Drimva

Salesforce

Director of Software Engineering, DNS Engineering

$197K–$345K

Washington - Bellevue +1 · Office - Flexible · Director · Full-time · Posted Oct 28, 2026

Location
Washington - Bellevue
California - San Francisco
Experience
12+ years in software engineering; 5+ years leading engineering teams; at least 2 years managing managers.
Education
BS/MS in Computer Science or a related field, or equivalent practical experience.

About the job

Leads the strategy, engineering, security, and operations of Salesforce’s Tier-0 DNS and DDI infrastructure across data centers and public cloud.

What you'll do

  • Set the multi-year DNS/DDI roadmap and lead delivery, modernization, and operational excellence.
  • Build and lead engineering teams; own availability, SLOs, incident response, and live-site health.
  • Advance automation, self-service, security, and AI-assisted operations while coordinating with partner teams.

What they ask for

  • 12+ years of software engineering experience, including 5+ years leading engineering teams and at least 2 years managing managers.
  • Deep knowledge of DNS and internet protocols, plus experience operating Tier-0 or Tier-1 services in 24x7x365, multi-datacenter environments.
  • Experience with distributed systems, Linux, backend development, public cloud, Kubernetes or Docker, and Infrastructure as Code.
  • BS/MS in Computer Science or a related field, or equivalent practical experience.

Nice to have

  • Python or Go; experience with DNS technologies such as BIND, dnsdist, PowerDNS, or Unbound, and managed DNS services.
  • Experience with DDI/IPAM platforms, large infrastructure migrations, DDoS mitigation, or agentic/ML-driven operations tools.

Pay

USD $197,300 - $313,700 annually (base salary); USD $237,700 - $344,700 annually (base salary)

Tools

BIND, dnsdist, AWS Route 53, GCP Cloud DNS, Kubernetes, Terraform, Puppet, Splunk

AI focus

Use AI-assisted development and agentic tooling to reduce toil, catch risky changes, and speed investigations; experience driving productivity with AI-assisted development tools and automation is required.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)