Description

About the Team

At Slack, the Cloud Engineering team is the backbone of our infrastructure — a dynamic group of Cloud Engineers, Financial Analysts, and AWS Subject Matter Experts united by a single mission: keeping Slack fast, reliable, and cost-efficient for millions of users worldwide.

We tackle unique, large-scale challenges that very few engineers ever get to work on. From designing the systems that power global real-time communication to writing software that brings deep visibility into our cloud infrastructure, our work has direct impact every single day. We partner with teams across Slack to maximize cloud value, champion cost-conscious engineering, and build a platform that scales with our ambitions. If you're energized by high availability, resilience, and the right technology choices — this is the team for you.

Slack has a positive, diverse, and supportive culture — we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, read on ahead!

What you will be doing:

• Lead software projects end-to-end — from scoping and architecture through delivery, iteration, and long-term ownership

• Architect and build a next-generation internal platform that gives engineering teams a powerful foundation to innovate quickly

• Deliver cutting-edge solutions leveraging containerization, virtualization, and a broad suite of AWS services

• Author, extend, and improve Terraform modules that power infrastructure-as-code across Slack

• Design and implement an in-house system to deploy, manage, and scale applications for service owners

• Partner directly with development teams to identify performance bottlenecks and drive cloud efficiency improvements

• Build strong, trusted relationships with service owners — serving as a go-to advisor on cloud architecture and best practices

• Champion a culture of platform efficiency by sharing knowledge, writing runbooks, and leading internal enablement sessions

• Mentor and grow junior engineers, scaling the impact of the team through thoughtful technical leadership

• Make a measurable financial impact — driving millions of dollars in cloud cost savings annually

• Participate in on-call rotation and collaborate with our operations team to triage and resolve production incidents with urgency and precision

• Build observability and introspection tooling that gives engineers deep, real-time visibility into system health and bottlenecks

What you should have:

• U.S. Citizenship or Permanent Residency (Green Card holder). We are unable to provide visa sponsorship for this role.

• Genuine curiosity about how cloud infrastructure works — and a passion for sharing that knowledge with your team

• Proven ability to analyze, optimize, and improve reliability in high-traffic, production internet applications

• A strong mentoring instinct and commitment to engineering excellence: you lead by example in code reviews, testing, design docs, and debugging

• Deep, hands-on AWS experience — broad familiarity across many services with deep expertise in at least a few

• Demonstrated experience deploying cloud applications and managing infrastructure-as-code using Terraform and/or CloudFormation

• Strong ability to troubleshoot and debug complex issues across infrastructure, applications, and distributed systems

• A track record of professional software development you're proud of — you can point to real-world systems you've built, scaled, and improved

• Experience working with Kubernetes (K8s)

Qualifications:

• 7+ years of professional experience in cloud engineering or a closely related discipline, working in a collaborative team environment

• Strong computer science fundamentals: data structures, algorithms, distributed systems, programming languages, and information retrieval

• Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent training, fellowship, or work experience

• Proficiency in one or more functional or imperative programming languages — Python, Go, or PHP preferred

• Hands-on experience with software engineering, scripting, automation, and orchestration tools (e.g., Bash, Chef, Jenkins, Terraform)

• Extensive, production-grade experience provisioning, configuring, and maintaining AWS environments

• Experience managing large-scale Kubernetes systems (EKS or Bare Metal)

Bonus Points:

• Deep expertise in core AWS services such as EKS, EC2, IAM, Fargate, S3, or Lambda

• AWS Professional or Specialty certification(s)

• Experience designing or operating large-scale, high-volume distributed systems

• A proven history of driving significant cloud cost reductions at scale

• Familiarity with observability tooling (e.g., Datadog, Prometheus, OpenTelemetry) and SRE practices