Sr. Software Engineer, Cloud Network - Slack

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The role involves designing and operating systems for Slack’s global cloud networking stack, ensuring reliability and efficiency in the infrastructure that supports over 17M daily active users.

Responsibilities:

• Design, build, and operate the systems that power Slack’s global cloud networking stack—including ingress/egress load balancing, service-to-service networking, DNS, CDN, and traffic management
• Develop and automate detection, mitigation, and response systems to defend against DDoS and other large-scale network threats
• Contribute to infrastructure-as-code and automation frameworks to improve reliability, repeatability, and efficiency
• Troubleshoot complex issues across applications, distributed systems, and networks in Linux-based environments
• Partner closely with AWS and other engineering teams to scale Slack’s worldwide infrastructure and adopt new cloud technologies
• Drive improvements in system observability, reliability, and ease-of-use by iterating quickly on designs and collaborating across engineering
• Participate in on-call rotations to ensure the availability and resiliency of critical Slack infrastructure

Requirements:

• U.S. Citizenship or Permanent Residency (Green Card holder). We are unable to provide visa sponsorship for this role
• 5+ years of experience in software engineering, with a strong focus on distributed systems, cloud-native applications, and microservices
• Hands-on experience with cloud providers such as AWS or GCP
• Strong knowledge of TCP/IP, DNS, DNSSEC, and related network protocols
• Proven track record of building tools, automation, or services using one or more programming languages (e.g., Go, Ruby, Python, C/C++)
• Extensive experience with infrastructure-as-code (Terraform, CloudFormation)
• Prior experience deploying, operating, and debugging server software on Linux
• Strong interpersonal and communication skills; able to explain complex technical concepts to designers, support staff, and fellow engineers
• A BS, MS, or Ph.D. in Computer Science, Engineering, or related technical field (or equivalent work experience)
• A domain expert within the AWS ecosystem (NLB, VPC / IAM / S3 / EC2)
• Experience contributing to or operating large-scale, highly available production systems
• Knowledge of DDoS detection/mitigation strategies and automation frameworks
• Interest in cost optimization and operational efficiency at cloud scale