Sr. Software Engineer, DNS and Cloud Infrastructure

Salesforce•Bellevue, WA

About The Position

Salesforce is seeking a Senior Software Engineer for its DNS and Cloud Infrastructure work. The Public Cloud engineering teams build and maintain a large-scale distributed systems platform that delivers features to tens of millions of users. The role focuses on developing and operating reliable, secure, high-performance cloud infrastructure and backend systems, with an emphasis on concurrency, data management, availability, and resilience. The engineer will create cloud infrastructure automation tools, frameworks, workflows, and validation platforms; develop and operate distributed systems across compute nodes and data centers; and build microservices and infrastructure-as-code solutions. The position also involves using and contributing to open-source technologies, handling live-site operations and technical debt, and taking part in an on-call rotation.

Requirements

At least 5 years of backend software development experience with Python and cloud architecture.
Hands-on experience with Linux systems administration and troubleshooting, servers, and cloud architecture; good knowledge of Linux internals.
Professional work experience with Python.
In-depth understanding of object-oriented programming, design patterns, data structures, algorithms, and concurrency.
Public cloud engineering experience with GCP, AWS, and/or Azure.
Experience with cloud provisioning, infrastructure, and migration at cloud scale.
Experience using AI-assisted development tools to automate DNS and infrastructure management.
Understanding of configuring, deploying, managing, and maintaining large cloud-hosted systems.
Experience with container and orchestration systems such as Kubernetes and Docker.
Experience with infrastructure automation tools such as Splunk, Puppet, Spinnaker, Terraform, and Git.
Strong understanding of DNS, load balancing, SSL, TCP/IP, SQL, HTTP, switches, and routers.
CI/CD experience with tools such as Jenkins and Travis CI.
Implementation experience with large infrastructure projects.
Continuous-learning, critical-thinking, and teamwork skills, with excellent communication skills.
Willingness to embrace a diverse and inclusive culture and work environment.
Configuration management experience with open-source tools, ideally Puppet, Chef, Salt, or Ansible.
Experience maintaining monitoring platforms such as Grafana.
Experience with Agile development methodology and test-driven development.

Nice To Haves

Experience using AWS Route 53.
Experience working in a high-availability, 24x7x365, large-scale, multi-data-center environment.
High skill in packet analysis, network analysis tools, troubleshooting, and analytical fault diagnosis.
Experience with security hardening of network infrastructure, such as DNSSEC.

Responsibilities

Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on public cloud platforms.
Design, develop, debug, and operate resilient distributed systems across thousands of compute nodes in multiple data centers.
Use and contribute to open-source technology.
Develop Infrastructure-as-Code.
Write microservices using containerization frameworks such as Kubernetes, Docker, and Mesos.
Resolve complex technical issues and drive innovations that improve system availability, resilience, and performance.
Balance 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.