Sr. Software Engineer, DNS Engineering and Automation
Listed on 2026-06-02
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Software Development
Software Engineer, Cloud Engineer - Software, DevOps
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Job CategorySoftware Engineering
Job DetailsAbout Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Overview of the RoleSalesforce'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.
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
- 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…
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