Software Engineer, Site Reliability (SRE)

5+ years of hands-on experience in Site Reliability or Infrastructure engineering roles for complex SaaS or cloud-based systems.

Experience designing for availability, scalability, and reliability at both infrastructure and application layers.

Deep experience with Terraform, AWS services, container orchestration, and cloud networking (including IAM and VPC architecture).

Strong background in observability systems (e.g., Prometheus, Grafana, Datadog, or similar).

Experience working with enterprise customers and familiarity with their compliance and networking needs along with integration patterns.

Comfortable working in fast-moving environments and collaborating across product, ML, and core engineering teams.

Degree in Computer Science or a related field, or equivalent professional experience.

Experience with LLM infrastructure — optimizing inference performance, managing fine-tuned models, or large-scale model deployment.

Past experience in an early-stage startup environment, especially defining SRE culture and tooling from scratch.

Familiarity with incident management automation or self-healing infrastructure patterns.

Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.

Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.

Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.

Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.

Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.

We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.