Sr. DNS Engineer

Salesforce•San Francisco, CA

11d•$148,500 - $246,000•Remote

About The Position

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. Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems.

Requirements

Minimum of 5+ years of backend software development experience (Python) working with Cloud Architecture
In-depth, hands-on experience with Linux Systems Administration and Troubleshooting, servers, and Cloud architecture. Good knowledge of Linux internals.
Proven professional work experience with Python. In-depth understanding of OOP, design patterns, data structures, algorithms, and concurrency.
Public cloud engineering on GCP, AWS, and or Azure platforms. Cloud provisioning, infrastructure, and migration at cloud scale.
Use of AI assisted development tools to automate DNS and infrastructure management.
Solid understanding of configuring, deploying, managing, and maintaining large cloud-hosted systems.
Experience with container and orchestration systems like Kubernetes, Docker, etc.
Experience with infrastructure automation tools like Splunk, Puppet, Spinnaker, Terraform, git, etc.
Strong understanding of fundamental network technologies like DNS, Load Balancing, SSL, TCP/IP, SQL, HTTP, Switches, Routers.
CI/CD experience with tools like Jenkins, and Travis CI.
Implementation experience of large infrastructure projects.
A continuous learner, a critical thinker, and a team player with excellent communication skills.
Embrace a culture and work environment that promotes diversity and inclusion.
Configuration management with open-source tools, ideally Puppet, Chef, Salt, or Ansible.
Experience maintaining monitoring platforms like Grafana.
Experience with Agile development methodology and Test Driven Development

Nice To Haves

Experience using AWS Route 53.
Working in high-availability, 24x7x365 large-scale multi-datacenter environment
Highly skilled in packet analysis, network analysis tools, troubleshooting, and analytical fault diagnosis.
Security hardening of network infrastructure, such as DNSSEC

Responsibilities

Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms
Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers
Using and contributing to open source technology
Developing Infrastructure-as-Code
Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos
Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance
Balancing live-site management, feature delivery, and retirement of technical debt
Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available