Our Compensation Philosophy:

• Market-based: Our formula ensures new hires earn at or above real-time benchmarks.

• Ownership: Our generous equity program ensures new hires are owners, not just employees.

• Transparent: We openly discuss salary expectations to avoid surprises later in the process.

• Data-driven: We use objective data to remove bias and ensure consistency in compensation decisions.

About the Role

We’re looking for an experienced Site Reliability Engineer (SRE) to help us scale our platform with reliability, observability, and operational excellence at the core. You’ll partner with engineers and data scientists to build, automate, and maintain the infrastructure that powers our core platform—including data pipelines, ML workloads, and real-time analytics systems.

This is a hands-on, high-impact role with visibility across the stack and the opportunity to shape the future of our infrastructure and operations.

Key Responsibilities

• Design, build, and maintain scalable infrastructure to support real-time analytics and machine learning workloads

• Improve system reliability and performance through automation, observability, and proactive capacity planning

• Own and evolve CI/CD pipelines, deployment automation, rollback mechanisms, and config management

• Implement and maintain monitoring, alerting, and incident response processes (SLOs, runbooks, on-call rotations)

• Collaborate across engineering and data science teams to drive a culture of performance and reliability

• Ensure security, compliance, and operational readiness across our cloud infrastructure

• Drive post-incident analysis and continuous improvement initiatives
  

Must-Have Qualifications

• 8+ years of experience in SRE, DevOps, or infrastructure engineering roles

• Deep experience with cloud environments (AWS preferred), containerization (Docker), and orchestration (Kubernetes)

• Solid understanding of infrastructure-as-code (e.g., Terraform, Ansible)

• Strong knowledge of Linux systems, networking, and systems performance tuning

• Experience with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, ELK, OpenTelemetry)
  Proficiency with CI/CD tools and pipelines (e.g., GitHub Actions, ArgoCD, etc.)

• Ability to debug complex systems and automate solutions in scripting languages (Python, Bash, etc.)

• Excellent communication skills and the ability to work cross-functionally
  

Nice-to-Have

• Experience supporting data-intensive platforms (Spark, Airflow, Kafka, etc.)

• Familiarity with security practices for cloud-native applications and infrastructure

• Experience in high-compliance or SOC-2 environments
  

What You’ll Get

• Ownership of mission-critical infrastructure in a company solving real-world enterprise problems

• A front-row seat to a high-performance engineering culture

• The ability to influence how our platform scales—from deployment to incident management

• An environment that values curiosity, accountability, and impact

Compensation Range: $210K - $240K