Senior Software Engineer - DNS Operations

Salesforce•San Francisco, CA

2d•Onsite

About The Position

Salesforce's DNS team seeks a Senior Engineer to join the DNS Operations team. This team is responsible for 24x7 support of the Salesforce public cloud environments. As a member of the DNS Operations team, you will be responsible for incident management on all aspects of the production DNS solution, including performing break/fix and proactive maintenance to resolve outages and minimize the potential for future impact. This includes building, upgrading, and decommissioning public cloud environments. You will support Hyperforce DNS-related customer issues and ensure thorough root cause analysis is completed on all the customer-impacting problems. Salesforce hosts web services and applications written by thousands of internal developers and tens of thousands of customers to provide the largest business automation cloud on the planet. The compute infrastructure is evolving to fully embrace lights-out operations, single-click deploy to tens of thousands of nodes, and services that self-heal and self-optimize. Salesforce is building out our compute infrastructure team to reinvigorate the way we deliver, deploy, operate, secure, monitor, and repair our data centers and the code that runs across them - at consumer web scale. We are looking to add experienced distributed systems engineers who can step up and own big chunks of that vision.

Requirements

Minimum of 5 years object-oriented coding experience in Go/Python.
Experience developing, using, and maintaining REST services and clients.
General understanding on the functions and management of network services including DNS, DHCP and IPAM.
Working experience with source code management, testing frameworks, code packaging, and build/release processes
Working experience in Linux OS environments
Excellent communication skills, both written and verbal
Strong troubleshooting skills, especially in a complex application stack
A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready
A related technical degree required

Nice To Haves

Experience building and maintaining continuous integration tests.
Jenkins and Puppet experience
Experience using Infoblox devices and WAPI interface

Responsibilities

Develop software services to manage DNS, DHCP, IP Allocation Management infrastructure in a distributed systems environment
Write clean, reusable, testable REST APIs in an agile environment
Work closely with a cross functional team of software developers, network engineers and system engineers to define the tools, processes and implementation to support agile software development
Support management of the team’s technical infrastructure (e.g., repository, build system, testing system)
Participate in on-call rotation to support the team's live site services
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
Perform other duties as assigned