on-call incident response, and advance observability, CI/CD, and DevOps