Software Engineer II - Slack Developer Workspaces

Slack•San Francisco, CA

2d•$178,900 - $246,000

About The Position

Salesforce’s Slack Developer Workspaces team operates the remote development environments used by Slack engineers to build and test Slack, and is developing isolated sandboxes for AI coding agents. The Software Engineer II will strengthen the team’s infrastructure and operations capabilities, own production systems early, participate in on-call, and help determine how agents run safely at Slack. The role involves building and operating reliable, secure infrastructure on AWS and Kubernetes, and using AI agents in day-to-day engineering work.

Requirements

At least 3 years of experience building and operating production systems.
Background in infrastructure, SRE, DevOps, or platform engineering, including on-call experience for production systems.
Strong AWS knowledge, including EC2, networking, and IAM.
Experience managing infrastructure as code with Terraform or a comparable tool.
Ability to write solid code in Go or Python.
Daily use of AI coding tools and informed opinions about their limitations.
Takes ownership and responds proactively when systems break.

Nice To Haves

Experience with Firecracker, KVM, or other virtualization technologies.
Experience running Kubernetes in production.
Security background, including VM or container isolation, vulnerability management, or threat modeling.
Comfort with Linux internals and networking.
Experience on a developer productivity or platform team.

Responsibilities

Scale the AI sandbox fleet through capacity planning, safe rollouts, image builds, and alerting.
Strengthen isolation between agents, sandboxes, and Slack through network separation, egress controls, secrets handling, and patching.
Operate and improve remote development environments, including Terraform, machine images, and automation to pause idle environments.
Build useful observability, including SLOs, dashboards, and accessible logs.
Join the weekly on-call rotation after ramp-up; address incidents and automate fixes.
Use AI agents heavily in daily work and help build the platform they run on.