About the roleYou'll own the operational health of our full backend platform, building automation and tooling that improves reliability and partnering with engineering to design systems that are observable, resilient, and easy to operate. Your work directly impacts every Gamma user's experience.
This is a high-impact role where you'll balance reliability with velocity, knowing when to move fast and when to prioritize stability. You'll lead incident response, drive systemic improvements, and help shape how Gamma scales to serve its next 100 million users.
Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.
What you'll do- Own the reliability, availability, and performance of Gamma's production systems across our AWS infrastructure
- Build observability infrastructure from the ground up: metrics, logging, tracing, and alerting that give the team genuine visibility into system health before users feel the impact
- Design and ship automation that reduces toil, makes deployments safer, and gets us back on our feet faster when things go wrong
- Lead incident response and blameless post-mortems, then follow through on the systemic fixes that keep the same issues from coming back
- Partner with engineering teams on architecture reviews, SLO and SLI design, and reliability best practices that scale with the product
- Manage and optimize our compute, networking, databases, and managed services
What you'll bring- 5+ years in site reliability engineering, DevOps, or systems engineering with deep, hands-on AWS expertise
- Strong programming skills in Python, Go, or TypeScript/Node.js, applied to building real tools and automation
- Solid experience with infrastructure-as-code (Terraform, CloudFormation) and end-to-end observability solutions
- Track record of making systems meaningfully more reliable through automation, smarter monitoring, and architectural improvements
- Deep understanding of networking, distributed systems, containerization (Docker, Kubernetes), and database performance at scale
- Sharp incident management instincts and the debugging skills to navigate complex production failures
- Experience scaling SaaS products to millions of users, or background with Kafka, chaos engineering, or service mesh technologies (Nice to have)
- AWS certifications, or experience with security and compliance frameworks like SOC 2 or ISO 27001 (Nice to have)
Compensation range:The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $310K plus benefits & equity.
Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.
If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.
